Recipient.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "632dbdbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sb\n",
    "import matplotlib.pyplot as plt\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ceed6b51",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: flatten_json in c:\\users\\fanni\\anaconda3\\lib\\site-packages (0.1.13)\n",
      "Requirement already satisfied: six in c:\\users\\fanni\\anaconda3\\lib\\site-packages (from flatten_json) (1.15.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install flatten_json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "983b8974",
   "metadata": {},
   "outputs": [],
   "source": [
    "#!/usr/bin/env python\n",
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "from flatten_json import flatten\n",
    "from dateutil import parser\n",
    "\n",
    "match_id = '8pm2qt7pp2m2qgnzwrrg8no8a'\n",
    "filename_event = f'events-ma13-{match_id}.json'\n",
    "filename_metadata = '2021-08-19-jpl-season-2020-2021-squads.csv'\n",
    "path = r'C:\\Users\\fanni\\Documents\\Egyetem\\SzakmaiGyakorlat\\StartUp\\AdjacencyMatrix\\\\'\n",
    "\n",
    "tracking_cols = ['timestamp', 'time_of_current_half', 'half_indicator', 'match_not_in_play',\n",
    "                 'player_1_teamId', 'player_1_objectId', 'player_1_jerseyNum', 'player_1_x', 'player_1_y',\n",
    "                 'player_2_teamId', 'player_2_objectId', 'player_2_jerseyNum', 'player_2_x', 'player_2_y',\n",
    "                 'player_3_teamId', 'player_3_objectId', 'player_3_jerseyNum', 'player_3_x', 'player_3_y',\n",
    "                 'player_4_teamId', 'player_4_objectId', 'player_4_jerseyNum', 'player_4_x', 'player_4_y',\n",
    "                 'player_5_teamId', 'player_5_objectId', 'player_5_jerseyNum', 'player_5_x', 'player_5_y',\n",
    "                 'player_6_teamId', 'player_6_objectId', 'player_6_jerseyNum', 'player_6_x', 'player_6_y',\n",
    "                 'player_7_teamId', 'player_7_objectId', 'player_7_jerseyNum', 'player_7_x', 'player_7_y',\n",
    "                 'player_8_teamId', 'player_8_objectId', 'player_8_jerseyNum', 'player_8_x', 'player_8_y',\n",
    "                 'player_9_teamId', 'player_9_objectId', 'player_9_jerseyNum', 'player_9_x', 'player_9_y',\n",
    "                 'player_10_teamId', 'player_10_objectId', 'player_10_jerseyNum', 'player_10_x', 'player_10_y',\n",
    "                 'player_11_teamId', 'player_11_objectId', 'player_11_jerseyNum', 'player_11_x', 'player_11_y',\n",
    "                 'player_12_teamId', 'player_12_objectId', 'player_12_jerseyNum', 'player_12_x', 'player_12_y',\n",
    "                 'player_13_teamId', 'player_13_objectId', 'player_13_jerseyNum', 'player_13_x', 'player_13_y',\n",
    "                 'player_14_teamId', 'player_14_objectId', 'player_14_jerseyNum', 'player_14_x', 'player_14_y',\n",
    "                 'player_15_teamId', 'player_15_objectId', 'player_15_jerseyNum', 'player_15_x', 'player_15_y',\n",
    "                 'player_16_teamId', 'player_16_objectId', 'player_16_jerseyNum', 'player_16_x', 'player_16_y',\n",
    "                 'player_17_teamId', 'player_17_objectId', 'player_17_jerseyNum', 'player_17_x', 'player_17_y',\n",
    "                 'player_18_teamId', 'player_18_objectId', 'player_18_jerseyNum', 'player_18_x', 'player_18_y',\n",
    "                 'player_19_teamId', 'player_19_objectId', 'player_19_jerseyNum', 'player_19_x', 'player_19_y',\n",
    "                 'player_20_teamId', 'player_20_objectId', 'player_20_jerseyNum', 'player_20_x', 'player_20_y',\n",
    "                 'player_21_teamId', 'player_21_objectId', 'player_21_jerseyNum', 'player_21_x', 'player_21_y',\n",
    "                 'player_22_teamId', 'player_22_objectId', 'player_22_jerseyNum', 'player_22_x', 'player_22_y',\n",
    "                 'to_del_1',\n",
    "                 'ball_x', 'ball_y', 'ball_z',\n",
    "                 'to_del_2']\n",
    "filename = f'tracking-data-{match_id}-25fps.txt'\n",
    "tracking = pd.read_csv(path + filename, sep=\";|,|:\", names=tracking_cols, header=None, engine='python')\n",
    "tracking = tracking.drop(labels=['to_del_1', 'to_del_2'], axis=1)\n",
    "\n",
    "temp = tracking[tracking['half_indicator'] == 1]['time_of_current_half'].max()\n",
    "tracking['timeMilliSec'] = tracking['time_of_current_half'] + temp * (tracking['half_indicator'] - 1)\n",
    "\n",
    "with open(path + filename_event) as f:\n",
    "    d = json.load(f)\n",
    "\n",
    "\n",
    "def jsonNormalize(data):\n",
    "    dic_flattened = (flatten(dd) for dd in data)\n",
    "    df = pd.DataFrame(dic_flattened)\n",
    "    return df\n",
    "\n",
    "\n",
    "df1 = jsonNormalize(d['liveData']['event'])\n",
    "interesting_periods = [1, 2, 3, 4, 5]\n",
    "interesting_event_ids = [1, 2, 3, 7, 8, 10, 11, 12, 13, 14, 15, 16, 41, 50, 52, 58, 61, 74]\n",
    "df2 = df1[df1['typeId'].apply(lambda x: x == 32)]\n",
    "df1 = df1[df1['periodId'].apply(lambda x: x in interesting_periods)]\n",
    "df1 = df1[df1['typeId'].apply(lambda x: x in interesting_event_ids)]\n",
    "\n",
    "id_mapping = pd.read_csv(path + filename_metadata)\n",
    "id_mapping = id_mapping[['matchName', 'stats_id']]\n",
    "id_mapping.columns = ['playerName', 'playerTrackingId']\n",
    "\n",
    "\n",
    "def get_tr_id(playerNames):\n",
    "    ids = []\n",
    "    for playerName in playerNames:\n",
    "        id = id_mapping[id_mapping['playerName'] == playerName]['playerTrackingId'].values[0]\n",
    "        ids.append(id)\n",
    "    return ids\n",
    "\n",
    "\n",
    "df1['playerTrackingId'] = get_tr_id(df1['playerName'].values)\n",
    "\n",
    "# Calculate remaining time from half\n",
    "# Need to group by period because extra time may differ\n",
    "\n",
    "df1['to_sec'] = df1['timeMin'] * 60 + df1['timeSec']\n",
    "df1['sec_remaining'] = df1.groupby('periodId').to_sec.transform('max') - df1.to_sec\n",
    "\n",
    "temp = df1.iloc[0]['timeStamp'].replace('Z', '-01')\n",
    "temp2 = df1[(df1['periodId'] == 2) & (df1['to_sec'] == 45 * 60)]['timeStamp'].values[0].replace('Z', '-01')\n",
    "OFFSET_1 = tracking.iloc[0]['timestamp'] - parser.parse(temp).timestamp() * 1000\n",
    "OFFSET_2 = tracking[(tracking['half_indicator'] == 2) & (tracking['time_of_current_half'] == 0)]['timestamp'].values[\n",
    "               0] - parser.parse(temp2).timestamp() * 1000\n",
    "\n",
    "\n",
    "# syncs the tracking and event timestamps for better matching later\n",
    "def getmillisecs(timestamps, half):\n",
    "    out = []\n",
    "    for timestamp in timestamps:\n",
    "        timestamp = timestamp.replace('Z', '-01')\n",
    "        if half == 1:\n",
    "            yourdate = parser.parse(timestamp).timestamp() * 1000 + OFFSET_1\n",
    "        else:\n",
    "            yourdate = parser.parse(timestamp).timestamp() * 1000 + OFFSET_2\n",
    "        out.append(yourdate)\n",
    "    return out\n",
    "\n",
    "\n",
    "firsthalf = df1.loc[df1['periodId'] == 1]['timeStamp'].values.tolist()\n",
    "secondhalf = df1.loc[df1['periodId'] == 2]['timeStamp'].values.tolist()\n",
    "first = getmillisecs(firsthalf, 1)\n",
    "second = getmillisecs(secondhalf, 2)\n",
    "timestamps = first + second\n",
    "df1['timeStamp'] = timestamps\n",
    "\n",
    "matchinfo = jsonNormalize(d['matchInfo']['contestant'])\n",
    "\n",
    "half1_team1_attackdir = df2['qualifier_0_value'].iloc[0]  # 'Right to Left' or 'Left to Right'\n",
    "df1['Pass_end_x'] = np.nan\n",
    "df1['Pass_end_y'] = np.nan\n",
    "\n",
    "if (half1_team1_attackdir == 'Right to Left'):\n",
    "    df1.loc[(df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[0]), ['x']] = 100 - df1['x']\n",
    "    df1.loc[(df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[1]), ['x']] = 100 - df1['x']\n",
    "    df1.loc[(df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[0]), ['y']] = 100 - df1['y']\n",
    "    df1.loc[(df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[1]), ['y']] = 100 - df1['y']\n",
    "    # transform the pass destination too\n",
    "    # X:\n",
    "    for colnum in range(0, 22):\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "        # Y:\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "elif (half1_team1_attackdir == 'Left to Right'):\n",
    "    df1.loc[(df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[1]), ['x']] = 100 - df1['x']\n",
    "    df1.loc[(df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[0]), ['x']] = 100 - df1['x']\n",
    "    df1.loc[(df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[1]), ['y']] = 100 - df1['y']\n",
    "    df1.loc[(df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[0]), ['y']] = 100 - df1['y']\n",
    "\n",
    "    # transform the pass destination too\n",
    "    # X:\n",
    "    for colnum in range(0, 22):\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &  # here\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "        # Y:\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "# Pass_end_x and Pass_end_y now only contains the values that need to be flipped, so:\n",
    "df1['Pass_end_x'] = pd.to_numeric(df1.Pass_end_x, errors='coerce')\n",
    "df1['Pass_end_y'] = pd.to_numeric(df1.Pass_end_y, errors='coerce')\n",
    "\n",
    "df1['Pass_end_x'] = 100 - df1['Pass_end_x']\n",
    "df1['Pass_end_y'] = 100 - df1['Pass_end_y']\n",
    "\n",
    "# Now add the ones that will not need flipping.\n",
    "if (half1_team1_attackdir == 'Right to Left'):\n",
    "\n",
    "    # X: (do we need typeId too??)\n",
    "    for colnum in range(0, 22):\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "        # Y:\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "elif (half1_team1_attackdir == 'Left to Right'):\n",
    "    # X:\n",
    "    for colnum in range(0, 22):\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 140) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_x']] = (df1[f'qualifier_{colnum}_value'])\n",
    "        # Y:\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 1) & (df1['contestantId'] == df2['contestantId'].iloc[0]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "        df1.loc[(df1[f'qualifier_{colnum}_qualifierId'] == 141) &\n",
    "                (df1['periodId'] == 2) & (df1['contestantId'] == df2['contestantId'].iloc[1]),\n",
    "                ['Pass_end_y']] = (df1[f'qualifier_{colnum}_value'])\n",
    "\n",
    "df1['Pass_end_x'] = pd.to_numeric(df1.Pass_end_x, errors='coerce')\n",
    "df1['Pass_end_y'] = pd.to_numeric(df1.Pass_end_y, errors='coerce')\n",
    "# Now scale from 100x100 to 105x68\n",
    "\n",
    "\n",
    "df1['x'] = df1['x'] * 1.05\n",
    "df1['y'] = df1['y'] * 0.68\n",
    "df1['Pass_end_x'] = df1['Pass_end_x'] * 1.05\n",
    "df1['Pass_end_y'] = df1['Pass_end_y'] * 0.68\n",
    "\n",
    "# tracking flip y\n",
    "tracking['ball_y'] = 68 - tracking['ball_y']\n",
    "for num in range(1, 23):\n",
    "    tracking[f'player_{num}_y'] = 68 - tracking[f'player_{num}_y']\n",
    "\n",
    "# Features for events\n",
    "\n",
    "PITCH_LENGTH = 105\n",
    "PITCH_WIDTH = 68\n",
    "GOAL_X = PITCH_LENGTH\n",
    "GOAL_Y = PITCH_WIDTH / 2\n",
    "\n",
    "diff_x = GOAL_X - df1['x']\n",
    "diff_y = abs(GOAL_Y - df1['y'])\n",
    "df1['dist_to_opponent_goal'] = np.sqrt(diff_x ** 2 + diff_y ** 2)\n",
    "df1['angle_to_goal'] = np.divide(diff_x, diff_y, out=np.zeros_like(diff_x), where=(diff_y != 0))  # ??\n",
    "\n",
    "# For goaldifference; (matchinfo is created to get contestant_id)\n",
    "homeId = matchinfo['id'].iloc[0]\n",
    "awayId = matchinfo['id'].iloc[1]\n",
    "\n",
    "goaldiff_df = pd.DataFrame(None)\n",
    "goaldiff_df['typeId'] = df1['typeId']\n",
    "goaldiff_df['contestantId'] = df1['contestantId']\n",
    "goaldiff_df['is_home_goal'] = np.where((goaldiff_df['typeId'] != 16) | (goaldiff_df['contestantId'] != homeId), 0, 1)\n",
    "goaldiff_df['is_away_goal'] = np.where((goaldiff_df['typeId'] != 16) | (goaldiff_df['contestantId'] != awayId), 0, 1)\n",
    "goaldiff_df['Curr_home_goals'] = goaldiff_df['is_home_goal'].cumsum()\n",
    "goaldiff_df['Curr_away_goals'] = goaldiff_df['is_away_goal'].cumsum()\n",
    "goaldiff_df['Goal_difference_home'] = goaldiff_df['Curr_home_goals'] - goaldiff_df['Curr_away_goals']\n",
    "goaldiff_df['Goal_difference_away'] = goaldiff_df['Goal_difference_home'] * -1\n",
    "\n",
    "df1['Goal_difference_home'] = goaldiff_df['Goal_difference_home']\n",
    "df1['Goal_difference_away'] = df1['Goal_difference_home'] * -1\n",
    "\n",
    "tracking.to_csv(path + f'flat-tracking-{match_id}-25fps.csv', index=False)\n",
    "\n",
    "df1.to_csv(path + f'events-ma13-with-features-{match_id}.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "870abc27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "63.588650952823336\n",
      "14.820571446472632\n",
      "Player distance : 3.9946863096567924, ball distance: 4.207328367856258, x distance: 2.7778512396694213, y distance: 2.286045454545454\n"
     ]
    }
   ],
   "source": [
    "from inspect import FrameInfo\n",
    "from math import sqrt\n",
    "from statistics import mean\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "pd.set_option('display.max_columns', None)\n",
    "\n",
    "#opening files\n",
    "match_id='8pm2qt7pp2m2qgnzwrrg8no8a'\n",
    "path=r'C:\\Users\\fanni\\Documents\\Egyetem\\SzakmaiGyakorlat\\StartUp\\AdjacencyMatrix\\\\'\n",
    "tracking_fn=f'flat-tracking-{match_id}-25fps.csv'\n",
    "event_fn=f'events-ma13-with-features-{match_id}.csv'\n",
    "tracking_df = pd.read_csv(path+tracking_fn)\n",
    "event_df = pd.read_csv(path+event_fn)\n",
    "\n",
    "#helper functions for calculating disance between timestamps\n",
    "def distance_time(time_from, time_to):\n",
    "    return abs(time_to - time_from)\n",
    "def conv_milisec_to_sec(milliseconds):\n",
    "    return round((milliseconds)/1000)\n",
    "def conv_min_sec_to_sec(minute,second):\n",
    "    return (minute*60+second)\n",
    "#helper functions for calculating distance between positions\n",
    "def distance_pos(x_1,y_1,x_2,y_2):\n",
    "    return sqrt((x_2-x_1)**2+(y_2-y_1)**2)\n",
    "\n",
    "\n",
    "def get_player_pos(playerId,frame):\n",
    "    x=0\n",
    "    y=0\n",
    "    values =frame.values.tolist()\n",
    "    for elem in values:\n",
    "        i=values.index(elem)\n",
    "        if elem == playerId:\n",
    "            x=frame[i+2]\n",
    "            y=frame[i+3]\n",
    "    return x,y\n",
    "\n",
    "#calculate distance metric for an event and trackinf frame pair\n",
    "def calc_distance(event,frame,justTime):\n",
    "    if not justTime:\n",
    "        #calc time distance\n",
    "        ev_time = event['timeStamp']\n",
    "        fr_time = frame['timestamp']\n",
    "        time_dist = distance_time(ev_time,fr_time)\n",
    "        #calc positional distance\n",
    "        #   -ball\n",
    "        pos_distance_ball = distance_pos(event['x'],event['y'],frame['ball_x'],frame['ball_y'])\n",
    "        #   -player performing the event\n",
    "        player = event['playerTrackingId']\n",
    "        player_x,player_y = get_player_pos(player,frame)\n",
    "        pos_distance_player = distance_pos(event['x'],event['y'],player_x,player_y)\n",
    "        #return overall distance\n",
    "        dist=time_dist*0.33+pos_distance_ball*0.33+pos_distance_player*0.33\n",
    "    else:\n",
    "        #calc time distance\n",
    "        ev_time = event['timeStamp']\n",
    "        fr_time = frame['timestamp']\n",
    "        dist = distance_time(ev_time,fr_time)\n",
    "    return (dist)\n",
    "\n",
    "#evaluates the syncing - with the difference between tracking player position and event position\n",
    "def eval(event_df,tracking_df):\n",
    "    distances=[]\n",
    "    distances_ball=[]\n",
    "    distances_x=[]\n",
    "    distances_y=[]\n",
    "    for ev_i,event in event_df.iterrows():\n",
    "        frame = tracking_df.iloc[event['frame_id']]\n",
    "        player_x, player_y = get_player_pos(event['playerTrackingId'],frame)\n",
    "        distance = distance_pos(event['x'],event['y'],player_x,player_y)\n",
    "        distances_ball.append(distance_pos(event['x'],event['y'],frame['ball_x'],frame['ball_y']))\n",
    "        distances_x.append(abs(event['x']-player_x))\n",
    "        distances_y.append(abs(event['y']-player_y))\n",
    "        distances.append(distance)\n",
    "    return distances,distances_ball,distances_x,distances_y\n",
    "\n",
    "#match events until distance gets lower, stop when it doesn't\n",
    "def match_events(event_df,tracking_df,justTime):\n",
    "    frame_ids=[]\n",
    "    distances=[]\n",
    "    tr_i=0\n",
    "    for ev_i, ev_elem in event_df.iterrows():\n",
    "        min_dist=calc_distance(ev_elem,tracking_df.iloc[tr_i],justTime)\n",
    "        dist = calc_distance(ev_elem,tracking_df.iloc[tr_i+1],justTime)\n",
    "        while (dist<=min_dist):\n",
    "            tr_i+=1\n",
    "            min_dist=calc_distance(ev_elem,tracking_df.iloc[tr_i],justTime)\n",
    "            dist = calc_distance(ev_elem,tracking_df.iloc[tr_i+1],justTime)\n",
    "        frame_ids.append(tr_i)\n",
    "        distances.append(min_dist)\n",
    "    return frame_ids,distances\n",
    "\n",
    "#look at the next 1500 tracking records and choose the one with the smallest distance\n",
    "def match_events_2(event_df,tracking_df,justTime):\n",
    "    frame_ids=[]\n",
    "    distances=[]\n",
    "    tr_i=0\n",
    "    for ev_i, ev_elem in event_df.iterrows():\n",
    "        fr_dist=[]\n",
    "        end_i = min(len(tracking_df.index),tr_i+1500)\n",
    "        for i in range(tr_i,end_i):\n",
    "            fr_dist.append(calc_distance(ev_elem,tracking_df.iloc[i],justTime))    \n",
    "        min_dist=min(fr_dist)\n",
    "        tr_i=tr_i+fr_dist.index(min_dist)\n",
    "        frame_ids.append(tr_i)\n",
    "        distances.append(min_dist)\n",
    "    return frame_ids,distances\n",
    "\n",
    "def match_events_3(event_df,tracking_df):\n",
    "    frame_ids=[]\n",
    "    for ev_i, event in event_df.iterrows():\n",
    "        rounded_time = int(40* round(float(event['timeStamp'])/40))\n",
    "        fr_id_l = tracking_df.index[tracking_df['timestamp']==rounded_time].tolist()\n",
    "        if fr_id_l:\n",
    "            frame_ids.append(fr_id_l[0])\n",
    "        else:\n",
    "            print(\"error\")\n",
    "    return frame_ids\n",
    "\n",
    "\n",
    "#frame_ids,distances=match_events(event_df,tracking_df,True)\n",
    "#frame_ids2,distances2=match_events(event_df,tracking_df,False)\n",
    "frame_ids3=match_events_3(event_df,tracking_df)\n",
    "#frame_ids4,distances4=match_events_2(event_df,tracking_df,False)\n",
    "\n",
    "\n",
    "#event_df2=event_df.copy()\n",
    "event_df3=event_df.copy()\n",
    "#event_df4=event_df.copy()\n",
    "\n",
    "\n",
    "#event_df['frame_id']=frame_ids\n",
    "#event_df['distance']=distances\n",
    "#event_df2['frame_id']=frame_ids2\n",
    "#event_df2['distance']=distances2\n",
    "event_df3['frame_id']=frame_ids3\n",
    "#event_df4['frame_id']=frame_ids4\n",
    "#event_df4['distance']=distances4\n",
    "\n",
    "\n",
    "#dist,dist_b,dist_x,dist_y=eval(event_df,tracking_df)\n",
    "#dist2,dist_b2,dist_x2,dist_y2=eval(event_df2,tracking_df)\n",
    "dist3,dist_b3,dist_x3,dist_y3=eval(event_df3,tracking_df)\n",
    "event_df3['distance']=dist3\n",
    "print(event_df3['distance'].max())\n",
    "event_df3 = event_df3[event_df3['distance']<15]\n",
    "print(event_df3['distance'].max())\n",
    "\n",
    "#print(f\"Player distance : {dist}, ball distance: {dist_b}, x distance: {dist_x}, y distance: {dist_y}\")\n",
    "#print(f\"Player distance : {dist2}, ball distance: {dist_b2}, x distance: {dist_x2}, y distance: {dist_y2}\")\n",
    "print(f\"Player distance : {mean(dist3)}, ball distance: {mean(dist_b3)}, x distance: {mean(dist_x3)}, y distance: {mean(dist_y3)}\")\n",
    "tracking_df['frame_id'] = tracking_df.index\n",
    "\n",
    "tracking_w_events =pd.merge(tracking_df,event_df3,how='outer',on=['frame_id'],suffixes=('_tracking','_event'))\n",
    "tracking_w_events.to_csv(path+f'tracking_w_events_{match_id}.csv',index=False)\n",
    "#print(tracking_w_events.distance.mean())\n",
    "#print(mean(distances2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "927546ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.DataFrame(tracking_w_events)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f0dcd13e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 143044 entries, 0 to 143043\n",
      "Columns: 215 entries, timestamp to distance\n",
      "dtypes: float64(133), int64(69), object(13)\n",
      "memory usage: 235.7+ MB\n"
     ]
    }
   ],
   "source": [
    "tracking_w_events.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "506cb0b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>time_of_current_half</th>\n",
       "      <th>half_indicator</th>\n",
       "      <th>match_not_in_play</th>\n",
       "      <th>player_1_teamId</th>\n",
       "      <th>player_1_objectId</th>\n",
       "      <th>player_1_jerseyNum</th>\n",
       "      <th>player_1_x</th>\n",
       "      <th>player_1_y</th>\n",
       "      <th>player_2_teamId</th>\n",
       "      <th>player_2_objectId</th>\n",
       "      <th>player_2_jerseyNum</th>\n",
       "      <th>player_2_x</th>\n",
       "      <th>player_2_y</th>\n",
       "      <th>player_3_teamId</th>\n",
       "      <th>player_3_objectId</th>\n",
       "      <th>player_3_jerseyNum</th>\n",
       "      <th>player_3_x</th>\n",
       "      <th>player_3_y</th>\n",
       "      <th>player_4_teamId</th>\n",
       "      <th>player_4_objectId</th>\n",
       "      <th>player_4_jerseyNum</th>\n",
       "      <th>player_4_x</th>\n",
       "      <th>player_4_y</th>\n",
       "      <th>player_5_teamId</th>\n",
       "      <th>player_5_objectId</th>\n",
       "      <th>player_5_jerseyNum</th>\n",
       "      <th>player_5_x</th>\n",
       "      <th>player_5_y</th>\n",
       "      <th>player_6_teamId</th>\n",
       "      <th>player_6_objectId</th>\n",
       "      <th>player_6_jerseyNum</th>\n",
       "      <th>player_6_x</th>\n",
       "      <th>player_6_y</th>\n",
       "      <th>player_7_teamId</th>\n",
       "      <th>player_7_objectId</th>\n",
       "      <th>player_7_jerseyNum</th>\n",
       "      <th>player_7_x</th>\n",
       "      <th>player_7_y</th>\n",
       "      <th>player_8_teamId</th>\n",
       "      <th>player_8_objectId</th>\n",
       "      <th>player_8_jerseyNum</th>\n",
       "      <th>player_8_x</th>\n",
       "      <th>player_8_y</th>\n",
       "      <th>player_9_teamId</th>\n",
       "      <th>player_9_objectId</th>\n",
       "      <th>player_9_jerseyNum</th>\n",
       "      <th>player_9_x</th>\n",
       "      <th>player_9_y</th>\n",
       "      <th>player_10_teamId</th>\n",
       "      <th>player_10_objectId</th>\n",
       "      <th>player_10_jerseyNum</th>\n",
       "      <th>player_10_x</th>\n",
       "      <th>player_10_y</th>\n",
       "      <th>player_11_teamId</th>\n",
       "      <th>player_11_objectId</th>\n",
       "      <th>player_11_jerseyNum</th>\n",
       "      <th>player_11_x</th>\n",
       "      <th>player_11_y</th>\n",
       "      <th>player_12_teamId</th>\n",
       "      <th>player_12_objectId</th>\n",
       "      <th>player_12_jerseyNum</th>\n",
       "      <th>player_12_x</th>\n",
       "      <th>player_12_y</th>\n",
       "      <th>player_13_teamId</th>\n",
       "      <th>player_13_objectId</th>\n",
       "      <th>player_13_jerseyNum</th>\n",
       "      <th>player_13_x</th>\n",
       "      <th>player_13_y</th>\n",
       "      <th>player_14_teamId</th>\n",
       "      <th>player_14_objectId</th>\n",
       "      <th>player_14_jerseyNum</th>\n",
       "      <th>player_14_x</th>\n",
       "      <th>player_14_y</th>\n",
       "      <th>player_15_teamId</th>\n",
       "      <th>player_15_objectId</th>\n",
       "      <th>player_15_jerseyNum</th>\n",
       "      <th>player_15_x</th>\n",
       "      <th>player_15_y</th>\n",
       "      <th>player_16_teamId</th>\n",
       "      <th>player_16_objectId</th>\n",
       "      <th>player_16_jerseyNum</th>\n",
       "      <th>player_16_x</th>\n",
       "      <th>player_16_y</th>\n",
       "      <th>player_17_teamId</th>\n",
       "      <th>player_17_objectId</th>\n",
       "      <th>player_17_jerseyNum</th>\n",
       "      <th>player_17_x</th>\n",
       "      <th>player_17_y</th>\n",
       "      <th>player_18_teamId</th>\n",
       "      <th>player_18_objectId</th>\n",
       "      <th>player_18_jerseyNum</th>\n",
       "      <th>player_18_x</th>\n",
       "      <th>player_18_y</th>\n",
       "      <th>player_19_teamId</th>\n",
       "      <th>player_19_objectId</th>\n",
       "      <th>player_19_jerseyNum</th>\n",
       "      <th>player_19_x</th>\n",
       "      <th>player_19_y</th>\n",
       "      <th>player_20_teamId</th>\n",
       "      <th>player_20_objectId</th>\n",
       "      <th>player_20_jerseyNum</th>\n",
       "      <th>player_20_x</th>\n",
       "      <th>player_20_y</th>\n",
       "      <th>player_21_teamId</th>\n",
       "      <th>player_21_objectId</th>\n",
       "      <th>player_21_jerseyNum</th>\n",
       "      <th>player_21_x</th>\n",
       "      <th>player_21_y</th>\n",
       "      <th>player_22_teamId</th>\n",
       "      <th>player_22_objectId</th>\n",
       "      <th>player_22_jerseyNum</th>\n",
       "      <th>player_22_x</th>\n",
       "      <th>player_22_y</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>ball_z</th>\n",
       "      <th>timeMilliSec</th>\n",
       "      <th>frame_id</th>\n",
       "      <th>id</th>\n",
       "      <th>eventId</th>\n",
       "      <th>typeId</th>\n",
       "      <th>periodId</th>\n",
       "      <th>timeMin</th>\n",
       "      <th>timeSec</th>\n",
       "      <th>contestantId</th>\n",
       "      <th>outcome</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>lastModified</th>\n",
       "      <th>qualifier_0_id</th>\n",
       "      <th>qualifier_0_qualifierId</th>\n",
       "      <th>qualifier_0_value</th>\n",
       "      <th>qualifier_1_id</th>\n",
       "      <th>qualifier_1_qualifierId</th>\n",
       "      <th>qualifier_1_value</th>\n",
       "      <th>qualifier_2_id</th>\n",
       "      <th>qualifier_2_qualifierId</th>\n",
       "      <th>qualifier_2_value</th>\n",
       "      <th>qualifier_3_id</th>\n",
       "      <th>qualifier_3_qualifierId</th>\n",
       "      <th>qualifier_3_value</th>\n",
       "      <th>qualifier_4_id</th>\n",
       "      <th>qualifier_4_qualifierId</th>\n",
       "      <th>qualifier_4_value</th>\n",
       "      <th>qualifier_5_id</th>\n",
       "      <th>qualifier_5_qualifierId</th>\n",
       "      <th>qualifier_5_value</th>\n",
       "      <th>qualifier_6_id</th>\n",
       "      <th>qualifier_6_qualifierId</th>\n",
       "      <th>qualifier_6_value</th>\n",
       "      <th>qualifier_7_id</th>\n",
       "      <th>qualifier_7_qualifierId</th>\n",
       "      <th>qualifier_7_value</th>\n",
       "      <th>playerId</th>\n",
       "      <th>playerName</th>\n",
       "      <th>sequenceId</th>\n",
       "      <th>possessionId</th>\n",
       "      <th>qualifier_8_id</th>\n",
       "      <th>qualifier_8_qualifierId</th>\n",
       "      <th>qualifier_8_value</th>\n",
       "      <th>qualifier_9_id</th>\n",
       "      <th>qualifier_9_qualifierId</th>\n",
       "      <th>qualifier_10_id</th>\n",
       "      <th>qualifier_10_qualifierId</th>\n",
       "      <th>qualifier_11_id</th>\n",
       "      <th>qualifier_11_qualifierId</th>\n",
       "      <th>qualifier_12_id</th>\n",
       "      <th>qualifier_12_qualifierId</th>\n",
       "      <th>keyPass</th>\n",
       "      <th>qualifier_9_value</th>\n",
       "      <th>qualifier_10_value</th>\n",
       "      <th>qualifier_11_value</th>\n",
       "      <th>qualifier_13_id</th>\n",
       "      <th>qualifier_13_qualifierId</th>\n",
       "      <th>qualifier_13_value</th>\n",
       "      <th>qualifier_14_id</th>\n",
       "      <th>qualifier_14_qualifierId</th>\n",
       "      <th>qualifier_14_value</th>\n",
       "      <th>qualifier_15_id</th>\n",
       "      <th>qualifier_15_qualifierId</th>\n",
       "      <th>qualifier_12_value</th>\n",
       "      <th>qualifier_15_value</th>\n",
       "      <th>qualifier_16_id</th>\n",
       "      <th>qualifier_16_qualifierId</th>\n",
       "      <th>qualifier_17_id</th>\n",
       "      <th>qualifier_17_qualifierId</th>\n",
       "      <th>qualifier_17_value</th>\n",
       "      <th>qualifier_18_id</th>\n",
       "      <th>qualifier_18_qualifierId</th>\n",
       "      <th>qualifier_18_value</th>\n",
       "      <th>qualifier_19_id</th>\n",
       "      <th>qualifier_19_qualifierId</th>\n",
       "      <th>qualifier_16_value</th>\n",
       "      <th>qualifier_19_value</th>\n",
       "      <th>qualifier_20_id</th>\n",
       "      <th>qualifier_20_qualifierId</th>\n",
       "      <th>qualifier_20_value</th>\n",
       "      <th>qualifier_21_id</th>\n",
       "      <th>qualifier_21_qualifierId</th>\n",
       "      <th>assist</th>\n",
       "      <th>qualifier_21_value</th>\n",
       "      <th>qualifier_22_id</th>\n",
       "      <th>qualifier_22_qualifierId</th>\n",
       "      <th>playerTrackingId</th>\n",
       "      <th>to_sec</th>\n",
       "      <th>sec_remaining</th>\n",
       "      <th>Pass_end_x</th>\n",
       "      <th>Pass_end_y</th>\n",
       "      <th>dist_to_opponent_goal</th>\n",
       "      <th>angle_to_goal</th>\n",
       "      <th>Goal_difference_home</th>\n",
       "      <th>Goal_difference_away</th>\n",
       "      <th>distance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>52.61</td>\n",
       "      <td>37.47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.285535e+09</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2b57rbw94i9ohnbch52owvqtq</td>\n",
       "      <td>1.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1.618170e+12</td>\n",
       "      <td>2021-04-12T06:41:52Z</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Back</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>35.2</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>141.0</td>\n",
       "      <td>53.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>212.0</td>\n",
       "      <td>15.7</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>213.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>279.0</td>\n",
       "      <td>S</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0.00002164</td>\n",
       "      <td>2.861894e+09</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1d2fpmtdglpqwyhnc657n77it</td>\n",
       "      <td>A. Hjulsager</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>743228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2703.0</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>52.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.887905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>52.12</td>\n",
       "      <td>37.55</td>\n",
       "      <td>0.071</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1618170300080</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>51.62</td>\n",
       "      <td>37.63</td>\n",
       "      <td>0.126</td>\n",
       "      <td>80</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1618170300120</td>\n",
       "      <td>120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>51.12</td>\n",
       "      <td>37.71</td>\n",
       "      <td>0.165</td>\n",
       "      <td>120</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1618170300160</td>\n",
       "      <td>160</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>50.63</td>\n",
       "      <td>37.79</td>\n",
       "      <td>0.188</td>\n",
       "      <td>160</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1618170300200</td>\n",
       "      <td>200</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.790</td>\n",
       "      <td>37.081</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.306</td>\n",
       "      <td>58.862</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.516</td>\n",
       "      <td>34.362</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.732</td>\n",
       "      <td>33.666</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.722</td>\n",
       "      <td>50.763</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.234</td>\n",
       "      <td>47.415</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.532</td>\n",
       "      <td>13.520</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.493</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.578</td>\n",
       "      <td>25.981</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>73.044</td>\n",
       "      <td>25.916</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.924</td>\n",
       "      <td>23.596</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.474</td>\n",
       "      <td>23.479</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.942</td>\n",
       "      <td>36.238</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.224</td>\n",
       "      <td>30.298</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.231</td>\n",
       "      <td>53.570</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>40.897</td>\n",
       "      <td>38.800</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.438</td>\n",
       "      <td>49.561</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.315</td>\n",
       "      <td>66.040</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.559</td>\n",
       "      <td>4.450</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.322</td>\n",
       "      <td>42.392</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.567</td>\n",
       "      <td>35.757</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.533</td>\n",
       "      <td>36.214</td>\n",
       "      <td>50.13</td>\n",
       "      <td>37.87</td>\n",
       "      <td>0.196</td>\n",
       "      <td>200</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1618170300240</td>\n",
       "      <td>240</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.816</td>\n",
       "      <td>37.093</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.354</td>\n",
       "      <td>58.845</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.537</td>\n",
       "      <td>34.452</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.634</td>\n",
       "      <td>33.626</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.731</td>\n",
       "      <td>50.786</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.239</td>\n",
       "      <td>47.437</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.593</td>\n",
       "      <td>13.520</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.494</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.503</td>\n",
       "      <td>26.006</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>73.088</td>\n",
       "      <td>25.903</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.929</td>\n",
       "      <td>23.553</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.526</td>\n",
       "      <td>23.508</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>53.007</td>\n",
       "      <td>36.308</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.243</td>\n",
       "      <td>30.344</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.438</td>\n",
       "      <td>53.622</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>40.797</td>\n",
       "      <td>38.846</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.500</td>\n",
       "      <td>49.616</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.376</td>\n",
       "      <td>66.099</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.662</td>\n",
       "      <td>4.424</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.356</td>\n",
       "      <td>42.353</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.530</td>\n",
       "      <td>35.770</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.566</td>\n",
       "      <td>36.229</td>\n",
       "      <td>49.64</td>\n",
       "      <td>37.95</td>\n",
       "      <td>0.188</td>\n",
       "      <td>240</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1618170300280</td>\n",
       "      <td>280</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.843</td>\n",
       "      <td>37.106</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.401</td>\n",
       "      <td>58.828</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.556</td>\n",
       "      <td>34.540</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.537</td>\n",
       "      <td>33.584</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.741</td>\n",
       "      <td>50.809</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.244</td>\n",
       "      <td>47.458</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.653</td>\n",
       "      <td>13.520</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.178</td>\n",
       "      <td>45.497</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.428</td>\n",
       "      <td>26.023</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>73.131</td>\n",
       "      <td>25.889</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.935</td>\n",
       "      <td>23.493</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.579</td>\n",
       "      <td>23.530</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>53.074</td>\n",
       "      <td>36.378</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.263</td>\n",
       "      <td>30.388</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.646</td>\n",
       "      <td>53.670</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>40.712</td>\n",
       "      <td>38.887</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.561</td>\n",
       "      <td>49.671</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.439</td>\n",
       "      <td>66.152</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.767</td>\n",
       "      <td>4.397</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.392</td>\n",
       "      <td>42.317</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.493</td>\n",
       "      <td>35.783</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.607</td>\n",
       "      <td>36.231</td>\n",
       "      <td>49.14</td>\n",
       "      <td>38.03</td>\n",
       "      <td>0.165</td>\n",
       "      <td>280</td>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1618170300320</td>\n",
       "      <td>320</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.869</td>\n",
       "      <td>37.118</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.447</td>\n",
       "      <td>58.811</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.574</td>\n",
       "      <td>34.626</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.439</td>\n",
       "      <td>33.542</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.752</td>\n",
       "      <td>50.833</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.249</td>\n",
       "      <td>47.477</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.714</td>\n",
       "      <td>13.520</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.181</td>\n",
       "      <td>45.500</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.353</td>\n",
       "      <td>26.034</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>73.172</td>\n",
       "      <td>25.872</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.942</td>\n",
       "      <td>23.417</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.632</td>\n",
       "      <td>23.545</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>53.143</td>\n",
       "      <td>36.448</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.282</td>\n",
       "      <td>30.430</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.854</td>\n",
       "      <td>53.713</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>40.641</td>\n",
       "      <td>38.924</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.620</td>\n",
       "      <td>49.727</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.503</td>\n",
       "      <td>66.199</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.872</td>\n",
       "      <td>4.370</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.429</td>\n",
       "      <td>42.282</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.457</td>\n",
       "      <td>35.796</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.657</td>\n",
       "      <td>36.222</td>\n",
       "      <td>48.65</td>\n",
       "      <td>38.11</td>\n",
       "      <td>0.126</td>\n",
       "      <td>320</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1618170300360</td>\n",
       "      <td>360</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.894</td>\n",
       "      <td>37.130</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.493</td>\n",
       "      <td>58.793</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.591</td>\n",
       "      <td>34.708</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.341</td>\n",
       "      <td>33.497</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.764</td>\n",
       "      <td>50.859</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.255</td>\n",
       "      <td>47.495</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.776</td>\n",
       "      <td>13.519</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.185</td>\n",
       "      <td>45.505</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.278</td>\n",
       "      <td>26.039</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>73.211</td>\n",
       "      <td>25.854</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.950</td>\n",
       "      <td>23.326</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.686</td>\n",
       "      <td>23.554</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>53.214</td>\n",
       "      <td>36.517</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.302</td>\n",
       "      <td>30.471</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>55.063</td>\n",
       "      <td>53.750</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>40.582</td>\n",
       "      <td>38.957</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.677</td>\n",
       "      <td>49.784</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.568</td>\n",
       "      <td>66.240</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.979</td>\n",
       "      <td>4.342</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.468</td>\n",
       "      <td>42.250</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.420</td>\n",
       "      <td>35.808</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.715</td>\n",
       "      <td>36.203</td>\n",
       "      <td>48.15</td>\n",
       "      <td>38.19</td>\n",
       "      <td>0.071</td>\n",
       "      <td>360</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       timestamp  time_of_current_half  half_indicator  match_not_in_play  \\\n",
       "0  1618170300000                     0               1                  0   \n",
       "1  1618170300040                    40               1                  0   \n",
       "2  1618170300080                    80               1                  0   \n",
       "3  1618170300120                   120               1                  0   \n",
       "4  1618170300160                   160               1                  0   \n",
       "5  1618170300200                   200               1                  0   \n",
       "6  1618170300240                   240               1                  0   \n",
       "7  1618170300280                   280               1                  0   \n",
       "8  1618170300320                   320               1                  0   \n",
       "9  1618170300360                   360               1                  0   \n",
       "\n",
       "   player_1_teamId  player_1_objectId  player_1_jerseyNum  player_1_x  \\\n",
       "0                0             354626                   4      73.662   \n",
       "1                0             354626                   4      73.687   \n",
       "2                0             354626                   4      73.712   \n",
       "3                0             354626                   4      73.738   \n",
       "4                0             354626                   4      73.764   \n",
       "5                0             354626                   4      73.790   \n",
       "6                0             354626                   4      73.816   \n",
       "7                0             354626                   4      73.843   \n",
       "8                0             354626                   4      73.869   \n",
       "9                0             354626                   4      73.894   \n",
       "\n",
       "   player_1_y  player_2_teamId  player_2_objectId  player_2_jerseyNum  \\\n",
       "0      37.017                0             466925                   5   \n",
       "1      37.030                0             466925                   5   \n",
       "2      37.043                0             466925                   5   \n",
       "3      37.055                0             466925                   5   \n",
       "4      37.068                0             466925                   5   \n",
       "5      37.081                0             466925                   5   \n",
       "6      37.093                0             466925                   5   \n",
       "7      37.106                0             466925                   5   \n",
       "8      37.118                0             466925                   5   \n",
       "9      37.130                0             466925                   5   \n",
       "\n",
       "   player_2_x  player_2_y  player_3_teamId  player_3_objectId  \\\n",
       "0      71.057      58.949                0             536323   \n",
       "1      71.108      58.932                0             536323   \n",
       "2      71.159      58.914                0             536323   \n",
       "3      71.208      58.897                0             536323   \n",
       "4      71.258      58.880                0             536323   \n",
       "5      71.306      58.862                0             536323   \n",
       "6      71.354      58.845                0             536323   \n",
       "7      71.401      58.828                0             536323   \n",
       "8      71.447      58.811                0             536323   \n",
       "9      71.493      58.793                0             536323   \n",
       "\n",
       "   player_3_jerseyNum  player_3_x  player_3_y  player_4_teamId  \\\n",
       "0                  16      64.404      33.888                0   \n",
       "1                  16      64.428      33.985                0   \n",
       "2                  16      64.451      34.082                0   \n",
       "3                  16      64.473      34.177                0   \n",
       "4                  16      64.495      34.270                0   \n",
       "5                  16      64.516      34.362                0   \n",
       "6                  16      64.537      34.452                0   \n",
       "7                  16      64.556      34.540                0   \n",
       "8                  16      64.574      34.626                0   \n",
       "9                  16      64.591      34.708                0   \n",
       "\n",
       "   player_4_objectId  player_4_jerseyNum  player_4_x  player_4_y  \\\n",
       "0             554722                   8      64.224      33.844   \n",
       "1             554722                   8      64.125      33.811   \n",
       "2             554722                   8      64.027      33.776   \n",
       "3             554722                   8      63.928      33.741   \n",
       "4             554722                   8      63.830      33.704   \n",
       "5             554722                   8      63.732      33.666   \n",
       "6             554722                   8      63.634      33.626   \n",
       "7             554722                   8      63.537      33.584   \n",
       "8             554722                   8      63.439      33.542   \n",
       "9             554722                   8      63.341      33.497   \n",
       "\n",
       "   player_5_teamId  player_5_objectId  player_5_jerseyNum  player_5_x  \\\n",
       "0                0             593009                  92      57.683   \n",
       "1                0             593009                  92      57.690   \n",
       "2                0             593009                  92      57.698   \n",
       "3                0             593009                  92      57.705   \n",
       "4                0             593009                  92      57.713   \n",
       "5                0             593009                  92      57.722   \n",
       "6                0             593009                  92      57.731   \n",
       "7                0             593009                  92      57.741   \n",
       "8                0             593009                  92      57.752   \n",
       "9                0             593009                  92      57.764   \n",
       "\n",
       "   player_5_y  player_6_teamId  player_6_objectId  player_6_jerseyNum  \\\n",
       "0      50.663                0             606682                  18   \n",
       "1      50.682                0             606682                  18   \n",
       "2      50.701                0             606682                  18   \n",
       "3      50.721                0             606682                  18   \n",
       "4      50.742                0             606682                  18   \n",
       "5      50.763                0             606682                  18   \n",
       "6      50.786                0             606682                  18   \n",
       "7      50.809                0             606682                  18   \n",
       "8      50.833                0             606682                  18   \n",
       "9      50.859                0             606682                  18   \n",
       "\n",
       "   player_6_x  player_6_y  player_7_teamId  player_7_objectId  \\\n",
       "0      66.209      47.268                0             789193   \n",
       "1      66.214      47.303                0             789193   \n",
       "2      66.219      47.335                0             789193   \n",
       "3      66.224      47.364                0             789193   \n",
       "4      66.229      47.391                0             789193   \n",
       "5      66.234      47.415                0             789193   \n",
       "6      66.239      47.437                0             789193   \n",
       "7      66.244      47.458                0             789193   \n",
       "8      66.249      47.477                0             789193   \n",
       "9      66.255      47.495                0             789193   \n",
       "\n",
       "   player_7_jerseyNum  player_7_x  player_7_y  player_8_teamId  \\\n",
       "0                  15      62.236      13.515                0   \n",
       "1                  15      62.295      13.516                0   \n",
       "2                  15      62.354      13.517                0   \n",
       "3                  15      62.413      13.518                0   \n",
       "4                  15      62.472      13.519                0   \n",
       "5                  15      62.532      13.520                0   \n",
       "6                  15      62.593      13.520                0   \n",
       "7                  15      62.653      13.520                0   \n",
       "8                  15      62.714      13.520                0   \n",
       "9                  15      62.776      13.519                0   \n",
       "\n",
       "   player_8_objectId  player_8_jerseyNum  player_8_x  player_8_y  \\\n",
       "0             968671                  55      78.175      45.493   \n",
       "1             968671                  55      78.174      45.492   \n",
       "2             968671                  55      78.173      45.491   \n",
       "3             968671                  55      78.173      45.491   \n",
       "4             968671                  55      78.173      45.491   \n",
       "5             968671                  55      78.174      45.493   \n",
       "6             968671                  55      78.175      45.494   \n",
       "7             968671                  55      78.178      45.497   \n",
       "8             968671                  55      78.181      45.500   \n",
       "9             968671                  55      78.185      45.505   \n",
       "\n",
       "   player_9_teamId  player_9_objectId  player_9_jerseyNum  player_9_x  \\\n",
       "0                0            1102488                   7      53.960   \n",
       "1                0            1102488                   7      53.882   \n",
       "2                0            1102488                   7      53.806   \n",
       "3                0            1102488                   7      53.729   \n",
       "4                0            1102488                   7      53.654   \n",
       "5                0            1102488                   7      53.578   \n",
       "6                0            1102488                   7      53.503   \n",
       "7                0            1102488                   7      53.428   \n",
       "8                0            1102488                   7      53.353   \n",
       "9                0            1102488                   7      53.278   \n",
       "\n",
       "   player_9_y  player_10_teamId  player_10_objectId  player_10_jerseyNum  \\\n",
       "0      25.734                 0             1108110                    2   \n",
       "1      25.801                 0             1108110                    2   \n",
       "2      25.859                 0             1108110                    2   \n",
       "3      25.908                 0             1108110                    2   \n",
       "4      25.949                 0             1108110                    2   \n",
       "5      25.981                 0             1108110                    2   \n",
       "6      26.006                 0             1108110                    2   \n",
       "7      26.023                 0             1108110                    2   \n",
       "8      26.034                 0             1108110                    2   \n",
       "9      26.039                 0             1108110                    2   \n",
       "\n",
       "   player_10_x  player_10_y  player_11_teamId  player_11_objectId  \\\n",
       "0       72.800       25.964                 1              356560   \n",
       "1       72.851       25.956                 1              356560   \n",
       "2       72.901       25.948                 1              356560   \n",
       "3       72.950       25.938                 1              356560   \n",
       "4       72.998       25.928                 1              356560   \n",
       "5       73.044       25.916                 1              356560   \n",
       "6       73.088       25.903                 1              356560   \n",
       "7       73.131       25.889                 1              356560   \n",
       "8       73.172       25.872                 1              356560   \n",
       "9       73.211       25.854                 1              356560   \n",
       "\n",
       "   player_11_jerseyNum  player_11_x  player_11_y  player_12_teamId  \\\n",
       "0                   27       40.913       23.519                 1   \n",
       "1                   27       40.913       23.575                 1   \n",
       "2                   27       40.914       23.610                 1   \n",
       "3                   27       40.916       23.625                 1   \n",
       "4                   27       40.919       23.620                 1   \n",
       "5                   27       40.924       23.596                 1   \n",
       "6                   27       40.929       23.553                 1   \n",
       "7                   27       40.935       23.493                 1   \n",
       "8                   27       40.942       23.417                 1   \n",
       "9                   27       40.950       23.326                 1   \n",
       "\n",
       "   player_12_objectId  player_12_jerseyNum  player_12_x  player_12_y  \\\n",
       "0              733561                   26       51.211       23.229   \n",
       "1              733561                   26       51.264       23.294   \n",
       "2              733561                   26       51.317       23.351   \n",
       "3              733561                   26       51.369       23.401   \n",
       "4              733561                   26       51.422       23.444   \n",
       "5              733561                   26       51.474       23.479   \n",
       "6              733561                   26       51.526       23.508   \n",
       "7              733561                   26       51.579       23.530   \n",
       "8              733561                   26       51.632       23.545   \n",
       "9              733561                   26       51.686       23.554   \n",
       "\n",
       "   player_13_teamId  player_13_objectId  player_13_jerseyNum  player_13_x  \\\n",
       "0                 1              743228                   17       52.636   \n",
       "1                 1              743228                   17       52.695   \n",
       "2                 1              743228                   17       52.755   \n",
       "3                 1              743228                   17       52.816   \n",
       "4                 1              743228                   17       52.879   \n",
       "5                 1              743228                   17       52.942   \n",
       "6                 1              743228                   17       53.007   \n",
       "7                 1              743228                   17       53.074   \n",
       "8                 1              743228                   17       53.143   \n",
       "9                 1              743228                   17       53.214   \n",
       "\n",
       "   player_13_y  player_14_teamId  player_14_objectId  player_14_jerseyNum  \\\n",
       "0       35.883                 1              752504                    6   \n",
       "1       35.954                 1              752504                    6   \n",
       "2       36.026                 1              752504                    6   \n",
       "3       36.097                 1              752504                    6   \n",
       "4       36.167                 1              752504                    6   \n",
       "5       36.238                 1              752504                    6   \n",
       "6       36.308                 1              752504                    6   \n",
       "7       36.378                 1              752504                    6   \n",
       "8       36.448                 1              752504                    6   \n",
       "9       36.517                 1              752504                    6   \n",
       "\n",
       "   player_14_x  player_14_y  player_15_teamId  player_15_objectId  \\\n",
       "0       46.126       30.051                 1              794887   \n",
       "1       46.146       30.102                 1              794887   \n",
       "2       46.165       30.153                 1              794887   \n",
       "3       46.185       30.202                 1              794887   \n",
       "4       46.204       30.251                 1              794887   \n",
       "5       46.224       30.298                 1              794887   \n",
       "6       46.243       30.344                 1              794887   \n",
       "7       46.263       30.388                 1              794887   \n",
       "8       46.282       30.430                 1              794887   \n",
       "9       46.302       30.471                 1              794887   \n",
       "\n",
       "   player_15_jerseyNum  player_15_x  player_15_y  player_16_teamId  \\\n",
       "0                   21       53.199       53.248                 1   \n",
       "1                   21       53.405       53.319                 1   \n",
       "2                   21       53.611       53.387                 1   \n",
       "3                   21       53.817       53.452                 1   \n",
       "4                   21       54.024       53.513                 1   \n",
       "5                   21       54.231       53.570                 1   \n",
       "6                   21       54.438       53.622                 1   \n",
       "7                   21       54.646       53.670                 1   \n",
       "8                   21       54.854       53.713                 1   \n",
       "9                   21       55.063       53.750                 1   \n",
       "\n",
       "   player_16_objectId  player_16_jerseyNum  player_16_x  player_16_y  \\\n",
       "0              871279                    4       41.628       38.497   \n",
       "1              871279                    4       41.450       38.568   \n",
       "2              871279                    4       41.287       38.634   \n",
       "3              871279                    4       41.141       38.694   \n",
       "4              871279                    4       41.011       38.750   \n",
       "5              871279                    4       40.897       38.800   \n",
       "6              871279                    4       40.797       38.846   \n",
       "7              871279                    4       40.712       38.887   \n",
       "8              871279                    4       40.641       38.924   \n",
       "9              871279                    4       40.582       38.957   \n",
       "\n",
       "   player_17_teamId  player_17_objectId  player_17_jerseyNum  player_17_x  \\\n",
       "0                 1              973617                    5       43.109   \n",
       "1                 1              973617                    5       43.177   \n",
       "2                 1              973617                    5       43.244   \n",
       "3                 1              973617                    5       43.310   \n",
       "4                 1              973617                    5       43.375   \n",
       "5                 1              973617                    5       43.438   \n",
       "6                 1              973617                    5       43.500   \n",
       "7                 1              973617                    5       43.561   \n",
       "8                 1              973617                    5       43.620   \n",
       "9                 1              973617                    5       43.677   \n",
       "\n",
       "   player_17_y  player_18_teamId  player_18_objectId  player_18_jerseyNum  \\\n",
       "0       49.299                 1             1061319                   29   \n",
       "1       49.351                 1             1061319                   29   \n",
       "2       49.402                 1             1061319                   29   \n",
       "3       49.455                 1             1061319                   29   \n",
       "4       49.507                 1             1061319                   29   \n",
       "5       49.561                 1             1061319                   29   \n",
       "6       49.616                 1             1061319                   29   \n",
       "7       49.671                 1             1061319                   29   \n",
       "8       49.727                 1             1061319                   29   \n",
       "9       49.784                 1             1061319                   29   \n",
       "\n",
       "   player_18_x  player_18_y  player_19_teamId  player_19_objectId  \\\n",
       "0       50.017       65.675                 1             1061321   \n",
       "1       50.075       65.756                 1             1061321   \n",
       "2       50.134       65.834                 1             1061321   \n",
       "3       50.194       65.907                 1             1061321   \n",
       "4       50.254       65.976                 1             1061321   \n",
       "5       50.315       66.040                 1             1061321   \n",
       "6       50.376       66.099                 1             1061321   \n",
       "7       50.439       66.152                 1             1061321   \n",
       "8       50.503       66.199                 1             1061321   \n",
       "9       50.568       66.240                 1             1061321   \n",
       "\n",
       "   player_19_jerseyNum  player_19_x  player_19_y  player_20_teamId  \\\n",
       "0                   25       53.052        4.563                 1   \n",
       "1                   25       53.152        4.543                 1   \n",
       "2                   25       53.253        4.521                 1   \n",
       "3                   25       53.354        4.499                 1   \n",
       "4                   25       53.456        4.475                 1   \n",
       "5                   25       53.559        4.450                 1   \n",
       "6                   25       53.662        4.424                 1   \n",
       "7                   25       53.767        4.397                 1   \n",
       "8                   25       53.872        4.370                 1   \n",
       "9                   25       53.979        4.342                 1   \n",
       "\n",
       "   player_20_objectId  player_20_jerseyNum  player_20_x  player_20_y  \\\n",
       "0             1107910                   34       52.170       42.621   \n",
       "1             1107910                   34       52.198       42.571   \n",
       "2             1107910                   34       52.227       42.523   \n",
       "3             1107910                   34       52.257       42.477   \n",
       "4             1107910                   34       52.289       42.433   \n",
       "5             1107910                   34       52.322       42.392   \n",
       "6             1107910                   34       52.356       42.353   \n",
       "7             1107910                   34       52.392       42.317   \n",
       "8             1107910                   34       52.429       42.282   \n",
       "9             1107910                   34       52.468       42.250   \n",
       "\n",
       "   player_21_teamId  player_21_objectId  player_21_jerseyNum  player_21_x  \\\n",
       "0                 3              465460                   31       99.751   \n",
       "1                 3              465460                   31       99.714   \n",
       "2                 3              465460                   31       99.677   \n",
       "3                 3              465460                   31       99.640   \n",
       "4                 3              465460                   31       99.603   \n",
       "5                 3              465460                   31       99.567   \n",
       "6                 3              465460                   31       99.530   \n",
       "7                 3              465460                   31       99.493   \n",
       "8                 3              465460                   31       99.457   \n",
       "9                 3              465460                   31       99.420   \n",
       "\n",
       "   player_21_y  player_22_teamId  player_22_objectId  player_22_jerseyNum  \\\n",
       "0       35.691               4.0            606868.0                 28.0   \n",
       "1       35.704               4.0            606868.0                 28.0   \n",
       "2       35.717               4.0            606868.0                 28.0   \n",
       "3       35.730               4.0            606868.0                 28.0   \n",
       "4       35.744               4.0            606868.0                 28.0   \n",
       "5       35.757               4.0            606868.0                 28.0   \n",
       "6       35.770               4.0            606868.0                 28.0   \n",
       "7       35.783               4.0            606868.0                 28.0   \n",
       "8       35.796               4.0            606868.0                 28.0   \n",
       "9       35.808               4.0            606868.0                 28.0   \n",
       "\n",
       "   player_22_x  player_22_y  ball_x  ball_y  ball_z  timeMilliSec  frame_id  \\\n",
       "0        3.522       35.925   52.61   37.47   0.000             0         0   \n",
       "1        3.502       36.013   52.12   37.55   0.071            40         1   \n",
       "2        3.494       36.086   51.62   37.63   0.126            80         2   \n",
       "3        3.497       36.143   51.12   37.71   0.165           120         3   \n",
       "4        3.510       36.186   50.63   37.79   0.188           160         4   \n",
       "5        3.533       36.214   50.13   37.87   0.196           200         5   \n",
       "6        3.566       36.229   49.64   37.95   0.188           240         6   \n",
       "7        3.607       36.231   49.14   38.03   0.165           280         7   \n",
       "8        3.657       36.222   48.65   38.11   0.126           320         8   \n",
       "9        3.715       36.203   48.15   38.19   0.071           360         9   \n",
       "\n",
       "             id  eventId  typeId  periodId  timeMin  timeSec  \\\n",
       "0  2.285535e+09      3.0     1.0       1.0      0.0      0.0   \n",
       "1           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "2           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "3           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "4           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "5           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "6           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "7           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "8           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "9           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "\n",
       "                contestantId  outcome     x     y     timeStamp  \\\n",
       "0  2b57rbw94i9ohnbch52owvqtq      1.0  52.5  34.0  1.618170e+12   \n",
       "1                        NaN      NaN   NaN   NaN           NaN   \n",
       "2                        NaN      NaN   NaN   NaN           NaN   \n",
       "3                        NaN      NaN   NaN   NaN           NaN   \n",
       "4                        NaN      NaN   NaN   NaN           NaN   \n",
       "5                        NaN      NaN   NaN   NaN           NaN   \n",
       "6                        NaN      NaN   NaN   NaN           NaN   \n",
       "7                        NaN      NaN   NaN   NaN           NaN   \n",
       "8                        NaN      NaN   NaN   NaN           NaN   \n",
       "9                        NaN      NaN   NaN   NaN           NaN   \n",
       "\n",
       "           lastModified  qualifier_0_id  qualifier_0_qualifierId  \\\n",
       "0  2021-04-12T06:41:52Z    2.861039e+09                     56.0   \n",
       "1                   NaN             NaN                      NaN   \n",
       "2                   NaN             NaN                      NaN   \n",
       "3                   NaN             NaN                      NaN   \n",
       "4                   NaN             NaN                      NaN   \n",
       "5                   NaN             NaN                      NaN   \n",
       "6                   NaN             NaN                      NaN   \n",
       "7                   NaN             NaN                      NaN   \n",
       "8                   NaN             NaN                      NaN   \n",
       "9                   NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_0_value  qualifier_1_id  qualifier_1_qualifierId  \\\n",
       "0              Back    2.861039e+09                    140.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_1_value  qualifier_2_id  qualifier_2_qualifierId  \\\n",
       "0              35.2    2.861039e+09                    141.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_2_value  qualifier_3_id  qualifier_3_qualifierId  \\\n",
       "0              53.4    2.861039e+09                    212.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_3_value  qualifier_4_id  qualifier_4_qualifierId  \\\n",
       "0              15.7    2.861039e+09                    213.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_4_value  qualifier_5_id  qualifier_5_qualifierId  \\\n",
       "0               3.0    2.861039e+09                    279.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_5_value  qualifier_6_id  qualifier_6_qualifierId  \\\n",
       "0                 S    2.861039e+09                    318.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_6_value  qualifier_7_id  qualifier_7_qualifierId  \\\n",
       "0        0.00002164    2.861894e+09                    178.0   \n",
       "1               NaN             NaN                      NaN   \n",
       "2               NaN             NaN                      NaN   \n",
       "3               NaN             NaN                      NaN   \n",
       "4               NaN             NaN                      NaN   \n",
       "5               NaN             NaN                      NaN   \n",
       "6               NaN             NaN                      NaN   \n",
       "7               NaN             NaN                      NaN   \n",
       "8               NaN             NaN                      NaN   \n",
       "9               NaN             NaN                      NaN   \n",
       "\n",
       "  qualifier_7_value                   playerId    playerName  sequenceId  \\\n",
       "0               NaN  1d2fpmtdglpqwyhnc657n77it  A. Hjulsager         1.0   \n",
       "1               NaN                        NaN           NaN         NaN   \n",
       "2               NaN                        NaN           NaN         NaN   \n",
       "3               NaN                        NaN           NaN         NaN   \n",
       "4               NaN                        NaN           NaN         NaN   \n",
       "5               NaN                        NaN           NaN         NaN   \n",
       "6               NaN                        NaN           NaN         NaN   \n",
       "7               NaN                        NaN           NaN         NaN   \n",
       "8               NaN                        NaN           NaN         NaN   \n",
       "9               NaN                        NaN           NaN         NaN   \n",
       "\n",
       "   possessionId  qualifier_8_id  qualifier_8_qualifierId qualifier_8_value  \\\n",
       "0           1.0             NaN                      NaN               NaN   \n",
       "1           NaN             NaN                      NaN               NaN   \n",
       "2           NaN             NaN                      NaN               NaN   \n",
       "3           NaN             NaN                      NaN               NaN   \n",
       "4           NaN             NaN                      NaN               NaN   \n",
       "5           NaN             NaN                      NaN               NaN   \n",
       "6           NaN             NaN                      NaN               NaN   \n",
       "7           NaN             NaN                      NaN               NaN   \n",
       "8           NaN             NaN                      NaN               NaN   \n",
       "9           NaN             NaN                      NaN               NaN   \n",
       "\n",
       "   qualifier_9_id  qualifier_9_qualifierId  qualifier_10_id  \\\n",
       "0             NaN                      NaN              NaN   \n",
       "1             NaN                      NaN              NaN   \n",
       "2             NaN                      NaN              NaN   \n",
       "3             NaN                      NaN              NaN   \n",
       "4             NaN                      NaN              NaN   \n",
       "5             NaN                      NaN              NaN   \n",
       "6             NaN                      NaN              NaN   \n",
       "7             NaN                      NaN              NaN   \n",
       "8             NaN                      NaN              NaN   \n",
       "9             NaN                      NaN              NaN   \n",
       "\n",
       "   qualifier_10_qualifierId  qualifier_11_id  qualifier_11_qualifierId  \\\n",
       "0                       NaN              NaN                       NaN   \n",
       "1                       NaN              NaN                       NaN   \n",
       "2                       NaN              NaN                       NaN   \n",
       "3                       NaN              NaN                       NaN   \n",
       "4                       NaN              NaN                       NaN   \n",
       "5                       NaN              NaN                       NaN   \n",
       "6                       NaN              NaN                       NaN   \n",
       "7                       NaN              NaN                       NaN   \n",
       "8                       NaN              NaN                       NaN   \n",
       "9                       NaN              NaN                       NaN   \n",
       "\n",
       "   qualifier_12_id  qualifier_12_qualifierId  keyPass  qualifier_9_value  \\\n",
       "0              NaN                       NaN      NaN                NaN   \n",
       "1              NaN                       NaN      NaN                NaN   \n",
       "2              NaN                       NaN      NaN                NaN   \n",
       "3              NaN                       NaN      NaN                NaN   \n",
       "4              NaN                       NaN      NaN                NaN   \n",
       "5              NaN                       NaN      NaN                NaN   \n",
       "6              NaN                       NaN      NaN                NaN   \n",
       "7              NaN                       NaN      NaN                NaN   \n",
       "8              NaN                       NaN      NaN                NaN   \n",
       "9              NaN                       NaN      NaN                NaN   \n",
       "\n",
       "   qualifier_10_value  qualifier_11_value  qualifier_13_id  \\\n",
       "0                 NaN                 NaN              NaN   \n",
       "1                 NaN                 NaN              NaN   \n",
       "2                 NaN                 NaN              NaN   \n",
       "3                 NaN                 NaN              NaN   \n",
       "4                 NaN                 NaN              NaN   \n",
       "5                 NaN                 NaN              NaN   \n",
       "6                 NaN                 NaN              NaN   \n",
       "7                 NaN                 NaN              NaN   \n",
       "8                 NaN                 NaN              NaN   \n",
       "9                 NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_13_qualifierId  qualifier_13_value  qualifier_14_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "1                       NaN                 NaN              NaN   \n",
       "2                       NaN                 NaN              NaN   \n",
       "3                       NaN                 NaN              NaN   \n",
       "4                       NaN                 NaN              NaN   \n",
       "5                       NaN                 NaN              NaN   \n",
       "6                       NaN                 NaN              NaN   \n",
       "7                       NaN                 NaN              NaN   \n",
       "8                       NaN                 NaN              NaN   \n",
       "9                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_14_qualifierId  qualifier_14_value  qualifier_15_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "1                       NaN                 NaN              NaN   \n",
       "2                       NaN                 NaN              NaN   \n",
       "3                       NaN                 NaN              NaN   \n",
       "4                       NaN                 NaN              NaN   \n",
       "5                       NaN                 NaN              NaN   \n",
       "6                       NaN                 NaN              NaN   \n",
       "7                       NaN                 NaN              NaN   \n",
       "8                       NaN                 NaN              NaN   \n",
       "9                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_15_qualifierId  qualifier_12_value  qualifier_15_value  \\\n",
       "0                       NaN                 NaN                 NaN   \n",
       "1                       NaN                 NaN                 NaN   \n",
       "2                       NaN                 NaN                 NaN   \n",
       "3                       NaN                 NaN                 NaN   \n",
       "4                       NaN                 NaN                 NaN   \n",
       "5                       NaN                 NaN                 NaN   \n",
       "6                       NaN                 NaN                 NaN   \n",
       "7                       NaN                 NaN                 NaN   \n",
       "8                       NaN                 NaN                 NaN   \n",
       "9                       NaN                 NaN                 NaN   \n",
       "\n",
       "   qualifier_16_id  qualifier_16_qualifierId  qualifier_17_id  \\\n",
       "0              NaN                       NaN              NaN   \n",
       "1              NaN                       NaN              NaN   \n",
       "2              NaN                       NaN              NaN   \n",
       "3              NaN                       NaN              NaN   \n",
       "4              NaN                       NaN              NaN   \n",
       "5              NaN                       NaN              NaN   \n",
       "6              NaN                       NaN              NaN   \n",
       "7              NaN                       NaN              NaN   \n",
       "8              NaN                       NaN              NaN   \n",
       "9              NaN                       NaN              NaN   \n",
       "\n",
       "   qualifier_17_qualifierId  qualifier_17_value  qualifier_18_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "1                       NaN                 NaN              NaN   \n",
       "2                       NaN                 NaN              NaN   \n",
       "3                       NaN                 NaN              NaN   \n",
       "4                       NaN                 NaN              NaN   \n",
       "5                       NaN                 NaN              NaN   \n",
       "6                       NaN                 NaN              NaN   \n",
       "7                       NaN                 NaN              NaN   \n",
       "8                       NaN                 NaN              NaN   \n",
       "9                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_18_qualifierId  qualifier_18_value  qualifier_19_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "1                       NaN                 NaN              NaN   \n",
       "2                       NaN                 NaN              NaN   \n",
       "3                       NaN                 NaN              NaN   \n",
       "4                       NaN                 NaN              NaN   \n",
       "5                       NaN                 NaN              NaN   \n",
       "6                       NaN                 NaN              NaN   \n",
       "7                       NaN                 NaN              NaN   \n",
       "8                       NaN                 NaN              NaN   \n",
       "9                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_19_qualifierId  qualifier_16_value  qualifier_19_value  \\\n",
       "0                       NaN                 NaN                 NaN   \n",
       "1                       NaN                 NaN                 NaN   \n",
       "2                       NaN                 NaN                 NaN   \n",
       "3                       NaN                 NaN                 NaN   \n",
       "4                       NaN                 NaN                 NaN   \n",
       "5                       NaN                 NaN                 NaN   \n",
       "6                       NaN                 NaN                 NaN   \n",
       "7                       NaN                 NaN                 NaN   \n",
       "8                       NaN                 NaN                 NaN   \n",
       "9                       NaN                 NaN                 NaN   \n",
       "\n",
       "   qualifier_20_id  qualifier_20_qualifierId  qualifier_20_value  \\\n",
       "0              NaN                       NaN                 NaN   \n",
       "1              NaN                       NaN                 NaN   \n",
       "2              NaN                       NaN                 NaN   \n",
       "3              NaN                       NaN                 NaN   \n",
       "4              NaN                       NaN                 NaN   \n",
       "5              NaN                       NaN                 NaN   \n",
       "6              NaN                       NaN                 NaN   \n",
       "7              NaN                       NaN                 NaN   \n",
       "8              NaN                       NaN                 NaN   \n",
       "9              NaN                       NaN                 NaN   \n",
       "\n",
       "   qualifier_21_id  qualifier_21_qualifierId  assist  qualifier_21_value  \\\n",
       "0              NaN                       NaN     NaN                 NaN   \n",
       "1              NaN                       NaN     NaN                 NaN   \n",
       "2              NaN                       NaN     NaN                 NaN   \n",
       "3              NaN                       NaN     NaN                 NaN   \n",
       "4              NaN                       NaN     NaN                 NaN   \n",
       "5              NaN                       NaN     NaN                 NaN   \n",
       "6              NaN                       NaN     NaN                 NaN   \n",
       "7              NaN                       NaN     NaN                 NaN   \n",
       "8              NaN                       NaN     NaN                 NaN   \n",
       "9              NaN                       NaN     NaN                 NaN   \n",
       "\n",
       "   qualifier_22_id  qualifier_22_qualifierId  playerTrackingId  to_sec  \\\n",
       "0              NaN                       NaN          743228.0     0.0   \n",
       "1              NaN                       NaN               NaN     NaN   \n",
       "2              NaN                       NaN               NaN     NaN   \n",
       "3              NaN                       NaN               NaN     NaN   \n",
       "4              NaN                       NaN               NaN     NaN   \n",
       "5              NaN                       NaN               NaN     NaN   \n",
       "6              NaN                       NaN               NaN     NaN   \n",
       "7              NaN                       NaN               NaN     NaN   \n",
       "8              NaN                       NaN               NaN     NaN   \n",
       "9              NaN                       NaN               NaN     NaN   \n",
       "\n",
       "   sec_remaining  Pass_end_x  Pass_end_y  dist_to_opponent_goal  \\\n",
       "0         2703.0       36.96      36.312                   52.5   \n",
       "1            NaN         NaN         NaN                    NaN   \n",
       "2            NaN         NaN         NaN                    NaN   \n",
       "3            NaN         NaN         NaN                    NaN   \n",
       "4            NaN         NaN         NaN                    NaN   \n",
       "5            NaN         NaN         NaN                    NaN   \n",
       "6            NaN         NaN         NaN                    NaN   \n",
       "7            NaN         NaN         NaN                    NaN   \n",
       "8            NaN         NaN         NaN                    NaN   \n",
       "9            NaN         NaN         NaN                    NaN   \n",
       "\n",
       "   angle_to_goal  Goal_difference_home  Goal_difference_away  distance  \n",
       "0            0.0                   0.0                   0.0  1.887905  \n",
       "1            NaN                   NaN                   NaN       NaN  \n",
       "2            NaN                   NaN                   NaN       NaN  \n",
       "3            NaN                   NaN                   NaN       NaN  \n",
       "4            NaN                   NaN                   NaN       NaN  \n",
       "5            NaN                   NaN                   NaN       NaN  \n",
       "6            NaN                   NaN                   NaN       NaN  \n",
       "7            NaN                   NaN                   NaN       NaN  \n",
       "8            NaN                   NaN                   NaN       NaN  \n",
       "9            NaN                   NaN                   NaN       NaN  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "70501423",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True     0.993198\n",
       "False    0.006802\n",
       "Name: Pass_end_x, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['Pass_end_x'].isna().value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2c5ab25e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True     0.993198\n",
       "False    0.006802\n",
       "Name: Pass_end_y, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['Pass_end_y'].isna().value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "defbdc94",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pr = df1[['timestamp', 'Pass_end_x', 'Pass_end_y', 'player_1_x', 'player_1_y', 'player_2_x', 'player_2_y', 'player_3_x', 'player_3_y', 'player_4_x', 'player_4_y', 'player_5_x', 'player_5_y', 'player_6_x', 'player_6_y', 'player_7_x', 'player_7_y', 'player_8_x', 'player_8_y', 'player_9_x', 'player_9_y', 'player_10_x', 'player_10_y', 'player_11_x', 'player_11_y', 'player_12_x', 'player_12_y', 'player_13_x', 'player_13_y', 'player_14_x', 'player_14_y', 'player_15_x', 'player_15_y', 'player_16_x', 'player_16_y', 'player_17_x', 'player_17_y', 'player_18_x', 'player_18_y', 'player_19_x', 'player_19_y', 'player_20_x', 'player_20_y', 'player_21_x', 'player_21_y', 'player_22_x', 'player_22_y']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "60ae135d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-11-645237c2e62a>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_pr['Pass_end_x'] = df_pr['Pass_end_x'].fillna(0.0)\n",
      "<ipython-input-11-645237c2e62a>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_pr['Pass_end_y'] = df_pr['Pass_end_y'].fillna(0.0)\n"
     ]
    }
   ],
   "source": [
    "df_pr['Pass_end_x'] = df_pr['Pass_end_x'].fillna(0.0)\n",
    "df_pr['Pass_end_y'] = df_pr['Pass_end_y'].fillna(0.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e3bc427d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>Pass_end_x</th>\n",
       "      <th>Pass_end_y</th>\n",
       "      <th>player_1_x</th>\n",
       "      <th>player_1_y</th>\n",
       "      <th>player_2_x</th>\n",
       "      <th>player_2_y</th>\n",
       "      <th>player_3_x</th>\n",
       "      <th>player_3_y</th>\n",
       "      <th>player_4_x</th>\n",
       "      <th>player_4_y</th>\n",
       "      <th>player_5_x</th>\n",
       "      <th>player_5_y</th>\n",
       "      <th>player_6_x</th>\n",
       "      <th>player_6_y</th>\n",
       "      <th>player_7_x</th>\n",
       "      <th>player_7_y</th>\n",
       "      <th>player_8_x</th>\n",
       "      <th>player_8_y</th>\n",
       "      <th>player_9_x</th>\n",
       "      <th>player_9_y</th>\n",
       "      <th>player_10_x</th>\n",
       "      <th>player_10_y</th>\n",
       "      <th>player_11_x</th>\n",
       "      <th>player_11_y</th>\n",
       "      <th>player_12_x</th>\n",
       "      <th>player_12_y</th>\n",
       "      <th>player_13_x</th>\n",
       "      <th>player_13_y</th>\n",
       "      <th>player_14_x</th>\n",
       "      <th>player_14_y</th>\n",
       "      <th>player_15_x</th>\n",
       "      <th>player_15_y</th>\n",
       "      <th>player_16_x</th>\n",
       "      <th>player_16_y</th>\n",
       "      <th>player_17_x</th>\n",
       "      <th>player_17_y</th>\n",
       "      <th>player_18_x</th>\n",
       "      <th>player_18_y</th>\n",
       "      <th>player_19_x</th>\n",
       "      <th>player_19_y</th>\n",
       "      <th>player_20_x</th>\n",
       "      <th>player_20_y</th>\n",
       "      <th>player_21_x</th>\n",
       "      <th>player_21_y</th>\n",
       "      <th>player_22_x</th>\n",
       "      <th>player_22_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1618170300080</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1618170300120</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1618170300160</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1618170300200</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.790</td>\n",
       "      <td>37.081</td>\n",
       "      <td>71.306</td>\n",
       "      <td>58.862</td>\n",
       "      <td>64.516</td>\n",
       "      <td>34.362</td>\n",
       "      <td>63.732</td>\n",
       "      <td>33.666</td>\n",
       "      <td>57.722</td>\n",
       "      <td>50.763</td>\n",
       "      <td>66.234</td>\n",
       "      <td>47.415</td>\n",
       "      <td>62.532</td>\n",
       "      <td>13.520</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.578</td>\n",
       "      <td>25.981</td>\n",
       "      <td>73.044</td>\n",
       "      <td>25.916</td>\n",
       "      <td>40.924</td>\n",
       "      <td>23.596</td>\n",
       "      <td>51.474</td>\n",
       "      <td>23.479</td>\n",
       "      <td>52.942</td>\n",
       "      <td>36.238</td>\n",
       "      <td>46.224</td>\n",
       "      <td>30.298</td>\n",
       "      <td>54.231</td>\n",
       "      <td>53.570</td>\n",
       "      <td>40.897</td>\n",
       "      <td>38.800</td>\n",
       "      <td>43.438</td>\n",
       "      <td>49.561</td>\n",
       "      <td>50.315</td>\n",
       "      <td>66.040</td>\n",
       "      <td>53.559</td>\n",
       "      <td>4.450</td>\n",
       "      <td>52.322</td>\n",
       "      <td>42.392</td>\n",
       "      <td>99.567</td>\n",
       "      <td>35.757</td>\n",
       "      <td>3.533</td>\n",
       "      <td>36.214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1618170300240</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.816</td>\n",
       "      <td>37.093</td>\n",
       "      <td>71.354</td>\n",
       "      <td>58.845</td>\n",
       "      <td>64.537</td>\n",
       "      <td>34.452</td>\n",
       "      <td>63.634</td>\n",
       "      <td>33.626</td>\n",
       "      <td>57.731</td>\n",
       "      <td>50.786</td>\n",
       "      <td>66.239</td>\n",
       "      <td>47.437</td>\n",
       "      <td>62.593</td>\n",
       "      <td>13.520</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.494</td>\n",
       "      <td>53.503</td>\n",
       "      <td>26.006</td>\n",
       "      <td>73.088</td>\n",
       "      <td>25.903</td>\n",
       "      <td>40.929</td>\n",
       "      <td>23.553</td>\n",
       "      <td>51.526</td>\n",
       "      <td>23.508</td>\n",
       "      <td>53.007</td>\n",
       "      <td>36.308</td>\n",
       "      <td>46.243</td>\n",
       "      <td>30.344</td>\n",
       "      <td>54.438</td>\n",
       "      <td>53.622</td>\n",
       "      <td>40.797</td>\n",
       "      <td>38.846</td>\n",
       "      <td>43.500</td>\n",
       "      <td>49.616</td>\n",
       "      <td>50.376</td>\n",
       "      <td>66.099</td>\n",
       "      <td>53.662</td>\n",
       "      <td>4.424</td>\n",
       "      <td>52.356</td>\n",
       "      <td>42.353</td>\n",
       "      <td>99.530</td>\n",
       "      <td>35.770</td>\n",
       "      <td>3.566</td>\n",
       "      <td>36.229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1618170300280</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.843</td>\n",
       "      <td>37.106</td>\n",
       "      <td>71.401</td>\n",
       "      <td>58.828</td>\n",
       "      <td>64.556</td>\n",
       "      <td>34.540</td>\n",
       "      <td>63.537</td>\n",
       "      <td>33.584</td>\n",
       "      <td>57.741</td>\n",
       "      <td>50.809</td>\n",
       "      <td>66.244</td>\n",
       "      <td>47.458</td>\n",
       "      <td>62.653</td>\n",
       "      <td>13.520</td>\n",
       "      <td>78.178</td>\n",
       "      <td>45.497</td>\n",
       "      <td>53.428</td>\n",
       "      <td>26.023</td>\n",
       "      <td>73.131</td>\n",
       "      <td>25.889</td>\n",
       "      <td>40.935</td>\n",
       "      <td>23.493</td>\n",
       "      <td>51.579</td>\n",
       "      <td>23.530</td>\n",
       "      <td>53.074</td>\n",
       "      <td>36.378</td>\n",
       "      <td>46.263</td>\n",
       "      <td>30.388</td>\n",
       "      <td>54.646</td>\n",
       "      <td>53.670</td>\n",
       "      <td>40.712</td>\n",
       "      <td>38.887</td>\n",
       "      <td>43.561</td>\n",
       "      <td>49.671</td>\n",
       "      <td>50.439</td>\n",
       "      <td>66.152</td>\n",
       "      <td>53.767</td>\n",
       "      <td>4.397</td>\n",
       "      <td>52.392</td>\n",
       "      <td>42.317</td>\n",
       "      <td>99.493</td>\n",
       "      <td>35.783</td>\n",
       "      <td>3.607</td>\n",
       "      <td>36.231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1618170300320</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.869</td>\n",
       "      <td>37.118</td>\n",
       "      <td>71.447</td>\n",
       "      <td>58.811</td>\n",
       "      <td>64.574</td>\n",
       "      <td>34.626</td>\n",
       "      <td>63.439</td>\n",
       "      <td>33.542</td>\n",
       "      <td>57.752</td>\n",
       "      <td>50.833</td>\n",
       "      <td>66.249</td>\n",
       "      <td>47.477</td>\n",
       "      <td>62.714</td>\n",
       "      <td>13.520</td>\n",
       "      <td>78.181</td>\n",
       "      <td>45.500</td>\n",
       "      <td>53.353</td>\n",
       "      <td>26.034</td>\n",
       "      <td>73.172</td>\n",
       "      <td>25.872</td>\n",
       "      <td>40.942</td>\n",
       "      <td>23.417</td>\n",
       "      <td>51.632</td>\n",
       "      <td>23.545</td>\n",
       "      <td>53.143</td>\n",
       "      <td>36.448</td>\n",
       "      <td>46.282</td>\n",
       "      <td>30.430</td>\n",
       "      <td>54.854</td>\n",
       "      <td>53.713</td>\n",
       "      <td>40.641</td>\n",
       "      <td>38.924</td>\n",
       "      <td>43.620</td>\n",
       "      <td>49.727</td>\n",
       "      <td>50.503</td>\n",
       "      <td>66.199</td>\n",
       "      <td>53.872</td>\n",
       "      <td>4.370</td>\n",
       "      <td>52.429</td>\n",
       "      <td>42.282</td>\n",
       "      <td>99.457</td>\n",
       "      <td>35.796</td>\n",
       "      <td>3.657</td>\n",
       "      <td>36.222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1618170300360</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.894</td>\n",
       "      <td>37.130</td>\n",
       "      <td>71.493</td>\n",
       "      <td>58.793</td>\n",
       "      <td>64.591</td>\n",
       "      <td>34.708</td>\n",
       "      <td>63.341</td>\n",
       "      <td>33.497</td>\n",
       "      <td>57.764</td>\n",
       "      <td>50.859</td>\n",
       "      <td>66.255</td>\n",
       "      <td>47.495</td>\n",
       "      <td>62.776</td>\n",
       "      <td>13.519</td>\n",
       "      <td>78.185</td>\n",
       "      <td>45.505</td>\n",
       "      <td>53.278</td>\n",
       "      <td>26.039</td>\n",
       "      <td>73.211</td>\n",
       "      <td>25.854</td>\n",
       "      <td>40.950</td>\n",
       "      <td>23.326</td>\n",
       "      <td>51.686</td>\n",
       "      <td>23.554</td>\n",
       "      <td>53.214</td>\n",
       "      <td>36.517</td>\n",
       "      <td>46.302</td>\n",
       "      <td>30.471</td>\n",
       "      <td>55.063</td>\n",
       "      <td>53.750</td>\n",
       "      <td>40.582</td>\n",
       "      <td>38.957</td>\n",
       "      <td>43.677</td>\n",
       "      <td>49.784</td>\n",
       "      <td>50.568</td>\n",
       "      <td>66.240</td>\n",
       "      <td>53.979</td>\n",
       "      <td>4.342</td>\n",
       "      <td>52.468</td>\n",
       "      <td>42.250</td>\n",
       "      <td>99.420</td>\n",
       "      <td>35.808</td>\n",
       "      <td>3.715</td>\n",
       "      <td>36.203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1618170300400</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.919</td>\n",
       "      <td>37.141</td>\n",
       "      <td>71.538</td>\n",
       "      <td>58.775</td>\n",
       "      <td>64.606</td>\n",
       "      <td>34.789</td>\n",
       "      <td>63.244</td>\n",
       "      <td>33.452</td>\n",
       "      <td>57.777</td>\n",
       "      <td>50.886</td>\n",
       "      <td>66.262</td>\n",
       "      <td>47.513</td>\n",
       "      <td>62.838</td>\n",
       "      <td>13.518</td>\n",
       "      <td>78.190</td>\n",
       "      <td>45.510</td>\n",
       "      <td>53.203</td>\n",
       "      <td>26.040</td>\n",
       "      <td>73.248</td>\n",
       "      <td>25.834</td>\n",
       "      <td>40.959</td>\n",
       "      <td>23.220</td>\n",
       "      <td>51.740</td>\n",
       "      <td>23.557</td>\n",
       "      <td>53.288</td>\n",
       "      <td>36.586</td>\n",
       "      <td>46.321</td>\n",
       "      <td>30.510</td>\n",
       "      <td>55.273</td>\n",
       "      <td>53.783</td>\n",
       "      <td>40.536</td>\n",
       "      <td>38.986</td>\n",
       "      <td>43.733</td>\n",
       "      <td>49.843</td>\n",
       "      <td>50.634</td>\n",
       "      <td>66.274</td>\n",
       "      <td>54.086</td>\n",
       "      <td>4.313</td>\n",
       "      <td>52.509</td>\n",
       "      <td>42.220</td>\n",
       "      <td>99.383</td>\n",
       "      <td>35.821</td>\n",
       "      <td>3.780</td>\n",
       "      <td>36.173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1618170300440</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.944</td>\n",
       "      <td>37.152</td>\n",
       "      <td>71.583</td>\n",
       "      <td>58.757</td>\n",
       "      <td>64.620</td>\n",
       "      <td>34.865</td>\n",
       "      <td>63.146</td>\n",
       "      <td>33.404</td>\n",
       "      <td>57.791</td>\n",
       "      <td>50.914</td>\n",
       "      <td>66.269</td>\n",
       "      <td>47.531</td>\n",
       "      <td>62.901</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.196</td>\n",
       "      <td>45.517</td>\n",
       "      <td>53.127</td>\n",
       "      <td>26.036</td>\n",
       "      <td>73.283</td>\n",
       "      <td>25.811</td>\n",
       "      <td>40.969</td>\n",
       "      <td>23.102</td>\n",
       "      <td>51.796</td>\n",
       "      <td>23.554</td>\n",
       "      <td>53.364</td>\n",
       "      <td>36.654</td>\n",
       "      <td>46.341</td>\n",
       "      <td>30.546</td>\n",
       "      <td>55.484</td>\n",
       "      <td>53.811</td>\n",
       "      <td>40.501</td>\n",
       "      <td>39.012</td>\n",
       "      <td>43.787</td>\n",
       "      <td>49.902</td>\n",
       "      <td>50.701</td>\n",
       "      <td>66.302</td>\n",
       "      <td>54.195</td>\n",
       "      <td>4.284</td>\n",
       "      <td>52.551</td>\n",
       "      <td>42.192</td>\n",
       "      <td>99.345</td>\n",
       "      <td>35.832</td>\n",
       "      <td>3.850</td>\n",
       "      <td>36.136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1618170300480</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.967</td>\n",
       "      <td>37.163</td>\n",
       "      <td>71.627</td>\n",
       "      <td>58.739</td>\n",
       "      <td>64.632</td>\n",
       "      <td>34.939</td>\n",
       "      <td>63.048</td>\n",
       "      <td>33.356</td>\n",
       "      <td>57.807</td>\n",
       "      <td>50.943</td>\n",
       "      <td>66.278</td>\n",
       "      <td>47.549</td>\n",
       "      <td>62.965</td>\n",
       "      <td>13.514</td>\n",
       "      <td>78.203</td>\n",
       "      <td>45.524</td>\n",
       "      <td>53.051</td>\n",
       "      <td>26.030</td>\n",
       "      <td>73.316</td>\n",
       "      <td>25.787</td>\n",
       "      <td>40.979</td>\n",
       "      <td>22.972</td>\n",
       "      <td>51.853</td>\n",
       "      <td>23.545</td>\n",
       "      <td>53.443</td>\n",
       "      <td>36.722</td>\n",
       "      <td>46.361</td>\n",
       "      <td>30.581</td>\n",
       "      <td>55.695</td>\n",
       "      <td>53.833</td>\n",
       "      <td>40.476</td>\n",
       "      <td>39.034</td>\n",
       "      <td>43.839</td>\n",
       "      <td>49.963</td>\n",
       "      <td>50.769</td>\n",
       "      <td>66.324</td>\n",
       "      <td>54.306</td>\n",
       "      <td>4.255</td>\n",
       "      <td>52.595</td>\n",
       "      <td>42.166</td>\n",
       "      <td>99.308</td>\n",
       "      <td>35.844</td>\n",
       "      <td>3.927</td>\n",
       "      <td>36.091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1618170300520</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.990</td>\n",
       "      <td>37.173</td>\n",
       "      <td>71.670</td>\n",
       "      <td>58.719</td>\n",
       "      <td>64.643</td>\n",
       "      <td>35.009</td>\n",
       "      <td>62.949</td>\n",
       "      <td>33.306</td>\n",
       "      <td>57.825</td>\n",
       "      <td>50.975</td>\n",
       "      <td>66.287</td>\n",
       "      <td>47.568</td>\n",
       "      <td>63.029</td>\n",
       "      <td>13.510</td>\n",
       "      <td>78.212</td>\n",
       "      <td>45.533</td>\n",
       "      <td>52.974</td>\n",
       "      <td>26.021</td>\n",
       "      <td>73.346</td>\n",
       "      <td>25.759</td>\n",
       "      <td>40.990</td>\n",
       "      <td>22.832</td>\n",
       "      <td>51.912</td>\n",
       "      <td>23.531</td>\n",
       "      <td>53.525</td>\n",
       "      <td>36.788</td>\n",
       "      <td>46.380</td>\n",
       "      <td>30.613</td>\n",
       "      <td>55.908</td>\n",
       "      <td>53.851</td>\n",
       "      <td>40.461</td>\n",
       "      <td>39.053</td>\n",
       "      <td>43.889</td>\n",
       "      <td>50.025</td>\n",
       "      <td>50.839</td>\n",
       "      <td>66.338</td>\n",
       "      <td>54.417</td>\n",
       "      <td>4.226</td>\n",
       "      <td>52.640</td>\n",
       "      <td>42.142</td>\n",
       "      <td>99.269</td>\n",
       "      <td>35.854</td>\n",
       "      <td>4.008</td>\n",
       "      <td>36.040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1618170300560</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>74.011</td>\n",
       "      <td>37.182</td>\n",
       "      <td>71.713</td>\n",
       "      <td>58.700</td>\n",
       "      <td>64.652</td>\n",
       "      <td>35.075</td>\n",
       "      <td>62.851</td>\n",
       "      <td>33.254</td>\n",
       "      <td>57.845</td>\n",
       "      <td>51.007</td>\n",
       "      <td>66.299</td>\n",
       "      <td>47.588</td>\n",
       "      <td>63.094</td>\n",
       "      <td>13.506</td>\n",
       "      <td>78.222</td>\n",
       "      <td>45.543</td>\n",
       "      <td>52.896</td>\n",
       "      <td>26.012</td>\n",
       "      <td>73.374</td>\n",
       "      <td>25.730</td>\n",
       "      <td>41.001</td>\n",
       "      <td>22.683</td>\n",
       "      <td>51.973</td>\n",
       "      <td>23.512</td>\n",
       "      <td>53.610</td>\n",
       "      <td>36.855</td>\n",
       "      <td>46.400</td>\n",
       "      <td>30.643</td>\n",
       "      <td>56.122</td>\n",
       "      <td>53.863</td>\n",
       "      <td>40.455</td>\n",
       "      <td>39.070</td>\n",
       "      <td>43.936</td>\n",
       "      <td>50.087</td>\n",
       "      <td>50.910</td>\n",
       "      <td>66.346</td>\n",
       "      <td>54.530</td>\n",
       "      <td>4.197</td>\n",
       "      <td>52.687</td>\n",
       "      <td>42.120</td>\n",
       "      <td>99.230</td>\n",
       "      <td>35.864</td>\n",
       "      <td>4.093</td>\n",
       "      <td>35.984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1618170300600</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>74.031</td>\n",
       "      <td>37.190</td>\n",
       "      <td>71.754</td>\n",
       "      <td>58.679</td>\n",
       "      <td>64.659</td>\n",
       "      <td>35.137</td>\n",
       "      <td>62.752</td>\n",
       "      <td>33.202</td>\n",
       "      <td>57.866</td>\n",
       "      <td>51.042</td>\n",
       "      <td>66.312</td>\n",
       "      <td>47.610</td>\n",
       "      <td>63.160</td>\n",
       "      <td>13.501</td>\n",
       "      <td>78.233</td>\n",
       "      <td>45.554</td>\n",
       "      <td>52.818</td>\n",
       "      <td>26.003</td>\n",
       "      <td>73.399</td>\n",
       "      <td>25.697</td>\n",
       "      <td>41.013</td>\n",
       "      <td>22.526</td>\n",
       "      <td>52.036</td>\n",
       "      <td>23.489</td>\n",
       "      <td>53.699</td>\n",
       "      <td>36.920</td>\n",
       "      <td>46.421</td>\n",
       "      <td>30.670</td>\n",
       "      <td>56.337</td>\n",
       "      <td>53.870</td>\n",
       "      <td>40.455</td>\n",
       "      <td>39.084</td>\n",
       "      <td>43.982</td>\n",
       "      <td>50.151</td>\n",
       "      <td>50.983</td>\n",
       "      <td>66.347</td>\n",
       "      <td>54.645</td>\n",
       "      <td>4.169</td>\n",
       "      <td>52.737</td>\n",
       "      <td>42.100</td>\n",
       "      <td>99.191</td>\n",
       "      <td>35.873</td>\n",
       "      <td>4.181</td>\n",
       "      <td>35.924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1618170300640</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>74.049</td>\n",
       "      <td>37.198</td>\n",
       "      <td>71.796</td>\n",
       "      <td>58.658</td>\n",
       "      <td>64.664</td>\n",
       "      <td>35.194</td>\n",
       "      <td>62.653</td>\n",
       "      <td>33.149</td>\n",
       "      <td>57.890</td>\n",
       "      <td>51.078</td>\n",
       "      <td>66.326</td>\n",
       "      <td>47.633</td>\n",
       "      <td>63.228</td>\n",
       "      <td>13.495</td>\n",
       "      <td>78.246</td>\n",
       "      <td>45.567</td>\n",
       "      <td>52.738</td>\n",
       "      <td>25.994</td>\n",
       "      <td>73.422</td>\n",
       "      <td>25.662</td>\n",
       "      <td>41.026</td>\n",
       "      <td>22.364</td>\n",
       "      <td>52.101</td>\n",
       "      <td>23.462</td>\n",
       "      <td>53.790</td>\n",
       "      <td>36.984</td>\n",
       "      <td>46.441</td>\n",
       "      <td>30.695</td>\n",
       "      <td>56.554</td>\n",
       "      <td>53.873</td>\n",
       "      <td>40.463</td>\n",
       "      <td>39.095</td>\n",
       "      <td>44.027</td>\n",
       "      <td>50.216</td>\n",
       "      <td>51.058</td>\n",
       "      <td>66.342</td>\n",
       "      <td>54.761</td>\n",
       "      <td>4.140</td>\n",
       "      <td>52.788</td>\n",
       "      <td>42.081</td>\n",
       "      <td>99.150</td>\n",
       "      <td>35.881</td>\n",
       "      <td>4.271</td>\n",
       "      <td>35.861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1618170300680</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>74.065</td>\n",
       "      <td>37.204</td>\n",
       "      <td>71.836</td>\n",
       "      <td>58.636</td>\n",
       "      <td>64.668</td>\n",
       "      <td>35.248</td>\n",
       "      <td>62.554</td>\n",
       "      <td>33.095</td>\n",
       "      <td>57.917</td>\n",
       "      <td>51.116</td>\n",
       "      <td>66.343</td>\n",
       "      <td>47.659</td>\n",
       "      <td>63.296</td>\n",
       "      <td>13.488</td>\n",
       "      <td>78.260</td>\n",
       "      <td>45.580</td>\n",
       "      <td>52.657</td>\n",
       "      <td>25.988</td>\n",
       "      <td>73.443</td>\n",
       "      <td>25.625</td>\n",
       "      <td>41.039</td>\n",
       "      <td>22.197</td>\n",
       "      <td>52.169</td>\n",
       "      <td>23.432</td>\n",
       "      <td>53.885</td>\n",
       "      <td>37.048</td>\n",
       "      <td>46.461</td>\n",
       "      <td>30.718</td>\n",
       "      <td>56.773</td>\n",
       "      <td>53.872</td>\n",
       "      <td>40.476</td>\n",
       "      <td>39.105</td>\n",
       "      <td>44.069</td>\n",
       "      <td>50.282</td>\n",
       "      <td>51.134</td>\n",
       "      <td>66.331</td>\n",
       "      <td>54.878</td>\n",
       "      <td>4.112</td>\n",
       "      <td>52.841</td>\n",
       "      <td>42.064</td>\n",
       "      <td>99.109</td>\n",
       "      <td>35.888</td>\n",
       "      <td>4.364</td>\n",
       "      <td>35.796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1618170300720</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>74.080</td>\n",
       "      <td>37.209</td>\n",
       "      <td>71.876</td>\n",
       "      <td>58.613</td>\n",
       "      <td>64.669</td>\n",
       "      <td>35.297</td>\n",
       "      <td>62.454</td>\n",
       "      <td>33.040</td>\n",
       "      <td>57.946</td>\n",
       "      <td>51.157</td>\n",
       "      <td>66.362</td>\n",
       "      <td>47.688</td>\n",
       "      <td>63.365</td>\n",
       "      <td>13.480</td>\n",
       "      <td>78.276</td>\n",
       "      <td>45.595</td>\n",
       "      <td>52.575</td>\n",
       "      <td>25.985</td>\n",
       "      <td>73.461</td>\n",
       "      <td>25.585</td>\n",
       "      <td>41.052</td>\n",
       "      <td>22.026</td>\n",
       "      <td>52.240</td>\n",
       "      <td>23.400</td>\n",
       "      <td>53.984</td>\n",
       "      <td>37.110</td>\n",
       "      <td>46.482</td>\n",
       "      <td>30.738</td>\n",
       "      <td>56.994</td>\n",
       "      <td>53.867</td>\n",
       "      <td>40.493</td>\n",
       "      <td>39.113</td>\n",
       "      <td>44.109</td>\n",
       "      <td>50.349</td>\n",
       "      <td>51.212</td>\n",
       "      <td>66.313</td>\n",
       "      <td>54.997</td>\n",
       "      <td>4.085</td>\n",
       "      <td>52.895</td>\n",
       "      <td>42.048</td>\n",
       "      <td>99.066</td>\n",
       "      <td>35.893</td>\n",
       "      <td>4.457</td>\n",
       "      <td>35.731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1618170300760</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>74.092</td>\n",
       "      <td>37.214</td>\n",
       "      <td>71.916</td>\n",
       "      <td>58.589</td>\n",
       "      <td>64.667</td>\n",
       "      <td>35.341</td>\n",
       "      <td>62.354</td>\n",
       "      <td>32.986</td>\n",
       "      <td>57.978</td>\n",
       "      <td>51.199</td>\n",
       "      <td>66.384</td>\n",
       "      <td>47.720</td>\n",
       "      <td>63.435</td>\n",
       "      <td>13.470</td>\n",
       "      <td>78.294</td>\n",
       "      <td>45.612</td>\n",
       "      <td>52.492</td>\n",
       "      <td>25.986</td>\n",
       "      <td>73.477</td>\n",
       "      <td>25.542</td>\n",
       "      <td>41.067</td>\n",
       "      <td>21.852</td>\n",
       "      <td>52.315</td>\n",
       "      <td>23.364</td>\n",
       "      <td>54.086</td>\n",
       "      <td>37.171</td>\n",
       "      <td>46.503</td>\n",
       "      <td>30.756</td>\n",
       "      <td>57.217</td>\n",
       "      <td>53.858</td>\n",
       "      <td>40.515</td>\n",
       "      <td>39.119</td>\n",
       "      <td>44.147</td>\n",
       "      <td>50.417</td>\n",
       "      <td>51.291</td>\n",
       "      <td>66.290</td>\n",
       "      <td>55.117</td>\n",
       "      <td>4.058</td>\n",
       "      <td>52.952</td>\n",
       "      <td>42.034</td>\n",
       "      <td>99.022</td>\n",
       "      <td>35.897</td>\n",
       "      <td>4.551</td>\n",
       "      <td>35.665</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        timestamp  Pass_end_x  Pass_end_y  player_1_x  player_1_y  player_2_x  \\\n",
       "0   1618170300000       36.96      36.312      73.662      37.017      71.057   \n",
       "1   1618170300040        0.00       0.000      73.687      37.030      71.108   \n",
       "2   1618170300080        0.00       0.000      73.712      37.043      71.159   \n",
       "3   1618170300120        0.00       0.000      73.738      37.055      71.208   \n",
       "4   1618170300160        0.00       0.000      73.764      37.068      71.258   \n",
       "5   1618170300200        0.00       0.000      73.790      37.081      71.306   \n",
       "6   1618170300240        0.00       0.000      73.816      37.093      71.354   \n",
       "7   1618170300280        0.00       0.000      73.843      37.106      71.401   \n",
       "8   1618170300320        0.00       0.000      73.869      37.118      71.447   \n",
       "9   1618170300360        0.00       0.000      73.894      37.130      71.493   \n",
       "10  1618170300400        0.00       0.000      73.919      37.141      71.538   \n",
       "11  1618170300440        0.00       0.000      73.944      37.152      71.583   \n",
       "12  1618170300480        0.00       0.000      73.967      37.163      71.627   \n",
       "13  1618170300520        0.00       0.000      73.990      37.173      71.670   \n",
       "14  1618170300560        0.00       0.000      74.011      37.182      71.713   \n",
       "15  1618170300600        0.00       0.000      74.031      37.190      71.754   \n",
       "16  1618170300640        0.00       0.000      74.049      37.198      71.796   \n",
       "17  1618170300680        0.00       0.000      74.065      37.204      71.836   \n",
       "18  1618170300720        0.00       0.000      74.080      37.209      71.876   \n",
       "19  1618170300760        0.00       0.000      74.092      37.214      71.916   \n",
       "\n",
       "    player_2_y  player_3_x  player_3_y  player_4_x  player_4_y  player_5_x  \\\n",
       "0       58.949      64.404      33.888      64.224      33.844      57.683   \n",
       "1       58.932      64.428      33.985      64.125      33.811      57.690   \n",
       "2       58.914      64.451      34.082      64.027      33.776      57.698   \n",
       "3       58.897      64.473      34.177      63.928      33.741      57.705   \n",
       "4       58.880      64.495      34.270      63.830      33.704      57.713   \n",
       "5       58.862      64.516      34.362      63.732      33.666      57.722   \n",
       "6       58.845      64.537      34.452      63.634      33.626      57.731   \n",
       "7       58.828      64.556      34.540      63.537      33.584      57.741   \n",
       "8       58.811      64.574      34.626      63.439      33.542      57.752   \n",
       "9       58.793      64.591      34.708      63.341      33.497      57.764   \n",
       "10      58.775      64.606      34.789      63.244      33.452      57.777   \n",
       "11      58.757      64.620      34.865      63.146      33.404      57.791   \n",
       "12      58.739      64.632      34.939      63.048      33.356      57.807   \n",
       "13      58.719      64.643      35.009      62.949      33.306      57.825   \n",
       "14      58.700      64.652      35.075      62.851      33.254      57.845   \n",
       "15      58.679      64.659      35.137      62.752      33.202      57.866   \n",
       "16      58.658      64.664      35.194      62.653      33.149      57.890   \n",
       "17      58.636      64.668      35.248      62.554      33.095      57.917   \n",
       "18      58.613      64.669      35.297      62.454      33.040      57.946   \n",
       "19      58.589      64.667      35.341      62.354      32.986      57.978   \n",
       "\n",
       "    player_5_y  player_6_x  player_6_y  player_7_x  player_7_y  player_8_x  \\\n",
       "0       50.663      66.209      47.268      62.236      13.515      78.175   \n",
       "1       50.682      66.214      47.303      62.295      13.516      78.174   \n",
       "2       50.701      66.219      47.335      62.354      13.517      78.173   \n",
       "3       50.721      66.224      47.364      62.413      13.518      78.173   \n",
       "4       50.742      66.229      47.391      62.472      13.519      78.173   \n",
       "5       50.763      66.234      47.415      62.532      13.520      78.174   \n",
       "6       50.786      66.239      47.437      62.593      13.520      78.175   \n",
       "7       50.809      66.244      47.458      62.653      13.520      78.178   \n",
       "8       50.833      66.249      47.477      62.714      13.520      78.181   \n",
       "9       50.859      66.255      47.495      62.776      13.519      78.185   \n",
       "10      50.886      66.262      47.513      62.838      13.518      78.190   \n",
       "11      50.914      66.269      47.531      62.901      13.516      78.196   \n",
       "12      50.943      66.278      47.549      62.965      13.514      78.203   \n",
       "13      50.975      66.287      47.568      63.029      13.510      78.212   \n",
       "14      51.007      66.299      47.588      63.094      13.506      78.222   \n",
       "15      51.042      66.312      47.610      63.160      13.501      78.233   \n",
       "16      51.078      66.326      47.633      63.228      13.495      78.246   \n",
       "17      51.116      66.343      47.659      63.296      13.488      78.260   \n",
       "18      51.157      66.362      47.688      63.365      13.480      78.276   \n",
       "19      51.199      66.384      47.720      63.435      13.470      78.294   \n",
       "\n",
       "    player_8_y  player_9_x  player_9_y  player_10_x  player_10_y  player_11_x  \\\n",
       "0       45.493      53.960      25.734       72.800       25.964       40.913   \n",
       "1       45.492      53.882      25.801       72.851       25.956       40.913   \n",
       "2       45.491      53.806      25.859       72.901       25.948       40.914   \n",
       "3       45.491      53.729      25.908       72.950       25.938       40.916   \n",
       "4       45.491      53.654      25.949       72.998       25.928       40.919   \n",
       "5       45.493      53.578      25.981       73.044       25.916       40.924   \n",
       "6       45.494      53.503      26.006       73.088       25.903       40.929   \n",
       "7       45.497      53.428      26.023       73.131       25.889       40.935   \n",
       "8       45.500      53.353      26.034       73.172       25.872       40.942   \n",
       "9       45.505      53.278      26.039       73.211       25.854       40.950   \n",
       "10      45.510      53.203      26.040       73.248       25.834       40.959   \n",
       "11      45.517      53.127      26.036       73.283       25.811       40.969   \n",
       "12      45.524      53.051      26.030       73.316       25.787       40.979   \n",
       "13      45.533      52.974      26.021       73.346       25.759       40.990   \n",
       "14      45.543      52.896      26.012       73.374       25.730       41.001   \n",
       "15      45.554      52.818      26.003       73.399       25.697       41.013   \n",
       "16      45.567      52.738      25.994       73.422       25.662       41.026   \n",
       "17      45.580      52.657      25.988       73.443       25.625       41.039   \n",
       "18      45.595      52.575      25.985       73.461       25.585       41.052   \n",
       "19      45.612      52.492      25.986       73.477       25.542       41.067   \n",
       "\n",
       "    player_11_y  player_12_x  player_12_y  player_13_x  player_13_y  \\\n",
       "0        23.519       51.211       23.229       52.636       35.883   \n",
       "1        23.575       51.264       23.294       52.695       35.954   \n",
       "2        23.610       51.317       23.351       52.755       36.026   \n",
       "3        23.625       51.369       23.401       52.816       36.097   \n",
       "4        23.620       51.422       23.444       52.879       36.167   \n",
       "5        23.596       51.474       23.479       52.942       36.238   \n",
       "6        23.553       51.526       23.508       53.007       36.308   \n",
       "7        23.493       51.579       23.530       53.074       36.378   \n",
       "8        23.417       51.632       23.545       53.143       36.448   \n",
       "9        23.326       51.686       23.554       53.214       36.517   \n",
       "10       23.220       51.740       23.557       53.288       36.586   \n",
       "11       23.102       51.796       23.554       53.364       36.654   \n",
       "12       22.972       51.853       23.545       53.443       36.722   \n",
       "13       22.832       51.912       23.531       53.525       36.788   \n",
       "14       22.683       51.973       23.512       53.610       36.855   \n",
       "15       22.526       52.036       23.489       53.699       36.920   \n",
       "16       22.364       52.101       23.462       53.790       36.984   \n",
       "17       22.197       52.169       23.432       53.885       37.048   \n",
       "18       22.026       52.240       23.400       53.984       37.110   \n",
       "19       21.852       52.315       23.364       54.086       37.171   \n",
       "\n",
       "    player_14_x  player_14_y  player_15_x  player_15_y  player_16_x  \\\n",
       "0        46.126       30.051       53.199       53.248       41.628   \n",
       "1        46.146       30.102       53.405       53.319       41.450   \n",
       "2        46.165       30.153       53.611       53.387       41.287   \n",
       "3        46.185       30.202       53.817       53.452       41.141   \n",
       "4        46.204       30.251       54.024       53.513       41.011   \n",
       "5        46.224       30.298       54.231       53.570       40.897   \n",
       "6        46.243       30.344       54.438       53.622       40.797   \n",
       "7        46.263       30.388       54.646       53.670       40.712   \n",
       "8        46.282       30.430       54.854       53.713       40.641   \n",
       "9        46.302       30.471       55.063       53.750       40.582   \n",
       "10       46.321       30.510       55.273       53.783       40.536   \n",
       "11       46.341       30.546       55.484       53.811       40.501   \n",
       "12       46.361       30.581       55.695       53.833       40.476   \n",
       "13       46.380       30.613       55.908       53.851       40.461   \n",
       "14       46.400       30.643       56.122       53.863       40.455   \n",
       "15       46.421       30.670       56.337       53.870       40.455   \n",
       "16       46.441       30.695       56.554       53.873       40.463   \n",
       "17       46.461       30.718       56.773       53.872       40.476   \n",
       "18       46.482       30.738       56.994       53.867       40.493   \n",
       "19       46.503       30.756       57.217       53.858       40.515   \n",
       "\n",
       "    player_16_y  player_17_x  player_17_y  player_18_x  player_18_y  \\\n",
       "0        38.497       43.109       49.299       50.017       65.675   \n",
       "1        38.568       43.177       49.351       50.075       65.756   \n",
       "2        38.634       43.244       49.402       50.134       65.834   \n",
       "3        38.694       43.310       49.455       50.194       65.907   \n",
       "4        38.750       43.375       49.507       50.254       65.976   \n",
       "5        38.800       43.438       49.561       50.315       66.040   \n",
       "6        38.846       43.500       49.616       50.376       66.099   \n",
       "7        38.887       43.561       49.671       50.439       66.152   \n",
       "8        38.924       43.620       49.727       50.503       66.199   \n",
       "9        38.957       43.677       49.784       50.568       66.240   \n",
       "10       38.986       43.733       49.843       50.634       66.274   \n",
       "11       39.012       43.787       49.902       50.701       66.302   \n",
       "12       39.034       43.839       49.963       50.769       66.324   \n",
       "13       39.053       43.889       50.025       50.839       66.338   \n",
       "14       39.070       43.936       50.087       50.910       66.346   \n",
       "15       39.084       43.982       50.151       50.983       66.347   \n",
       "16       39.095       44.027       50.216       51.058       66.342   \n",
       "17       39.105       44.069       50.282       51.134       66.331   \n",
       "18       39.113       44.109       50.349       51.212       66.313   \n",
       "19       39.119       44.147       50.417       51.291       66.290   \n",
       "\n",
       "    player_19_x  player_19_y  player_20_x  player_20_y  player_21_x  \\\n",
       "0        53.052        4.563       52.170       42.621       99.751   \n",
       "1        53.152        4.543       52.198       42.571       99.714   \n",
       "2        53.253        4.521       52.227       42.523       99.677   \n",
       "3        53.354        4.499       52.257       42.477       99.640   \n",
       "4        53.456        4.475       52.289       42.433       99.603   \n",
       "5        53.559        4.450       52.322       42.392       99.567   \n",
       "6        53.662        4.424       52.356       42.353       99.530   \n",
       "7        53.767        4.397       52.392       42.317       99.493   \n",
       "8        53.872        4.370       52.429       42.282       99.457   \n",
       "9        53.979        4.342       52.468       42.250       99.420   \n",
       "10       54.086        4.313       52.509       42.220       99.383   \n",
       "11       54.195        4.284       52.551       42.192       99.345   \n",
       "12       54.306        4.255       52.595       42.166       99.308   \n",
       "13       54.417        4.226       52.640       42.142       99.269   \n",
       "14       54.530        4.197       52.687       42.120       99.230   \n",
       "15       54.645        4.169       52.737       42.100       99.191   \n",
       "16       54.761        4.140       52.788       42.081       99.150   \n",
       "17       54.878        4.112       52.841       42.064       99.109   \n",
       "18       54.997        4.085       52.895       42.048       99.066   \n",
       "19       55.117        4.058       52.952       42.034       99.022   \n",
       "\n",
       "    player_21_y  player_22_x  player_22_y  \n",
       "0        35.691        3.522       35.925  \n",
       "1        35.704        3.502       36.013  \n",
       "2        35.717        3.494       36.086  \n",
       "3        35.730        3.497       36.143  \n",
       "4        35.744        3.510       36.186  \n",
       "5        35.757        3.533       36.214  \n",
       "6        35.770        3.566       36.229  \n",
       "7        35.783        3.607       36.231  \n",
       "8        35.796        3.657       36.222  \n",
       "9        35.808        3.715       36.203  \n",
       "10       35.821        3.780       36.173  \n",
       "11       35.832        3.850       36.136  \n",
       "12       35.844        3.927       36.091  \n",
       "13       35.854        4.008       36.040  \n",
       "14       35.864        4.093       35.984  \n",
       "15       35.873        4.181       35.924  \n",
       "16       35.881        4.271       35.861  \n",
       "17       35.888        4.364       35.796  \n",
       "18       35.893        4.457       35.731  \n",
       "19       35.897        4.551       35.665  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pr.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8f0a7336",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-13-9888c579989c>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_pr['closestPlayer'] = 'tbd'\n"
     ]
    }
   ],
   "source": [
    "df_pr['closestPlayer'] = 'tbd' "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "68d07121",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>Pass_end_x</th>\n",
       "      <th>Pass_end_y</th>\n",
       "      <th>player_1_x</th>\n",
       "      <th>player_1_y</th>\n",
       "      <th>player_2_x</th>\n",
       "      <th>player_2_y</th>\n",
       "      <th>player_3_x</th>\n",
       "      <th>player_3_y</th>\n",
       "      <th>player_4_x</th>\n",
       "      <th>player_4_y</th>\n",
       "      <th>player_5_x</th>\n",
       "      <th>player_5_y</th>\n",
       "      <th>player_6_x</th>\n",
       "      <th>player_6_y</th>\n",
       "      <th>player_7_x</th>\n",
       "      <th>player_7_y</th>\n",
       "      <th>player_8_x</th>\n",
       "      <th>player_8_y</th>\n",
       "      <th>player_9_x</th>\n",
       "      <th>player_9_y</th>\n",
       "      <th>player_10_x</th>\n",
       "      <th>player_10_y</th>\n",
       "      <th>player_11_x</th>\n",
       "      <th>player_11_y</th>\n",
       "      <th>player_12_x</th>\n",
       "      <th>player_12_y</th>\n",
       "      <th>player_13_x</th>\n",
       "      <th>player_13_y</th>\n",
       "      <th>player_14_x</th>\n",
       "      <th>player_14_y</th>\n",
       "      <th>player_15_x</th>\n",
       "      <th>player_15_y</th>\n",
       "      <th>player_16_x</th>\n",
       "      <th>player_16_y</th>\n",
       "      <th>player_17_x</th>\n",
       "      <th>player_17_y</th>\n",
       "      <th>player_18_x</th>\n",
       "      <th>player_18_y</th>\n",
       "      <th>player_19_x</th>\n",
       "      <th>player_19_y</th>\n",
       "      <th>player_20_x</th>\n",
       "      <th>player_20_y</th>\n",
       "      <th>player_21_x</th>\n",
       "      <th>player_21_y</th>\n",
       "      <th>player_22_x</th>\n",
       "      <th>player_22_y</th>\n",
       "      <th>closestPlayer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       timestamp  Pass_end_x  Pass_end_y  player_1_x  player_1_y  player_2_x  \\\n",
       "0  1618170300000       36.96      36.312      73.662      37.017      71.057   \n",
       "1  1618170300040        0.00       0.000      73.687      37.030      71.108   \n",
       "\n",
       "   player_2_y  player_3_x  player_3_y  player_4_x  player_4_y  player_5_x  \\\n",
       "0      58.949      64.404      33.888      64.224      33.844      57.683   \n",
       "1      58.932      64.428      33.985      64.125      33.811      57.690   \n",
       "\n",
       "   player_5_y  player_6_x  player_6_y  player_7_x  player_7_y  player_8_x  \\\n",
       "0      50.663      66.209      47.268      62.236      13.515      78.175   \n",
       "1      50.682      66.214      47.303      62.295      13.516      78.174   \n",
       "\n",
       "   player_8_y  player_9_x  player_9_y  player_10_x  player_10_y  player_11_x  \\\n",
       "0      45.493      53.960      25.734       72.800       25.964       40.913   \n",
       "1      45.492      53.882      25.801       72.851       25.956       40.913   \n",
       "\n",
       "   player_11_y  player_12_x  player_12_y  player_13_x  player_13_y  \\\n",
       "0       23.519       51.211       23.229       52.636       35.883   \n",
       "1       23.575       51.264       23.294       52.695       35.954   \n",
       "\n",
       "   player_14_x  player_14_y  player_15_x  player_15_y  player_16_x  \\\n",
       "0       46.126       30.051       53.199       53.248       41.628   \n",
       "1       46.146       30.102       53.405       53.319       41.450   \n",
       "\n",
       "   player_16_y  player_17_x  player_17_y  player_18_x  player_18_y  \\\n",
       "0       38.497       43.109       49.299       50.017       65.675   \n",
       "1       38.568       43.177       49.351       50.075       65.756   \n",
       "\n",
       "   player_19_x  player_19_y  player_20_x  player_20_y  player_21_x  \\\n",
       "0       53.052        4.563       52.170       42.621       99.751   \n",
       "1       53.152        4.543       52.198       42.571       99.714   \n",
       "\n",
       "   player_21_y  player_22_x  player_22_y closestPlayer  \n",
       "0       35.691        3.522       35.925           tbd  \n",
       "1       35.704        3.502       36.013           tbd  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pr.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9b53a7cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "minValue = 1000.0\n",
    "minValues = []\n",
    "\n",
    "for row in df_pr.index:\n",
    "    if((df_pr.at[row,'Pass_end_x']) and (df_pr.at[row,'Pass_end_x']) != 0.0): # checks if its an event or just tracking\n",
    "        locationX = df_pr.at[row,'Pass_end_x']\n",
    "        locationY = df_pr.at[row,'Pass_end_y']\n",
    "        p = [locationX, locationY] # creates a point from the end coordinates\n",
    "        for col in range(0,22,2):\n",
    "            qX = df_pr.iloc[row,3+col]\n",
    "            qY = df_pr.iloc[row,3+col+1]\n",
    "            q = [qX, qY]\n",
    "            value = math.dist(p,q) \n",
    "            if(value < minValue):\n",
    "                minValue = value\n",
    "                df_pr.at[row,'closestPlayer'] = str(df_pr.iloc[[row],[3+col]])\n",
    "        minValues.append(minValue)\n",
    "        minValue = 1000.0\n",
    "        \n",
    "#def get_col_name(row):    \n",
    " #   b = (df.ix[row.name] == row['value'])\n",
    "  #  return b.index[b.argmax()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "7be2accb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>Pass_end_x</th>\n",
       "      <th>Pass_end_y</th>\n",
       "      <th>player_1_x</th>\n",
       "      <th>player_1_y</th>\n",
       "      <th>player_2_x</th>\n",
       "      <th>player_2_y</th>\n",
       "      <th>player_3_x</th>\n",
       "      <th>player_3_y</th>\n",
       "      <th>player_4_x</th>\n",
       "      <th>player_4_y</th>\n",
       "      <th>player_5_x</th>\n",
       "      <th>player_5_y</th>\n",
       "      <th>player_6_x</th>\n",
       "      <th>player_6_y</th>\n",
       "      <th>player_7_x</th>\n",
       "      <th>player_7_y</th>\n",
       "      <th>player_8_x</th>\n",
       "      <th>player_8_y</th>\n",
       "      <th>player_9_x</th>\n",
       "      <th>player_9_y</th>\n",
       "      <th>player_10_x</th>\n",
       "      <th>player_10_y</th>\n",
       "      <th>player_11_x</th>\n",
       "      <th>player_11_y</th>\n",
       "      <th>player_12_x</th>\n",
       "      <th>player_12_y</th>\n",
       "      <th>player_13_x</th>\n",
       "      <th>player_13_y</th>\n",
       "      <th>player_14_x</th>\n",
       "      <th>player_14_y</th>\n",
       "      <th>player_15_x</th>\n",
       "      <th>player_15_y</th>\n",
       "      <th>player_16_x</th>\n",
       "      <th>player_16_y</th>\n",
       "      <th>player_17_x</th>\n",
       "      <th>player_17_y</th>\n",
       "      <th>player_18_x</th>\n",
       "      <th>player_18_y</th>\n",
       "      <th>player_19_x</th>\n",
       "      <th>player_19_y</th>\n",
       "      <th>player_20_x</th>\n",
       "      <th>player_20_y</th>\n",
       "      <th>player_21_x</th>\n",
       "      <th>player_21_y</th>\n",
       "      <th>player_22_x</th>\n",
       "      <th>player_22_y</th>\n",
       "      <th>closestPlayer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>player_11_x\\n0       40.913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1618170300080</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1618170300120</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1618170300160</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1618170302800</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.641</td>\n",
       "      <td>37.653</td>\n",
       "      <td>73.714</td>\n",
       "      <td>58.217</td>\n",
       "      <td>64.572</td>\n",
       "      <td>37.848</td>\n",
       "      <td>57.876</td>\n",
       "      <td>34.869</td>\n",
       "      <td>62.664</td>\n",
       "      <td>54.464</td>\n",
       "      <td>71.084</td>\n",
       "      <td>50.064</td>\n",
       "      <td>67.863</td>\n",
       "      <td>13.129</td>\n",
       "      <td>80.573</td>\n",
       "      <td>46.582</td>\n",
       "      <td>47.434</td>\n",
       "      <td>35.676</td>\n",
       "      <td>74.587</td>\n",
       "      <td>24.854</td>\n",
       "      <td>44.049</td>\n",
       "      <td>17.593</td>\n",
       "      <td>59.689</td>\n",
       "      <td>23.137</td>\n",
       "      <td>60.667</td>\n",
       "      <td>37.894</td>\n",
       "      <td>48.304</td>\n",
       "      <td>32.116</td>\n",
       "      <td>71.114</td>\n",
       "      <td>54.295</td>\n",
       "      <td>41.853</td>\n",
       "      <td>39.899</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.333</td>\n",
       "      <td>57.058</td>\n",
       "      <td>66.011</td>\n",
       "      <td>61.791</td>\n",
       "      <td>4.248</td>\n",
       "      <td>56.975</td>\n",
       "      <td>42.478</td>\n",
       "      <td>95.442</td>\n",
       "      <td>34.854</td>\n",
       "      <td>7.506</td>\n",
       "      <td>35.518</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1618170302840</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.670</td>\n",
       "      <td>37.698</td>\n",
       "      <td>73.717</td>\n",
       "      <td>58.272</td>\n",
       "      <td>64.588</td>\n",
       "      <td>37.976</td>\n",
       "      <td>57.822</td>\n",
       "      <td>34.981</td>\n",
       "      <td>62.692</td>\n",
       "      <td>54.525</td>\n",
       "      <td>71.157</td>\n",
       "      <td>50.084</td>\n",
       "      <td>67.920</td>\n",
       "      <td>13.217</td>\n",
       "      <td>80.623</td>\n",
       "      <td>46.635</td>\n",
       "      <td>47.291</td>\n",
       "      <td>35.944</td>\n",
       "      <td>74.608</td>\n",
       "      <td>24.876</td>\n",
       "      <td>44.153</td>\n",
       "      <td>17.627</td>\n",
       "      <td>59.838</td>\n",
       "      <td>23.165</td>\n",
       "      <td>60.779</td>\n",
       "      <td>37.871</td>\n",
       "      <td>48.346</td>\n",
       "      <td>32.153</td>\n",
       "      <td>71.343</td>\n",
       "      <td>54.288</td>\n",
       "      <td>41.892</td>\n",
       "      <td>39.955</td>\n",
       "      <td>44.738</td>\n",
       "      <td>52.367</td>\n",
       "      <td>57.191</td>\n",
       "      <td>66.007</td>\n",
       "      <td>61.910</td>\n",
       "      <td>4.274</td>\n",
       "      <td>57.064</td>\n",
       "      <td>42.520</td>\n",
       "      <td>95.393</td>\n",
       "      <td>34.861</td>\n",
       "      <td>7.562</td>\n",
       "      <td>35.527</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1618170302880</td>\n",
       "      <td>40.95</td>\n",
       "      <td>47.192</td>\n",
       "      <td>73.700</td>\n",
       "      <td>37.743</td>\n",
       "      <td>73.715</td>\n",
       "      <td>58.328</td>\n",
       "      <td>64.604</td>\n",
       "      <td>38.105</td>\n",
       "      <td>57.770</td>\n",
       "      <td>35.093</td>\n",
       "      <td>62.713</td>\n",
       "      <td>54.588</td>\n",
       "      <td>71.225</td>\n",
       "      <td>50.106</td>\n",
       "      <td>67.974</td>\n",
       "      <td>13.313</td>\n",
       "      <td>80.671</td>\n",
       "      <td>46.693</td>\n",
       "      <td>47.145</td>\n",
       "      <td>36.211</td>\n",
       "      <td>74.627</td>\n",
       "      <td>24.897</td>\n",
       "      <td>44.258</td>\n",
       "      <td>17.668</td>\n",
       "      <td>59.985</td>\n",
       "      <td>23.195</td>\n",
       "      <td>60.889</td>\n",
       "      <td>37.848</td>\n",
       "      <td>48.387</td>\n",
       "      <td>32.188</td>\n",
       "      <td>71.569</td>\n",
       "      <td>54.281</td>\n",
       "      <td>41.929</td>\n",
       "      <td>40.009</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.405</td>\n",
       "      <td>57.324</td>\n",
       "      <td>66.000</td>\n",
       "      <td>62.028</td>\n",
       "      <td>4.301</td>\n",
       "      <td>57.154</td>\n",
       "      <td>42.565</td>\n",
       "      <td>95.345</td>\n",
       "      <td>34.868</td>\n",
       "      <td>7.619</td>\n",
       "      <td>35.535</td>\n",
       "      <td>player_9_x\\n72      47.145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1618170302920</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.730</td>\n",
       "      <td>37.787</td>\n",
       "      <td>73.707</td>\n",
       "      <td>58.385</td>\n",
       "      <td>64.617</td>\n",
       "      <td>38.235</td>\n",
       "      <td>57.720</td>\n",
       "      <td>35.206</td>\n",
       "      <td>62.727</td>\n",
       "      <td>54.654</td>\n",
       "      <td>71.285</td>\n",
       "      <td>50.132</td>\n",
       "      <td>68.024</td>\n",
       "      <td>13.416</td>\n",
       "      <td>80.716</td>\n",
       "      <td>46.754</td>\n",
       "      <td>46.995</td>\n",
       "      <td>36.476</td>\n",
       "      <td>74.645</td>\n",
       "      <td>24.920</td>\n",
       "      <td>44.362</td>\n",
       "      <td>17.717</td>\n",
       "      <td>60.130</td>\n",
       "      <td>23.228</td>\n",
       "      <td>60.998</td>\n",
       "      <td>37.824</td>\n",
       "      <td>48.429</td>\n",
       "      <td>32.223</td>\n",
       "      <td>71.790</td>\n",
       "      <td>54.272</td>\n",
       "      <td>41.963</td>\n",
       "      <td>40.062</td>\n",
       "      <td>44.742</td>\n",
       "      <td>52.446</td>\n",
       "      <td>57.457</td>\n",
       "      <td>65.991</td>\n",
       "      <td>62.144</td>\n",
       "      <td>4.329</td>\n",
       "      <td>57.245</td>\n",
       "      <td>42.611</td>\n",
       "      <td>95.298</td>\n",
       "      <td>34.875</td>\n",
       "      <td>7.677</td>\n",
       "      <td>35.542</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1618170302960</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.760</td>\n",
       "      <td>37.832</td>\n",
       "      <td>73.693</td>\n",
       "      <td>58.443</td>\n",
       "      <td>64.628</td>\n",
       "      <td>38.366</td>\n",
       "      <td>57.671</td>\n",
       "      <td>35.320</td>\n",
       "      <td>62.736</td>\n",
       "      <td>54.722</td>\n",
       "      <td>71.339</td>\n",
       "      <td>50.160</td>\n",
       "      <td>68.069</td>\n",
       "      <td>13.527</td>\n",
       "      <td>80.758</td>\n",
       "      <td>46.819</td>\n",
       "      <td>46.841</td>\n",
       "      <td>36.740</td>\n",
       "      <td>74.661</td>\n",
       "      <td>24.943</td>\n",
       "      <td>44.466</td>\n",
       "      <td>17.774</td>\n",
       "      <td>60.274</td>\n",
       "      <td>23.263</td>\n",
       "      <td>61.106</td>\n",
       "      <td>37.801</td>\n",
       "      <td>48.470</td>\n",
       "      <td>32.258</td>\n",
       "      <td>72.008</td>\n",
       "      <td>54.263</td>\n",
       "      <td>41.994</td>\n",
       "      <td>40.112</td>\n",
       "      <td>44.747</td>\n",
       "      <td>52.490</td>\n",
       "      <td>57.590</td>\n",
       "      <td>65.981</td>\n",
       "      <td>62.260</td>\n",
       "      <td>4.358</td>\n",
       "      <td>57.338</td>\n",
       "      <td>42.660</td>\n",
       "      <td>95.252</td>\n",
       "      <td>34.882</td>\n",
       "      <td>7.735</td>\n",
       "      <td>35.549</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        timestamp  Pass_end_x  Pass_end_y  player_1_x  player_1_y  player_2_x  \\\n",
       "0   1618170300000       36.96      36.312      73.662      37.017      71.057   \n",
       "1   1618170300040        0.00       0.000      73.687      37.030      71.108   \n",
       "2   1618170300080        0.00       0.000      73.712      37.043      71.159   \n",
       "3   1618170300120        0.00       0.000      73.738      37.055      71.208   \n",
       "4   1618170300160        0.00       0.000      73.764      37.068      71.258   \n",
       "..            ...         ...         ...         ...         ...         ...   \n",
       "70  1618170302800        0.00       0.000      73.641      37.653      73.714   \n",
       "71  1618170302840        0.00       0.000      73.670      37.698      73.717   \n",
       "72  1618170302880       40.95      47.192      73.700      37.743      73.715   \n",
       "73  1618170302920        0.00       0.000      73.730      37.787      73.707   \n",
       "74  1618170302960        0.00       0.000      73.760      37.832      73.693   \n",
       "\n",
       "    player_2_y  player_3_x  player_3_y  player_4_x  player_4_y  player_5_x  \\\n",
       "0       58.949      64.404      33.888      64.224      33.844      57.683   \n",
       "1       58.932      64.428      33.985      64.125      33.811      57.690   \n",
       "2       58.914      64.451      34.082      64.027      33.776      57.698   \n",
       "3       58.897      64.473      34.177      63.928      33.741      57.705   \n",
       "4       58.880      64.495      34.270      63.830      33.704      57.713   \n",
       "..         ...         ...         ...         ...         ...         ...   \n",
       "70      58.217      64.572      37.848      57.876      34.869      62.664   \n",
       "71      58.272      64.588      37.976      57.822      34.981      62.692   \n",
       "72      58.328      64.604      38.105      57.770      35.093      62.713   \n",
       "73      58.385      64.617      38.235      57.720      35.206      62.727   \n",
       "74      58.443      64.628      38.366      57.671      35.320      62.736   \n",
       "\n",
       "    player_5_y  player_6_x  player_6_y  player_7_x  player_7_y  player_8_x  \\\n",
       "0       50.663      66.209      47.268      62.236      13.515      78.175   \n",
       "1       50.682      66.214      47.303      62.295      13.516      78.174   \n",
       "2       50.701      66.219      47.335      62.354      13.517      78.173   \n",
       "3       50.721      66.224      47.364      62.413      13.518      78.173   \n",
       "4       50.742      66.229      47.391      62.472      13.519      78.173   \n",
       "..         ...         ...         ...         ...         ...         ...   \n",
       "70      54.464      71.084      50.064      67.863      13.129      80.573   \n",
       "71      54.525      71.157      50.084      67.920      13.217      80.623   \n",
       "72      54.588      71.225      50.106      67.974      13.313      80.671   \n",
       "73      54.654      71.285      50.132      68.024      13.416      80.716   \n",
       "74      54.722      71.339      50.160      68.069      13.527      80.758   \n",
       "\n",
       "    player_8_y  player_9_x  player_9_y  player_10_x  player_10_y  player_11_x  \\\n",
       "0       45.493      53.960      25.734       72.800       25.964       40.913   \n",
       "1       45.492      53.882      25.801       72.851       25.956       40.913   \n",
       "2       45.491      53.806      25.859       72.901       25.948       40.914   \n",
       "3       45.491      53.729      25.908       72.950       25.938       40.916   \n",
       "4       45.491      53.654      25.949       72.998       25.928       40.919   \n",
       "..         ...         ...         ...          ...          ...          ...   \n",
       "70      46.582      47.434      35.676       74.587       24.854       44.049   \n",
       "71      46.635      47.291      35.944       74.608       24.876       44.153   \n",
       "72      46.693      47.145      36.211       74.627       24.897       44.258   \n",
       "73      46.754      46.995      36.476       74.645       24.920       44.362   \n",
       "74      46.819      46.841      36.740       74.661       24.943       44.466   \n",
       "\n",
       "    player_11_y  player_12_x  player_12_y  player_13_x  player_13_y  \\\n",
       "0        23.519       51.211       23.229       52.636       35.883   \n",
       "1        23.575       51.264       23.294       52.695       35.954   \n",
       "2        23.610       51.317       23.351       52.755       36.026   \n",
       "3        23.625       51.369       23.401       52.816       36.097   \n",
       "4        23.620       51.422       23.444       52.879       36.167   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       17.593       59.689       23.137       60.667       37.894   \n",
       "71       17.627       59.838       23.165       60.779       37.871   \n",
       "72       17.668       59.985       23.195       60.889       37.848   \n",
       "73       17.717       60.130       23.228       60.998       37.824   \n",
       "74       17.774       60.274       23.263       61.106       37.801   \n",
       "\n",
       "    player_14_x  player_14_y  player_15_x  player_15_y  player_16_x  \\\n",
       "0        46.126       30.051       53.199       53.248       41.628   \n",
       "1        46.146       30.102       53.405       53.319       41.450   \n",
       "2        46.165       30.153       53.611       53.387       41.287   \n",
       "3        46.185       30.202       53.817       53.452       41.141   \n",
       "4        46.204       30.251       54.024       53.513       41.011   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       48.304       32.116       71.114       54.295       41.853   \n",
       "71       48.346       32.153       71.343       54.288       41.892   \n",
       "72       48.387       32.188       71.569       54.281       41.929   \n",
       "73       48.429       32.223       71.790       54.272       41.963   \n",
       "74       48.470       32.258       72.008       54.263       41.994   \n",
       "\n",
       "    player_16_y  player_17_x  player_17_y  player_18_x  player_18_y  \\\n",
       "0        38.497       43.109       49.299       50.017       65.675   \n",
       "1        38.568       43.177       49.351       50.075       65.756   \n",
       "2        38.634       43.244       49.402       50.134       65.834   \n",
       "3        38.694       43.310       49.455       50.194       65.907   \n",
       "4        38.750       43.375       49.507       50.254       65.976   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       39.899       44.739       52.333       57.058       66.011   \n",
       "71       39.955       44.738       52.367       57.191       66.007   \n",
       "72       40.009       44.739       52.405       57.324       66.000   \n",
       "73       40.062       44.742       52.446       57.457       65.991   \n",
       "74       40.112       44.747       52.490       57.590       65.981   \n",
       "\n",
       "    player_19_x  player_19_y  player_20_x  player_20_y  player_21_x  \\\n",
       "0        53.052        4.563       52.170       42.621       99.751   \n",
       "1        53.152        4.543       52.198       42.571       99.714   \n",
       "2        53.253        4.521       52.227       42.523       99.677   \n",
       "3        53.354        4.499       52.257       42.477       99.640   \n",
       "4        53.456        4.475       52.289       42.433       99.603   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       61.791        4.248       56.975       42.478       95.442   \n",
       "71       61.910        4.274       57.064       42.520       95.393   \n",
       "72       62.028        4.301       57.154       42.565       95.345   \n",
       "73       62.144        4.329       57.245       42.611       95.298   \n",
       "74       62.260        4.358       57.338       42.660       95.252   \n",
       "\n",
       "    player_21_y  player_22_x  player_22_y                   closestPlayer  \n",
       "0        35.691        3.522       35.925     player_11_x\\n0       40.913  \n",
       "1        35.704        3.502       36.013                             tbd  \n",
       "2        35.717        3.494       36.086                             tbd  \n",
       "3        35.730        3.497       36.143                             tbd  \n",
       "4        35.744        3.510       36.186                             tbd  \n",
       "..          ...          ...          ...                             ...  \n",
       "70       34.854        7.506       35.518                             tbd  \n",
       "71       34.861        7.562       35.527                             tbd  \n",
       "72       34.868        7.619       35.535      player_9_x\\n72      47.145  \n",
       "73       34.875        7.677       35.542                             tbd  \n",
       "74       34.882        7.735       35.549                             tbd  \n",
       "\n",
       "[75 rows x 48 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pr.head(75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e7398960",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "35.925\n",
      "35.535\n"
     ]
    }
   ],
   "source": [
    "print(df_pr.iloc[0,46])\n",
    "print(df_pr.iloc[72,46])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4c311086",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-18-95dfa4b3aae7>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_pr['closestPlayer'] = df_pr['closestPlayer'].astype(str)\n"
     ]
    }
   ],
   "source": [
    "df_pr['closestPlayer'] = df_pr['closestPlayer'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a32775de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "35.925\n",
      "35.535\n"
     ]
    }
   ],
   "source": [
    "print(df_pr.iloc[0,46])\n",
    "print(df_pr.iloc[72,46])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8e644c66",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in df_pr.index:\n",
    "    if(df_pr.at[row, 'closestPlayer'] != 'tbd'):\n",
    "        tmp = df_pr.at[row, 'closestPlayer']\n",
    "        partitioned_string = tmp.partition('x')\n",
    "        #print(partitioned_string)\n",
    "        playerNum = partitioned_string[0]\n",
    "        playerNum = playerNum.replace('_','')\n",
    "        playerNum = playerNum.replace(' ','')\n",
    "        df_pr.at[row, 'closestPlayer'] = playerNum\n",
    "        #print(playerNum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "76071d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>Pass_end_x</th>\n",
       "      <th>Pass_end_y</th>\n",
       "      <th>player_1_x</th>\n",
       "      <th>player_1_y</th>\n",
       "      <th>player_2_x</th>\n",
       "      <th>player_2_y</th>\n",
       "      <th>player_3_x</th>\n",
       "      <th>player_3_y</th>\n",
       "      <th>player_4_x</th>\n",
       "      <th>player_4_y</th>\n",
       "      <th>player_5_x</th>\n",
       "      <th>player_5_y</th>\n",
       "      <th>player_6_x</th>\n",
       "      <th>player_6_y</th>\n",
       "      <th>player_7_x</th>\n",
       "      <th>player_7_y</th>\n",
       "      <th>player_8_x</th>\n",
       "      <th>player_8_y</th>\n",
       "      <th>player_9_x</th>\n",
       "      <th>player_9_y</th>\n",
       "      <th>player_10_x</th>\n",
       "      <th>player_10_y</th>\n",
       "      <th>player_11_x</th>\n",
       "      <th>player_11_y</th>\n",
       "      <th>player_12_x</th>\n",
       "      <th>player_12_y</th>\n",
       "      <th>player_13_x</th>\n",
       "      <th>player_13_y</th>\n",
       "      <th>player_14_x</th>\n",
       "      <th>player_14_y</th>\n",
       "      <th>player_15_x</th>\n",
       "      <th>player_15_y</th>\n",
       "      <th>player_16_x</th>\n",
       "      <th>player_16_y</th>\n",
       "      <th>player_17_x</th>\n",
       "      <th>player_17_y</th>\n",
       "      <th>player_18_x</th>\n",
       "      <th>player_18_y</th>\n",
       "      <th>player_19_x</th>\n",
       "      <th>player_19_y</th>\n",
       "      <th>player_20_x</th>\n",
       "      <th>player_20_y</th>\n",
       "      <th>player_21_x</th>\n",
       "      <th>player_21_y</th>\n",
       "      <th>player_22_x</th>\n",
       "      <th>player_22_y</th>\n",
       "      <th>closestPlayer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>player11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1618170300080</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1618170300120</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1618170300160</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1618170302800</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.641</td>\n",
       "      <td>37.653</td>\n",
       "      <td>73.714</td>\n",
       "      <td>58.217</td>\n",
       "      <td>64.572</td>\n",
       "      <td>37.848</td>\n",
       "      <td>57.876</td>\n",
       "      <td>34.869</td>\n",
       "      <td>62.664</td>\n",
       "      <td>54.464</td>\n",
       "      <td>71.084</td>\n",
       "      <td>50.064</td>\n",
       "      <td>67.863</td>\n",
       "      <td>13.129</td>\n",
       "      <td>80.573</td>\n",
       "      <td>46.582</td>\n",
       "      <td>47.434</td>\n",
       "      <td>35.676</td>\n",
       "      <td>74.587</td>\n",
       "      <td>24.854</td>\n",
       "      <td>44.049</td>\n",
       "      <td>17.593</td>\n",
       "      <td>59.689</td>\n",
       "      <td>23.137</td>\n",
       "      <td>60.667</td>\n",
       "      <td>37.894</td>\n",
       "      <td>48.304</td>\n",
       "      <td>32.116</td>\n",
       "      <td>71.114</td>\n",
       "      <td>54.295</td>\n",
       "      <td>41.853</td>\n",
       "      <td>39.899</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.333</td>\n",
       "      <td>57.058</td>\n",
       "      <td>66.011</td>\n",
       "      <td>61.791</td>\n",
       "      <td>4.248</td>\n",
       "      <td>56.975</td>\n",
       "      <td>42.478</td>\n",
       "      <td>95.442</td>\n",
       "      <td>34.854</td>\n",
       "      <td>7.506</td>\n",
       "      <td>35.518</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1618170302840</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.670</td>\n",
       "      <td>37.698</td>\n",
       "      <td>73.717</td>\n",
       "      <td>58.272</td>\n",
       "      <td>64.588</td>\n",
       "      <td>37.976</td>\n",
       "      <td>57.822</td>\n",
       "      <td>34.981</td>\n",
       "      <td>62.692</td>\n",
       "      <td>54.525</td>\n",
       "      <td>71.157</td>\n",
       "      <td>50.084</td>\n",
       "      <td>67.920</td>\n",
       "      <td>13.217</td>\n",
       "      <td>80.623</td>\n",
       "      <td>46.635</td>\n",
       "      <td>47.291</td>\n",
       "      <td>35.944</td>\n",
       "      <td>74.608</td>\n",
       "      <td>24.876</td>\n",
       "      <td>44.153</td>\n",
       "      <td>17.627</td>\n",
       "      <td>59.838</td>\n",
       "      <td>23.165</td>\n",
       "      <td>60.779</td>\n",
       "      <td>37.871</td>\n",
       "      <td>48.346</td>\n",
       "      <td>32.153</td>\n",
       "      <td>71.343</td>\n",
       "      <td>54.288</td>\n",
       "      <td>41.892</td>\n",
       "      <td>39.955</td>\n",
       "      <td>44.738</td>\n",
       "      <td>52.367</td>\n",
       "      <td>57.191</td>\n",
       "      <td>66.007</td>\n",
       "      <td>61.910</td>\n",
       "      <td>4.274</td>\n",
       "      <td>57.064</td>\n",
       "      <td>42.520</td>\n",
       "      <td>95.393</td>\n",
       "      <td>34.861</td>\n",
       "      <td>7.562</td>\n",
       "      <td>35.527</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1618170302880</td>\n",
       "      <td>40.95</td>\n",
       "      <td>47.192</td>\n",
       "      <td>73.700</td>\n",
       "      <td>37.743</td>\n",
       "      <td>73.715</td>\n",
       "      <td>58.328</td>\n",
       "      <td>64.604</td>\n",
       "      <td>38.105</td>\n",
       "      <td>57.770</td>\n",
       "      <td>35.093</td>\n",
       "      <td>62.713</td>\n",
       "      <td>54.588</td>\n",
       "      <td>71.225</td>\n",
       "      <td>50.106</td>\n",
       "      <td>67.974</td>\n",
       "      <td>13.313</td>\n",
       "      <td>80.671</td>\n",
       "      <td>46.693</td>\n",
       "      <td>47.145</td>\n",
       "      <td>36.211</td>\n",
       "      <td>74.627</td>\n",
       "      <td>24.897</td>\n",
       "      <td>44.258</td>\n",
       "      <td>17.668</td>\n",
       "      <td>59.985</td>\n",
       "      <td>23.195</td>\n",
       "      <td>60.889</td>\n",
       "      <td>37.848</td>\n",
       "      <td>48.387</td>\n",
       "      <td>32.188</td>\n",
       "      <td>71.569</td>\n",
       "      <td>54.281</td>\n",
       "      <td>41.929</td>\n",
       "      <td>40.009</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.405</td>\n",
       "      <td>57.324</td>\n",
       "      <td>66.000</td>\n",
       "      <td>62.028</td>\n",
       "      <td>4.301</td>\n",
       "      <td>57.154</td>\n",
       "      <td>42.565</td>\n",
       "      <td>95.345</td>\n",
       "      <td>34.868</td>\n",
       "      <td>7.619</td>\n",
       "      <td>35.535</td>\n",
       "      <td>player9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1618170302920</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.730</td>\n",
       "      <td>37.787</td>\n",
       "      <td>73.707</td>\n",
       "      <td>58.385</td>\n",
       "      <td>64.617</td>\n",
       "      <td>38.235</td>\n",
       "      <td>57.720</td>\n",
       "      <td>35.206</td>\n",
       "      <td>62.727</td>\n",
       "      <td>54.654</td>\n",
       "      <td>71.285</td>\n",
       "      <td>50.132</td>\n",
       "      <td>68.024</td>\n",
       "      <td>13.416</td>\n",
       "      <td>80.716</td>\n",
       "      <td>46.754</td>\n",
       "      <td>46.995</td>\n",
       "      <td>36.476</td>\n",
       "      <td>74.645</td>\n",
       "      <td>24.920</td>\n",
       "      <td>44.362</td>\n",
       "      <td>17.717</td>\n",
       "      <td>60.130</td>\n",
       "      <td>23.228</td>\n",
       "      <td>60.998</td>\n",
       "      <td>37.824</td>\n",
       "      <td>48.429</td>\n",
       "      <td>32.223</td>\n",
       "      <td>71.790</td>\n",
       "      <td>54.272</td>\n",
       "      <td>41.963</td>\n",
       "      <td>40.062</td>\n",
       "      <td>44.742</td>\n",
       "      <td>52.446</td>\n",
       "      <td>57.457</td>\n",
       "      <td>65.991</td>\n",
       "      <td>62.144</td>\n",
       "      <td>4.329</td>\n",
       "      <td>57.245</td>\n",
       "      <td>42.611</td>\n",
       "      <td>95.298</td>\n",
       "      <td>34.875</td>\n",
       "      <td>7.677</td>\n",
       "      <td>35.542</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1618170302960</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.760</td>\n",
       "      <td>37.832</td>\n",
       "      <td>73.693</td>\n",
       "      <td>58.443</td>\n",
       "      <td>64.628</td>\n",
       "      <td>38.366</td>\n",
       "      <td>57.671</td>\n",
       "      <td>35.320</td>\n",
       "      <td>62.736</td>\n",
       "      <td>54.722</td>\n",
       "      <td>71.339</td>\n",
       "      <td>50.160</td>\n",
       "      <td>68.069</td>\n",
       "      <td>13.527</td>\n",
       "      <td>80.758</td>\n",
       "      <td>46.819</td>\n",
       "      <td>46.841</td>\n",
       "      <td>36.740</td>\n",
       "      <td>74.661</td>\n",
       "      <td>24.943</td>\n",
       "      <td>44.466</td>\n",
       "      <td>17.774</td>\n",
       "      <td>60.274</td>\n",
       "      <td>23.263</td>\n",
       "      <td>61.106</td>\n",
       "      <td>37.801</td>\n",
       "      <td>48.470</td>\n",
       "      <td>32.258</td>\n",
       "      <td>72.008</td>\n",
       "      <td>54.263</td>\n",
       "      <td>41.994</td>\n",
       "      <td>40.112</td>\n",
       "      <td>44.747</td>\n",
       "      <td>52.490</td>\n",
       "      <td>57.590</td>\n",
       "      <td>65.981</td>\n",
       "      <td>62.260</td>\n",
       "      <td>4.358</td>\n",
       "      <td>57.338</td>\n",
       "      <td>42.660</td>\n",
       "      <td>95.252</td>\n",
       "      <td>34.882</td>\n",
       "      <td>7.735</td>\n",
       "      <td>35.549</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        timestamp  Pass_end_x  Pass_end_y  player_1_x  player_1_y  player_2_x  \\\n",
       "0   1618170300000       36.96      36.312      73.662      37.017      71.057   \n",
       "1   1618170300040        0.00       0.000      73.687      37.030      71.108   \n",
       "2   1618170300080        0.00       0.000      73.712      37.043      71.159   \n",
       "3   1618170300120        0.00       0.000      73.738      37.055      71.208   \n",
       "4   1618170300160        0.00       0.000      73.764      37.068      71.258   \n",
       "..            ...         ...         ...         ...         ...         ...   \n",
       "70  1618170302800        0.00       0.000      73.641      37.653      73.714   \n",
       "71  1618170302840        0.00       0.000      73.670      37.698      73.717   \n",
       "72  1618170302880       40.95      47.192      73.700      37.743      73.715   \n",
       "73  1618170302920        0.00       0.000      73.730      37.787      73.707   \n",
       "74  1618170302960        0.00       0.000      73.760      37.832      73.693   \n",
       "\n",
       "    player_2_y  player_3_x  player_3_y  player_4_x  player_4_y  player_5_x  \\\n",
       "0       58.949      64.404      33.888      64.224      33.844      57.683   \n",
       "1       58.932      64.428      33.985      64.125      33.811      57.690   \n",
       "2       58.914      64.451      34.082      64.027      33.776      57.698   \n",
       "3       58.897      64.473      34.177      63.928      33.741      57.705   \n",
       "4       58.880      64.495      34.270      63.830      33.704      57.713   \n",
       "..         ...         ...         ...         ...         ...         ...   \n",
       "70      58.217      64.572      37.848      57.876      34.869      62.664   \n",
       "71      58.272      64.588      37.976      57.822      34.981      62.692   \n",
       "72      58.328      64.604      38.105      57.770      35.093      62.713   \n",
       "73      58.385      64.617      38.235      57.720      35.206      62.727   \n",
       "74      58.443      64.628      38.366      57.671      35.320      62.736   \n",
       "\n",
       "    player_5_y  player_6_x  player_6_y  player_7_x  player_7_y  player_8_x  \\\n",
       "0       50.663      66.209      47.268      62.236      13.515      78.175   \n",
       "1       50.682      66.214      47.303      62.295      13.516      78.174   \n",
       "2       50.701      66.219      47.335      62.354      13.517      78.173   \n",
       "3       50.721      66.224      47.364      62.413      13.518      78.173   \n",
       "4       50.742      66.229      47.391      62.472      13.519      78.173   \n",
       "..         ...         ...         ...         ...         ...         ...   \n",
       "70      54.464      71.084      50.064      67.863      13.129      80.573   \n",
       "71      54.525      71.157      50.084      67.920      13.217      80.623   \n",
       "72      54.588      71.225      50.106      67.974      13.313      80.671   \n",
       "73      54.654      71.285      50.132      68.024      13.416      80.716   \n",
       "74      54.722      71.339      50.160      68.069      13.527      80.758   \n",
       "\n",
       "    player_8_y  player_9_x  player_9_y  player_10_x  player_10_y  player_11_x  \\\n",
       "0       45.493      53.960      25.734       72.800       25.964       40.913   \n",
       "1       45.492      53.882      25.801       72.851       25.956       40.913   \n",
       "2       45.491      53.806      25.859       72.901       25.948       40.914   \n",
       "3       45.491      53.729      25.908       72.950       25.938       40.916   \n",
       "4       45.491      53.654      25.949       72.998       25.928       40.919   \n",
       "..         ...         ...         ...          ...          ...          ...   \n",
       "70      46.582      47.434      35.676       74.587       24.854       44.049   \n",
       "71      46.635      47.291      35.944       74.608       24.876       44.153   \n",
       "72      46.693      47.145      36.211       74.627       24.897       44.258   \n",
       "73      46.754      46.995      36.476       74.645       24.920       44.362   \n",
       "74      46.819      46.841      36.740       74.661       24.943       44.466   \n",
       "\n",
       "    player_11_y  player_12_x  player_12_y  player_13_x  player_13_y  \\\n",
       "0        23.519       51.211       23.229       52.636       35.883   \n",
       "1        23.575       51.264       23.294       52.695       35.954   \n",
       "2        23.610       51.317       23.351       52.755       36.026   \n",
       "3        23.625       51.369       23.401       52.816       36.097   \n",
       "4        23.620       51.422       23.444       52.879       36.167   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       17.593       59.689       23.137       60.667       37.894   \n",
       "71       17.627       59.838       23.165       60.779       37.871   \n",
       "72       17.668       59.985       23.195       60.889       37.848   \n",
       "73       17.717       60.130       23.228       60.998       37.824   \n",
       "74       17.774       60.274       23.263       61.106       37.801   \n",
       "\n",
       "    player_14_x  player_14_y  player_15_x  player_15_y  player_16_x  \\\n",
       "0        46.126       30.051       53.199       53.248       41.628   \n",
       "1        46.146       30.102       53.405       53.319       41.450   \n",
       "2        46.165       30.153       53.611       53.387       41.287   \n",
       "3        46.185       30.202       53.817       53.452       41.141   \n",
       "4        46.204       30.251       54.024       53.513       41.011   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       48.304       32.116       71.114       54.295       41.853   \n",
       "71       48.346       32.153       71.343       54.288       41.892   \n",
       "72       48.387       32.188       71.569       54.281       41.929   \n",
       "73       48.429       32.223       71.790       54.272       41.963   \n",
       "74       48.470       32.258       72.008       54.263       41.994   \n",
       "\n",
       "    player_16_y  player_17_x  player_17_y  player_18_x  player_18_y  \\\n",
       "0        38.497       43.109       49.299       50.017       65.675   \n",
       "1        38.568       43.177       49.351       50.075       65.756   \n",
       "2        38.634       43.244       49.402       50.134       65.834   \n",
       "3        38.694       43.310       49.455       50.194       65.907   \n",
       "4        38.750       43.375       49.507       50.254       65.976   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       39.899       44.739       52.333       57.058       66.011   \n",
       "71       39.955       44.738       52.367       57.191       66.007   \n",
       "72       40.009       44.739       52.405       57.324       66.000   \n",
       "73       40.062       44.742       52.446       57.457       65.991   \n",
       "74       40.112       44.747       52.490       57.590       65.981   \n",
       "\n",
       "    player_19_x  player_19_y  player_20_x  player_20_y  player_21_x  \\\n",
       "0        53.052        4.563       52.170       42.621       99.751   \n",
       "1        53.152        4.543       52.198       42.571       99.714   \n",
       "2        53.253        4.521       52.227       42.523       99.677   \n",
       "3        53.354        4.499       52.257       42.477       99.640   \n",
       "4        53.456        4.475       52.289       42.433       99.603   \n",
       "..          ...          ...          ...          ...          ...   \n",
       "70       61.791        4.248       56.975       42.478       95.442   \n",
       "71       61.910        4.274       57.064       42.520       95.393   \n",
       "72       62.028        4.301       57.154       42.565       95.345   \n",
       "73       62.144        4.329       57.245       42.611       95.298   \n",
       "74       62.260        4.358       57.338       42.660       95.252   \n",
       "\n",
       "    player_21_y  player_22_x  player_22_y closestPlayer  \n",
       "0        35.691        3.522       35.925      player11  \n",
       "1        35.704        3.502       36.013           tbd  \n",
       "2        35.717        3.494       36.086           tbd  \n",
       "3        35.730        3.497       36.143           tbd  \n",
       "4        35.744        3.510       36.186           tbd  \n",
       "..          ...          ...          ...           ...  \n",
       "70       34.854        7.506       35.518           tbd  \n",
       "71       34.861        7.562       35.527           tbd  \n",
       "72       34.868        7.619       35.535       player9  \n",
       "73       34.875        7.677       35.542           tbd  \n",
       "74       34.882        7.735       35.549           tbd  \n",
       "\n",
       "[75 rows x 48 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pr.head(75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "13673aa3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tbd         142071\n",
       "player9        111\n",
       "player5        103\n",
       "player7        100\n",
       "player11        96\n",
       "player4         94\n",
       "player6         90\n",
       "player10        84\n",
       "player2         84\n",
       "player1         80\n",
       "player3         77\n",
       "player8         54\n",
       "Name: closestPlayer, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pr['closestPlayer'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5f2e3510",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(minValues)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "22606b32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "range = (0, 40)\n",
    "bins =  8\n",
    "  \n",
    "# plotting a histogram\n",
    "plt.hist(minValues, bins, range, color = 'blue',\n",
    "        histtype = 'bar', rwidth = 0.8)\n",
    "\n",
    "# x-axis label\n",
    "plt.xlabel('Difference between the endlocation of the ball and the closest player')\n",
    "# frequency label\n",
    "plt.ylabel('Frequency')\n",
    "# plot title\n",
    "plt.title('Finding the recipient')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a2bdbfeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.merge(df1, df_pr, on='timestamp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c8e5820b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>time_of_current_half</th>\n",
       "      <th>half_indicator</th>\n",
       "      <th>match_not_in_play</th>\n",
       "      <th>player_1_teamId</th>\n",
       "      <th>player_1_objectId</th>\n",
       "      <th>player_1_jerseyNum</th>\n",
       "      <th>player_1_x_x</th>\n",
       "      <th>player_1_y_x</th>\n",
       "      <th>player_2_teamId</th>\n",
       "      <th>player_2_objectId</th>\n",
       "      <th>player_2_jerseyNum</th>\n",
       "      <th>player_2_x_x</th>\n",
       "      <th>player_2_y_x</th>\n",
       "      <th>player_3_teamId</th>\n",
       "      <th>player_3_objectId</th>\n",
       "      <th>player_3_jerseyNum</th>\n",
       "      <th>player_3_x_x</th>\n",
       "      <th>player_3_y_x</th>\n",
       "      <th>player_4_teamId</th>\n",
       "      <th>player_4_objectId</th>\n",
       "      <th>player_4_jerseyNum</th>\n",
       "      <th>player_4_x_x</th>\n",
       "      <th>player_4_y_x</th>\n",
       "      <th>player_5_teamId</th>\n",
       "      <th>player_5_objectId</th>\n",
       "      <th>player_5_jerseyNum</th>\n",
       "      <th>player_5_x_x</th>\n",
       "      <th>player_5_y_x</th>\n",
       "      <th>player_6_teamId</th>\n",
       "      <th>player_6_objectId</th>\n",
       "      <th>player_6_jerseyNum</th>\n",
       "      <th>player_6_x_x</th>\n",
       "      <th>player_6_y_x</th>\n",
       "      <th>player_7_teamId</th>\n",
       "      <th>player_7_objectId</th>\n",
       "      <th>player_7_jerseyNum</th>\n",
       "      <th>player_7_x_x</th>\n",
       "      <th>player_7_y_x</th>\n",
       "      <th>player_8_teamId</th>\n",
       "      <th>player_8_objectId</th>\n",
       "      <th>player_8_jerseyNum</th>\n",
       "      <th>player_8_x_x</th>\n",
       "      <th>player_8_y_x</th>\n",
       "      <th>player_9_teamId</th>\n",
       "      <th>player_9_objectId</th>\n",
       "      <th>player_9_jerseyNum</th>\n",
       "      <th>player_9_x_x</th>\n",
       "      <th>player_9_y_x</th>\n",
       "      <th>player_10_teamId</th>\n",
       "      <th>player_10_objectId</th>\n",
       "      <th>player_10_jerseyNum</th>\n",
       "      <th>player_10_x_x</th>\n",
       "      <th>player_10_y_x</th>\n",
       "      <th>player_11_teamId</th>\n",
       "      <th>player_11_objectId</th>\n",
       "      <th>player_11_jerseyNum</th>\n",
       "      <th>player_11_x_x</th>\n",
       "      <th>player_11_y_x</th>\n",
       "      <th>player_12_teamId</th>\n",
       "      <th>player_12_objectId</th>\n",
       "      <th>player_12_jerseyNum</th>\n",
       "      <th>player_12_x_x</th>\n",
       "      <th>player_12_y_x</th>\n",
       "      <th>player_13_teamId</th>\n",
       "      <th>player_13_objectId</th>\n",
       "      <th>player_13_jerseyNum</th>\n",
       "      <th>player_13_x_x</th>\n",
       "      <th>player_13_y_x</th>\n",
       "      <th>player_14_teamId</th>\n",
       "      <th>player_14_objectId</th>\n",
       "      <th>player_14_jerseyNum</th>\n",
       "      <th>player_14_x_x</th>\n",
       "      <th>player_14_y_x</th>\n",
       "      <th>player_15_teamId</th>\n",
       "      <th>player_15_objectId</th>\n",
       "      <th>player_15_jerseyNum</th>\n",
       "      <th>player_15_x_x</th>\n",
       "      <th>player_15_y_x</th>\n",
       "      <th>player_16_teamId</th>\n",
       "      <th>player_16_objectId</th>\n",
       "      <th>player_16_jerseyNum</th>\n",
       "      <th>player_16_x_x</th>\n",
       "      <th>player_16_y_x</th>\n",
       "      <th>player_17_teamId</th>\n",
       "      <th>player_17_objectId</th>\n",
       "      <th>player_17_jerseyNum</th>\n",
       "      <th>player_17_x_x</th>\n",
       "      <th>player_17_y_x</th>\n",
       "      <th>player_18_teamId</th>\n",
       "      <th>player_18_objectId</th>\n",
       "      <th>player_18_jerseyNum</th>\n",
       "      <th>player_18_x_x</th>\n",
       "      <th>player_18_y_x</th>\n",
       "      <th>player_19_teamId</th>\n",
       "      <th>player_19_objectId</th>\n",
       "      <th>player_19_jerseyNum</th>\n",
       "      <th>player_19_x_x</th>\n",
       "      <th>player_19_y_x</th>\n",
       "      <th>player_20_teamId</th>\n",
       "      <th>player_20_objectId</th>\n",
       "      <th>player_20_jerseyNum</th>\n",
       "      <th>player_20_x_x</th>\n",
       "      <th>player_20_y_x</th>\n",
       "      <th>player_21_teamId</th>\n",
       "      <th>player_21_objectId</th>\n",
       "      <th>player_21_jerseyNum</th>\n",
       "      <th>player_21_x_x</th>\n",
       "      <th>player_21_y_x</th>\n",
       "      <th>player_22_teamId</th>\n",
       "      <th>player_22_objectId</th>\n",
       "      <th>player_22_jerseyNum</th>\n",
       "      <th>player_22_x_x</th>\n",
       "      <th>player_22_y_x</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>ball_z</th>\n",
       "      <th>timeMilliSec</th>\n",
       "      <th>frame_id</th>\n",
       "      <th>id</th>\n",
       "      <th>eventId</th>\n",
       "      <th>typeId</th>\n",
       "      <th>periodId</th>\n",
       "      <th>timeMin</th>\n",
       "      <th>timeSec</th>\n",
       "      <th>contestantId</th>\n",
       "      <th>outcome</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>lastModified</th>\n",
       "      <th>qualifier_0_id</th>\n",
       "      <th>qualifier_0_qualifierId</th>\n",
       "      <th>qualifier_0_value</th>\n",
       "      <th>qualifier_1_id</th>\n",
       "      <th>qualifier_1_qualifierId</th>\n",
       "      <th>qualifier_1_value</th>\n",
       "      <th>qualifier_2_id</th>\n",
       "      <th>qualifier_2_qualifierId</th>\n",
       "      <th>qualifier_2_value</th>\n",
       "      <th>qualifier_3_id</th>\n",
       "      <th>qualifier_3_qualifierId</th>\n",
       "      <th>qualifier_3_value</th>\n",
       "      <th>qualifier_4_id</th>\n",
       "      <th>qualifier_4_qualifierId</th>\n",
       "      <th>qualifier_4_value</th>\n",
       "      <th>qualifier_5_id</th>\n",
       "      <th>qualifier_5_qualifierId</th>\n",
       "      <th>qualifier_5_value</th>\n",
       "      <th>qualifier_6_id</th>\n",
       "      <th>qualifier_6_qualifierId</th>\n",
       "      <th>qualifier_6_value</th>\n",
       "      <th>qualifier_7_id</th>\n",
       "      <th>qualifier_7_qualifierId</th>\n",
       "      <th>qualifier_7_value</th>\n",
       "      <th>playerId</th>\n",
       "      <th>playerName</th>\n",
       "      <th>sequenceId</th>\n",
       "      <th>possessionId</th>\n",
       "      <th>qualifier_8_id</th>\n",
       "      <th>qualifier_8_qualifierId</th>\n",
       "      <th>qualifier_8_value</th>\n",
       "      <th>qualifier_9_id</th>\n",
       "      <th>qualifier_9_qualifierId</th>\n",
       "      <th>qualifier_10_id</th>\n",
       "      <th>qualifier_10_qualifierId</th>\n",
       "      <th>qualifier_11_id</th>\n",
       "      <th>qualifier_11_qualifierId</th>\n",
       "      <th>qualifier_12_id</th>\n",
       "      <th>qualifier_12_qualifierId</th>\n",
       "      <th>keyPass</th>\n",
       "      <th>qualifier_9_value</th>\n",
       "      <th>qualifier_10_value</th>\n",
       "      <th>qualifier_11_value</th>\n",
       "      <th>qualifier_13_id</th>\n",
       "      <th>qualifier_13_qualifierId</th>\n",
       "      <th>qualifier_13_value</th>\n",
       "      <th>qualifier_14_id</th>\n",
       "      <th>qualifier_14_qualifierId</th>\n",
       "      <th>qualifier_14_value</th>\n",
       "      <th>qualifier_15_id</th>\n",
       "      <th>qualifier_15_qualifierId</th>\n",
       "      <th>qualifier_12_value</th>\n",
       "      <th>qualifier_15_value</th>\n",
       "      <th>qualifier_16_id</th>\n",
       "      <th>qualifier_16_qualifierId</th>\n",
       "      <th>qualifier_17_id</th>\n",
       "      <th>qualifier_17_qualifierId</th>\n",
       "      <th>qualifier_17_value</th>\n",
       "      <th>qualifier_18_id</th>\n",
       "      <th>qualifier_18_qualifierId</th>\n",
       "      <th>qualifier_18_value</th>\n",
       "      <th>qualifier_19_id</th>\n",
       "      <th>qualifier_19_qualifierId</th>\n",
       "      <th>qualifier_16_value</th>\n",
       "      <th>qualifier_19_value</th>\n",
       "      <th>qualifier_20_id</th>\n",
       "      <th>qualifier_20_qualifierId</th>\n",
       "      <th>qualifier_20_value</th>\n",
       "      <th>qualifier_21_id</th>\n",
       "      <th>qualifier_21_qualifierId</th>\n",
       "      <th>assist</th>\n",
       "      <th>qualifier_21_value</th>\n",
       "      <th>qualifier_22_id</th>\n",
       "      <th>qualifier_22_qualifierId</th>\n",
       "      <th>playerTrackingId</th>\n",
       "      <th>to_sec</th>\n",
       "      <th>sec_remaining</th>\n",
       "      <th>Pass_end_x_x</th>\n",
       "      <th>Pass_end_y_x</th>\n",
       "      <th>dist_to_opponent_goal</th>\n",
       "      <th>angle_to_goal</th>\n",
       "      <th>Goal_difference_home</th>\n",
       "      <th>Goal_difference_away</th>\n",
       "      <th>distance</th>\n",
       "      <th>Pass_end_x_y</th>\n",
       "      <th>Pass_end_y_y</th>\n",
       "      <th>player_1_x_y</th>\n",
       "      <th>player_1_y_y</th>\n",
       "      <th>player_2_x_y</th>\n",
       "      <th>player_2_y_y</th>\n",
       "      <th>player_3_x_y</th>\n",
       "      <th>player_3_y_y</th>\n",
       "      <th>player_4_x_y</th>\n",
       "      <th>player_4_y_y</th>\n",
       "      <th>player_5_x_y</th>\n",
       "      <th>player_5_y_y</th>\n",
       "      <th>player_6_x_y</th>\n",
       "      <th>player_6_y_y</th>\n",
       "      <th>player_7_x_y</th>\n",
       "      <th>player_7_y_y</th>\n",
       "      <th>player_8_x_y</th>\n",
       "      <th>player_8_y_y</th>\n",
       "      <th>player_9_x_y</th>\n",
       "      <th>player_9_y_y</th>\n",
       "      <th>player_10_x_y</th>\n",
       "      <th>player_10_y_y</th>\n",
       "      <th>player_11_x_y</th>\n",
       "      <th>player_11_y_y</th>\n",
       "      <th>player_12_x_y</th>\n",
       "      <th>player_12_y_y</th>\n",
       "      <th>player_13_x_y</th>\n",
       "      <th>player_13_y_y</th>\n",
       "      <th>player_14_x_y</th>\n",
       "      <th>player_14_y_y</th>\n",
       "      <th>player_15_x_y</th>\n",
       "      <th>player_15_y_y</th>\n",
       "      <th>player_16_x_y</th>\n",
       "      <th>player_16_y_y</th>\n",
       "      <th>player_17_x_y</th>\n",
       "      <th>player_17_y_y</th>\n",
       "      <th>player_18_x_y</th>\n",
       "      <th>player_18_y_y</th>\n",
       "      <th>player_19_x_y</th>\n",
       "      <th>player_19_y_y</th>\n",
       "      <th>player_20_x_y</th>\n",
       "      <th>player_20_y_y</th>\n",
       "      <th>player_21_x_y</th>\n",
       "      <th>player_21_y_y</th>\n",
       "      <th>player_22_x_y</th>\n",
       "      <th>player_22_y_y</th>\n",
       "      <th>closestPlayer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>52.61</td>\n",
       "      <td>37.47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.285535e+09</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2b57rbw94i9ohnbch52owvqtq</td>\n",
       "      <td>1.0</td>\n",
       "      <td>52.500</td>\n",
       "      <td>34.000</td>\n",
       "      <td>1.618170e+12</td>\n",
       "      <td>2021-04-12T06:41:52Z</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Back</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>35.2</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>141.0</td>\n",
       "      <td>53.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>212.0</td>\n",
       "      <td>15.7</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>213.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>279.0</td>\n",
       "      <td>S</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0.00002164</td>\n",
       "      <td>2.861894e+09</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1d2fpmtdglpqwyhnc657n77it</td>\n",
       "      <td>A. Hjulsager</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>743228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2703.0</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>52.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.887905</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>player11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>52.12</td>\n",
       "      <td>37.55</td>\n",
       "      <td>0.071</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1618170300080</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>51.62</td>\n",
       "      <td>37.63</td>\n",
       "      <td>0.126</td>\n",
       "      <td>80</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1618170300120</td>\n",
       "      <td>120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>51.12</td>\n",
       "      <td>37.71</td>\n",
       "      <td>0.165</td>\n",
       "      <td>120</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1618170300160</td>\n",
       "      <td>160</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>50.63</td>\n",
       "      <td>37.79</td>\n",
       "      <td>0.188</td>\n",
       "      <td>160</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1618170302800</td>\n",
       "      <td>2800</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.641</td>\n",
       "      <td>37.653</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.714</td>\n",
       "      <td>58.217</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.572</td>\n",
       "      <td>37.848</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.876</td>\n",
       "      <td>34.869</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.664</td>\n",
       "      <td>54.464</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.084</td>\n",
       "      <td>50.064</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>67.863</td>\n",
       "      <td>13.129</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.573</td>\n",
       "      <td>46.582</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>47.434</td>\n",
       "      <td>35.676</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.587</td>\n",
       "      <td>24.854</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.049</td>\n",
       "      <td>17.593</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>59.689</td>\n",
       "      <td>23.137</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.667</td>\n",
       "      <td>37.894</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.304</td>\n",
       "      <td>32.116</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.114</td>\n",
       "      <td>54.295</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.853</td>\n",
       "      <td>39.899</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.333</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.058</td>\n",
       "      <td>66.011</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>61.791</td>\n",
       "      <td>4.248</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>56.975</td>\n",
       "      <td>42.478</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.442</td>\n",
       "      <td>34.854</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.506</td>\n",
       "      <td>35.518</td>\n",
       "      <td>42.66</td>\n",
       "      <td>41.06</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2800</td>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.641</td>\n",
       "      <td>37.653</td>\n",
       "      <td>73.714</td>\n",
       "      <td>58.217</td>\n",
       "      <td>64.572</td>\n",
       "      <td>37.848</td>\n",
       "      <td>57.876</td>\n",
       "      <td>34.869</td>\n",
       "      <td>62.664</td>\n",
       "      <td>54.464</td>\n",
       "      <td>71.084</td>\n",
       "      <td>50.064</td>\n",
       "      <td>67.863</td>\n",
       "      <td>13.129</td>\n",
       "      <td>80.573</td>\n",
       "      <td>46.582</td>\n",
       "      <td>47.434</td>\n",
       "      <td>35.676</td>\n",
       "      <td>74.587</td>\n",
       "      <td>24.854</td>\n",
       "      <td>44.049</td>\n",
       "      <td>17.593</td>\n",
       "      <td>59.689</td>\n",
       "      <td>23.137</td>\n",
       "      <td>60.667</td>\n",
       "      <td>37.894</td>\n",
       "      <td>48.304</td>\n",
       "      <td>32.116</td>\n",
       "      <td>71.114</td>\n",
       "      <td>54.295</td>\n",
       "      <td>41.853</td>\n",
       "      <td>39.899</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.333</td>\n",
       "      <td>57.058</td>\n",
       "      <td>66.011</td>\n",
       "      <td>61.791</td>\n",
       "      <td>4.248</td>\n",
       "      <td>56.975</td>\n",
       "      <td>42.478</td>\n",
       "      <td>95.442</td>\n",
       "      <td>34.854</td>\n",
       "      <td>7.506</td>\n",
       "      <td>35.518</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1618170302840</td>\n",
       "      <td>2840</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.670</td>\n",
       "      <td>37.698</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.717</td>\n",
       "      <td>58.272</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.588</td>\n",
       "      <td>37.976</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.822</td>\n",
       "      <td>34.981</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.692</td>\n",
       "      <td>54.525</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.157</td>\n",
       "      <td>50.084</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>67.920</td>\n",
       "      <td>13.217</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.623</td>\n",
       "      <td>46.635</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>47.291</td>\n",
       "      <td>35.944</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.608</td>\n",
       "      <td>24.876</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.153</td>\n",
       "      <td>17.627</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>59.838</td>\n",
       "      <td>23.165</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.779</td>\n",
       "      <td>37.871</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.346</td>\n",
       "      <td>32.153</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.343</td>\n",
       "      <td>54.288</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.892</td>\n",
       "      <td>39.955</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.738</td>\n",
       "      <td>52.367</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.191</td>\n",
       "      <td>66.007</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>61.910</td>\n",
       "      <td>4.274</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.064</td>\n",
       "      <td>42.520</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.393</td>\n",
       "      <td>34.861</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.562</td>\n",
       "      <td>35.527</td>\n",
       "      <td>42.79</td>\n",
       "      <td>41.56</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2840</td>\n",
       "      <td>71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.670</td>\n",
       "      <td>37.698</td>\n",
       "      <td>73.717</td>\n",
       "      <td>58.272</td>\n",
       "      <td>64.588</td>\n",
       "      <td>37.976</td>\n",
       "      <td>57.822</td>\n",
       "      <td>34.981</td>\n",
       "      <td>62.692</td>\n",
       "      <td>54.525</td>\n",
       "      <td>71.157</td>\n",
       "      <td>50.084</td>\n",
       "      <td>67.920</td>\n",
       "      <td>13.217</td>\n",
       "      <td>80.623</td>\n",
       "      <td>46.635</td>\n",
       "      <td>47.291</td>\n",
       "      <td>35.944</td>\n",
       "      <td>74.608</td>\n",
       "      <td>24.876</td>\n",
       "      <td>44.153</td>\n",
       "      <td>17.627</td>\n",
       "      <td>59.838</td>\n",
       "      <td>23.165</td>\n",
       "      <td>60.779</td>\n",
       "      <td>37.871</td>\n",
       "      <td>48.346</td>\n",
       "      <td>32.153</td>\n",
       "      <td>71.343</td>\n",
       "      <td>54.288</td>\n",
       "      <td>41.892</td>\n",
       "      <td>39.955</td>\n",
       "      <td>44.738</td>\n",
       "      <td>52.367</td>\n",
       "      <td>57.191</td>\n",
       "      <td>66.007</td>\n",
       "      <td>61.910</td>\n",
       "      <td>4.274</td>\n",
       "      <td>57.064</td>\n",
       "      <td>42.520</td>\n",
       "      <td>95.393</td>\n",
       "      <td>34.861</td>\n",
       "      <td>7.562</td>\n",
       "      <td>35.527</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1618170302880</td>\n",
       "      <td>2880</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.700</td>\n",
       "      <td>37.743</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.715</td>\n",
       "      <td>58.328</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.604</td>\n",
       "      <td>38.105</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.770</td>\n",
       "      <td>35.093</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.713</td>\n",
       "      <td>54.588</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.225</td>\n",
       "      <td>50.106</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>67.974</td>\n",
       "      <td>13.313</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.671</td>\n",
       "      <td>46.693</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>47.145</td>\n",
       "      <td>36.211</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.627</td>\n",
       "      <td>24.897</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.258</td>\n",
       "      <td>17.668</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>59.985</td>\n",
       "      <td>23.195</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.889</td>\n",
       "      <td>37.848</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.387</td>\n",
       "      <td>32.188</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.569</td>\n",
       "      <td>54.281</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.929</td>\n",
       "      <td>40.009</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.405</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.324</td>\n",
       "      <td>66.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>62.028</td>\n",
       "      <td>4.301</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.154</td>\n",
       "      <td>42.565</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.345</td>\n",
       "      <td>34.868</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.619</td>\n",
       "      <td>35.535</td>\n",
       "      <td>42.94</td>\n",
       "      <td>42.25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2880</td>\n",
       "      <td>72</td>\n",
       "      <td>2.285535e+09</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2b57rbw94i9ohnbch52owvqtq</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.065</td>\n",
       "      <td>36.448</td>\n",
       "      <td>1.618170e+12</td>\n",
       "      <td>2021-04-12T06:41:56Z</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Back</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>141.0</td>\n",
       "      <td>69.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>212.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>213.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0.00001902</td>\n",
       "      <td>2.861894e+09</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9ajh8tm9rl0i2sa09c9dfu0h5</td>\n",
       "      <td>J. Hendry</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>871279.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2700.0</td>\n",
       "      <td>40.95</td>\n",
       "      <td>47.192</td>\n",
       "      <td>67.979092</td>\n",
       "      <td>27.751225</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.028202</td>\n",
       "      <td>40.95</td>\n",
       "      <td>47.192</td>\n",
       "      <td>73.700</td>\n",
       "      <td>37.743</td>\n",
       "      <td>73.715</td>\n",
       "      <td>58.328</td>\n",
       "      <td>64.604</td>\n",
       "      <td>38.105</td>\n",
       "      <td>57.770</td>\n",
       "      <td>35.093</td>\n",
       "      <td>62.713</td>\n",
       "      <td>54.588</td>\n",
       "      <td>71.225</td>\n",
       "      <td>50.106</td>\n",
       "      <td>67.974</td>\n",
       "      <td>13.313</td>\n",
       "      <td>80.671</td>\n",
       "      <td>46.693</td>\n",
       "      <td>47.145</td>\n",
       "      <td>36.211</td>\n",
       "      <td>74.627</td>\n",
       "      <td>24.897</td>\n",
       "      <td>44.258</td>\n",
       "      <td>17.668</td>\n",
       "      <td>59.985</td>\n",
       "      <td>23.195</td>\n",
       "      <td>60.889</td>\n",
       "      <td>37.848</td>\n",
       "      <td>48.387</td>\n",
       "      <td>32.188</td>\n",
       "      <td>71.569</td>\n",
       "      <td>54.281</td>\n",
       "      <td>41.929</td>\n",
       "      <td>40.009</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.405</td>\n",
       "      <td>57.324</td>\n",
       "      <td>66.000</td>\n",
       "      <td>62.028</td>\n",
       "      <td>4.301</td>\n",
       "      <td>57.154</td>\n",
       "      <td>42.565</td>\n",
       "      <td>95.345</td>\n",
       "      <td>34.868</td>\n",
       "      <td>7.619</td>\n",
       "      <td>35.535</td>\n",
       "      <td>player9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1618170302920</td>\n",
       "      <td>2920</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.730</td>\n",
       "      <td>37.787</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.707</td>\n",
       "      <td>58.385</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.617</td>\n",
       "      <td>38.235</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.720</td>\n",
       "      <td>35.206</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.727</td>\n",
       "      <td>54.654</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.285</td>\n",
       "      <td>50.132</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>68.024</td>\n",
       "      <td>13.416</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.716</td>\n",
       "      <td>46.754</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>46.995</td>\n",
       "      <td>36.476</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.645</td>\n",
       "      <td>24.920</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.362</td>\n",
       "      <td>17.717</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>60.130</td>\n",
       "      <td>23.228</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.998</td>\n",
       "      <td>37.824</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.429</td>\n",
       "      <td>32.223</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.790</td>\n",
       "      <td>54.272</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.963</td>\n",
       "      <td>40.062</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.742</td>\n",
       "      <td>52.446</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.457</td>\n",
       "      <td>65.991</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>62.144</td>\n",
       "      <td>4.329</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.245</td>\n",
       "      <td>42.611</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.298</td>\n",
       "      <td>34.875</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.677</td>\n",
       "      <td>35.542</td>\n",
       "      <td>43.13</td>\n",
       "      <td>42.79</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2920</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.730</td>\n",
       "      <td>37.787</td>\n",
       "      <td>73.707</td>\n",
       "      <td>58.385</td>\n",
       "      <td>64.617</td>\n",
       "      <td>38.235</td>\n",
       "      <td>57.720</td>\n",
       "      <td>35.206</td>\n",
       "      <td>62.727</td>\n",
       "      <td>54.654</td>\n",
       "      <td>71.285</td>\n",
       "      <td>50.132</td>\n",
       "      <td>68.024</td>\n",
       "      <td>13.416</td>\n",
       "      <td>80.716</td>\n",
       "      <td>46.754</td>\n",
       "      <td>46.995</td>\n",
       "      <td>36.476</td>\n",
       "      <td>74.645</td>\n",
       "      <td>24.920</td>\n",
       "      <td>44.362</td>\n",
       "      <td>17.717</td>\n",
       "      <td>60.130</td>\n",
       "      <td>23.228</td>\n",
       "      <td>60.998</td>\n",
       "      <td>37.824</td>\n",
       "      <td>48.429</td>\n",
       "      <td>32.223</td>\n",
       "      <td>71.790</td>\n",
       "      <td>54.272</td>\n",
       "      <td>41.963</td>\n",
       "      <td>40.062</td>\n",
       "      <td>44.742</td>\n",
       "      <td>52.446</td>\n",
       "      <td>57.457</td>\n",
       "      <td>65.991</td>\n",
       "      <td>62.144</td>\n",
       "      <td>4.329</td>\n",
       "      <td>57.245</td>\n",
       "      <td>42.611</td>\n",
       "      <td>95.298</td>\n",
       "      <td>34.875</td>\n",
       "      <td>7.677</td>\n",
       "      <td>35.542</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1618170302960</td>\n",
       "      <td>2960</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.760</td>\n",
       "      <td>37.832</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.693</td>\n",
       "      <td>58.443</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.628</td>\n",
       "      <td>38.366</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.671</td>\n",
       "      <td>35.320</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.736</td>\n",
       "      <td>54.722</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.339</td>\n",
       "      <td>50.160</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>68.069</td>\n",
       "      <td>13.527</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.758</td>\n",
       "      <td>46.819</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>46.841</td>\n",
       "      <td>36.740</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.661</td>\n",
       "      <td>24.943</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.466</td>\n",
       "      <td>17.774</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>60.274</td>\n",
       "      <td>23.263</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>61.106</td>\n",
       "      <td>37.801</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.470</td>\n",
       "      <td>32.258</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>72.008</td>\n",
       "      <td>54.263</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.994</td>\n",
       "      <td>40.112</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.747</td>\n",
       "      <td>52.490</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.590</td>\n",
       "      <td>65.981</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>62.260</td>\n",
       "      <td>4.358</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.338</td>\n",
       "      <td>42.660</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.252</td>\n",
       "      <td>34.882</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.735</td>\n",
       "      <td>35.549</td>\n",
       "      <td>43.30</td>\n",
       "      <td>43.26</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2960</td>\n",
       "      <td>74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.760</td>\n",
       "      <td>37.832</td>\n",
       "      <td>73.693</td>\n",
       "      <td>58.443</td>\n",
       "      <td>64.628</td>\n",
       "      <td>38.366</td>\n",
       "      <td>57.671</td>\n",
       "      <td>35.320</td>\n",
       "      <td>62.736</td>\n",
       "      <td>54.722</td>\n",
       "      <td>71.339</td>\n",
       "      <td>50.160</td>\n",
       "      <td>68.069</td>\n",
       "      <td>13.527</td>\n",
       "      <td>80.758</td>\n",
       "      <td>46.819</td>\n",
       "      <td>46.841</td>\n",
       "      <td>36.740</td>\n",
       "      <td>74.661</td>\n",
       "      <td>24.943</td>\n",
       "      <td>44.466</td>\n",
       "      <td>17.774</td>\n",
       "      <td>60.274</td>\n",
       "      <td>23.263</td>\n",
       "      <td>61.106</td>\n",
       "      <td>37.801</td>\n",
       "      <td>48.470</td>\n",
       "      <td>32.258</td>\n",
       "      <td>72.008</td>\n",
       "      <td>54.263</td>\n",
       "      <td>41.994</td>\n",
       "      <td>40.112</td>\n",
       "      <td>44.747</td>\n",
       "      <td>52.490</td>\n",
       "      <td>57.590</td>\n",
       "      <td>65.981</td>\n",
       "      <td>62.260</td>\n",
       "      <td>4.358</td>\n",
       "      <td>57.338</td>\n",
       "      <td>42.660</td>\n",
       "      <td>95.252</td>\n",
       "      <td>34.882</td>\n",
       "      <td>7.735</td>\n",
       "      <td>35.549</td>\n",
       "      <td>tbd</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 262 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        timestamp  time_of_current_half  half_indicator  match_not_in_play  \\\n",
       "0   1618170300000                     0               1                  0   \n",
       "1   1618170300040                    40               1                  0   \n",
       "2   1618170300080                    80               1                  0   \n",
       "3   1618170300120                   120               1                  0   \n",
       "4   1618170300160                   160               1                  0   \n",
       "..            ...                   ...             ...                ...   \n",
       "70  1618170302800                  2800               1                  0   \n",
       "71  1618170302840                  2840               1                  0   \n",
       "72  1618170302880                  2880               1                  0   \n",
       "73  1618170302920                  2920               1                  0   \n",
       "74  1618170302960                  2960               1                  0   \n",
       "\n",
       "    player_1_teamId  player_1_objectId  player_1_jerseyNum  player_1_x_x  \\\n",
       "0                 0             354626                   4        73.662   \n",
       "1                 0             354626                   4        73.687   \n",
       "2                 0             354626                   4        73.712   \n",
       "3                 0             354626                   4        73.738   \n",
       "4                 0             354626                   4        73.764   \n",
       "..              ...                ...                 ...           ...   \n",
       "70                0             354626                   4        73.641   \n",
       "71                0             354626                   4        73.670   \n",
       "72                0             354626                   4        73.700   \n",
       "73                0             354626                   4        73.730   \n",
       "74                0             354626                   4        73.760   \n",
       "\n",
       "    player_1_y_x  player_2_teamId  player_2_objectId  player_2_jerseyNum  \\\n",
       "0         37.017                0             466925                   5   \n",
       "1         37.030                0             466925                   5   \n",
       "2         37.043                0             466925                   5   \n",
       "3         37.055                0             466925                   5   \n",
       "4         37.068                0             466925                   5   \n",
       "..           ...              ...                ...                 ...   \n",
       "70        37.653                0             466925                   5   \n",
       "71        37.698                0             466925                   5   \n",
       "72        37.743                0             466925                   5   \n",
       "73        37.787                0             466925                   5   \n",
       "74        37.832                0             466925                   5   \n",
       "\n",
       "    player_2_x_x  player_2_y_x  player_3_teamId  player_3_objectId  \\\n",
       "0         71.057        58.949                0             536323   \n",
       "1         71.108        58.932                0             536323   \n",
       "2         71.159        58.914                0             536323   \n",
       "3         71.208        58.897                0             536323   \n",
       "4         71.258        58.880                0             536323   \n",
       "..           ...           ...              ...                ...   \n",
       "70        73.714        58.217                0             536323   \n",
       "71        73.717        58.272                0             536323   \n",
       "72        73.715        58.328                0             536323   \n",
       "73        73.707        58.385                0             536323   \n",
       "74        73.693        58.443                0             536323   \n",
       "\n",
       "    player_3_jerseyNum  player_3_x_x  player_3_y_x  player_4_teamId  \\\n",
       "0                   16        64.404        33.888                0   \n",
       "1                   16        64.428        33.985                0   \n",
       "2                   16        64.451        34.082                0   \n",
       "3                   16        64.473        34.177                0   \n",
       "4                   16        64.495        34.270                0   \n",
       "..                 ...           ...           ...              ...   \n",
       "70                  16        64.572        37.848                0   \n",
       "71                  16        64.588        37.976                0   \n",
       "72                  16        64.604        38.105                0   \n",
       "73                  16        64.617        38.235                0   \n",
       "74                  16        64.628        38.366                0   \n",
       "\n",
       "    player_4_objectId  player_4_jerseyNum  player_4_x_x  player_4_y_x  \\\n",
       "0              554722                   8        64.224        33.844   \n",
       "1              554722                   8        64.125        33.811   \n",
       "2              554722                   8        64.027        33.776   \n",
       "3              554722                   8        63.928        33.741   \n",
       "4              554722                   8        63.830        33.704   \n",
       "..                ...                 ...           ...           ...   \n",
       "70             554722                   8        57.876        34.869   \n",
       "71             554722                   8        57.822        34.981   \n",
       "72             554722                   8        57.770        35.093   \n",
       "73             554722                   8        57.720        35.206   \n",
       "74             554722                   8        57.671        35.320   \n",
       "\n",
       "    player_5_teamId  player_5_objectId  player_5_jerseyNum  player_5_x_x  \\\n",
       "0                 0             593009                  92        57.683   \n",
       "1                 0             593009                  92        57.690   \n",
       "2                 0             593009                  92        57.698   \n",
       "3                 0             593009                  92        57.705   \n",
       "4                 0             593009                  92        57.713   \n",
       "..              ...                ...                 ...           ...   \n",
       "70                0             593009                  92        62.664   \n",
       "71                0             593009                  92        62.692   \n",
       "72                0             593009                  92        62.713   \n",
       "73                0             593009                  92        62.727   \n",
       "74                0             593009                  92        62.736   \n",
       "\n",
       "    player_5_y_x  player_6_teamId  player_6_objectId  player_6_jerseyNum  \\\n",
       "0         50.663                0             606682                  18   \n",
       "1         50.682                0             606682                  18   \n",
       "2         50.701                0             606682                  18   \n",
       "3         50.721                0             606682                  18   \n",
       "4         50.742                0             606682                  18   \n",
       "..           ...              ...                ...                 ...   \n",
       "70        54.464                0             606682                  18   \n",
       "71        54.525                0             606682                  18   \n",
       "72        54.588                0             606682                  18   \n",
       "73        54.654                0             606682                  18   \n",
       "74        54.722                0             606682                  18   \n",
       "\n",
       "    player_6_x_x  player_6_y_x  player_7_teamId  player_7_objectId  \\\n",
       "0         66.209        47.268                0             789193   \n",
       "1         66.214        47.303                0             789193   \n",
       "2         66.219        47.335                0             789193   \n",
       "3         66.224        47.364                0             789193   \n",
       "4         66.229        47.391                0             789193   \n",
       "..           ...           ...              ...                ...   \n",
       "70        71.084        50.064                0             789193   \n",
       "71        71.157        50.084                0             789193   \n",
       "72        71.225        50.106                0             789193   \n",
       "73        71.285        50.132                0             789193   \n",
       "74        71.339        50.160                0             789193   \n",
       "\n",
       "    player_7_jerseyNum  player_7_x_x  player_7_y_x  player_8_teamId  \\\n",
       "0                   15        62.236        13.515                0   \n",
       "1                   15        62.295        13.516                0   \n",
       "2                   15        62.354        13.517                0   \n",
       "3                   15        62.413        13.518                0   \n",
       "4                   15        62.472        13.519                0   \n",
       "..                 ...           ...           ...              ...   \n",
       "70                  15        67.863        13.129                0   \n",
       "71                  15        67.920        13.217                0   \n",
       "72                  15        67.974        13.313                0   \n",
       "73                  15        68.024        13.416                0   \n",
       "74                  15        68.069        13.527                0   \n",
       "\n",
       "    player_8_objectId  player_8_jerseyNum  player_8_x_x  player_8_y_x  \\\n",
       "0              968671                  55        78.175        45.493   \n",
       "1              968671                  55        78.174        45.492   \n",
       "2              968671                  55        78.173        45.491   \n",
       "3              968671                  55        78.173        45.491   \n",
       "4              968671                  55        78.173        45.491   \n",
       "..                ...                 ...           ...           ...   \n",
       "70             968671                  55        80.573        46.582   \n",
       "71             968671                  55        80.623        46.635   \n",
       "72             968671                  55        80.671        46.693   \n",
       "73             968671                  55        80.716        46.754   \n",
       "74             968671                  55        80.758        46.819   \n",
       "\n",
       "    player_9_teamId  player_9_objectId  player_9_jerseyNum  player_9_x_x  \\\n",
       "0                 0            1102488                   7        53.960   \n",
       "1                 0            1102488                   7        53.882   \n",
       "2                 0            1102488                   7        53.806   \n",
       "3                 0            1102488                   7        53.729   \n",
       "4                 0            1102488                   7        53.654   \n",
       "..              ...                ...                 ...           ...   \n",
       "70                0            1102488                   7        47.434   \n",
       "71                0            1102488                   7        47.291   \n",
       "72                0            1102488                   7        47.145   \n",
       "73                0            1102488                   7        46.995   \n",
       "74                0            1102488                   7        46.841   \n",
       "\n",
       "    player_9_y_x  player_10_teamId  player_10_objectId  player_10_jerseyNum  \\\n",
       "0         25.734                 0             1108110                    2   \n",
       "1         25.801                 0             1108110                    2   \n",
       "2         25.859                 0             1108110                    2   \n",
       "3         25.908                 0             1108110                    2   \n",
       "4         25.949                 0             1108110                    2   \n",
       "..           ...               ...                 ...                  ...   \n",
       "70        35.676                 0             1108110                    2   \n",
       "71        35.944                 0             1108110                    2   \n",
       "72        36.211                 0             1108110                    2   \n",
       "73        36.476                 0             1108110                    2   \n",
       "74        36.740                 0             1108110                    2   \n",
       "\n",
       "    player_10_x_x  player_10_y_x  player_11_teamId  player_11_objectId  \\\n",
       "0          72.800         25.964                 1              356560   \n",
       "1          72.851         25.956                 1              356560   \n",
       "2          72.901         25.948                 1              356560   \n",
       "3          72.950         25.938                 1              356560   \n",
       "4          72.998         25.928                 1              356560   \n",
       "..            ...            ...               ...                 ...   \n",
       "70         74.587         24.854                 1              356560   \n",
       "71         74.608         24.876                 1              356560   \n",
       "72         74.627         24.897                 1              356560   \n",
       "73         74.645         24.920                 1              356560   \n",
       "74         74.661         24.943                 1              356560   \n",
       "\n",
       "    player_11_jerseyNum  player_11_x_x  player_11_y_x  player_12_teamId  \\\n",
       "0                    27         40.913         23.519                 1   \n",
       "1                    27         40.913         23.575                 1   \n",
       "2                    27         40.914         23.610                 1   \n",
       "3                    27         40.916         23.625                 1   \n",
       "4                    27         40.919         23.620                 1   \n",
       "..                  ...            ...            ...               ...   \n",
       "70                   27         44.049         17.593                 1   \n",
       "71                   27         44.153         17.627                 1   \n",
       "72                   27         44.258         17.668                 1   \n",
       "73                   27         44.362         17.717                 1   \n",
       "74                   27         44.466         17.774                 1   \n",
       "\n",
       "    player_12_objectId  player_12_jerseyNum  player_12_x_x  player_12_y_x  \\\n",
       "0               733561                   26         51.211         23.229   \n",
       "1               733561                   26         51.264         23.294   \n",
       "2               733561                   26         51.317         23.351   \n",
       "3               733561                   26         51.369         23.401   \n",
       "4               733561                   26         51.422         23.444   \n",
       "..                 ...                  ...            ...            ...   \n",
       "70              733561                   26         59.689         23.137   \n",
       "71              733561                   26         59.838         23.165   \n",
       "72              733561                   26         59.985         23.195   \n",
       "73              733561                   26         60.130         23.228   \n",
       "74              733561                   26         60.274         23.263   \n",
       "\n",
       "    player_13_teamId  player_13_objectId  player_13_jerseyNum  player_13_x_x  \\\n",
       "0                  1              743228                   17         52.636   \n",
       "1                  1              743228                   17         52.695   \n",
       "2                  1              743228                   17         52.755   \n",
       "3                  1              743228                   17         52.816   \n",
       "4                  1              743228                   17         52.879   \n",
       "..               ...                 ...                  ...            ...   \n",
       "70                 1              743228                   17         60.667   \n",
       "71                 1              743228                   17         60.779   \n",
       "72                 1              743228                   17         60.889   \n",
       "73                 1              743228                   17         60.998   \n",
       "74                 1              743228                   17         61.106   \n",
       "\n",
       "    player_13_y_x  player_14_teamId  player_14_objectId  player_14_jerseyNum  \\\n",
       "0          35.883                 1              752504                    6   \n",
       "1          35.954                 1              752504                    6   \n",
       "2          36.026                 1              752504                    6   \n",
       "3          36.097                 1              752504                    6   \n",
       "4          36.167                 1              752504                    6   \n",
       "..            ...               ...                 ...                  ...   \n",
       "70         37.894                 1              752504                    6   \n",
       "71         37.871                 1              752504                    6   \n",
       "72         37.848                 1              752504                    6   \n",
       "73         37.824                 1              752504                    6   \n",
       "74         37.801                 1              752504                    6   \n",
       "\n",
       "    player_14_x_x  player_14_y_x  player_15_teamId  player_15_objectId  \\\n",
       "0          46.126         30.051                 1              794887   \n",
       "1          46.146         30.102                 1              794887   \n",
       "2          46.165         30.153                 1              794887   \n",
       "3          46.185         30.202                 1              794887   \n",
       "4          46.204         30.251                 1              794887   \n",
       "..            ...            ...               ...                 ...   \n",
       "70         48.304         32.116                 1              794887   \n",
       "71         48.346         32.153                 1              794887   \n",
       "72         48.387         32.188                 1              794887   \n",
       "73         48.429         32.223                 1              794887   \n",
       "74         48.470         32.258                 1              794887   \n",
       "\n",
       "    player_15_jerseyNum  player_15_x_x  player_15_y_x  player_16_teamId  \\\n",
       "0                    21         53.199         53.248                 1   \n",
       "1                    21         53.405         53.319                 1   \n",
       "2                    21         53.611         53.387                 1   \n",
       "3                    21         53.817         53.452                 1   \n",
       "4                    21         54.024         53.513                 1   \n",
       "..                  ...            ...            ...               ...   \n",
       "70                   21         71.114         54.295                 1   \n",
       "71                   21         71.343         54.288                 1   \n",
       "72                   21         71.569         54.281                 1   \n",
       "73                   21         71.790         54.272                 1   \n",
       "74                   21         72.008         54.263                 1   \n",
       "\n",
       "    player_16_objectId  player_16_jerseyNum  player_16_x_x  player_16_y_x  \\\n",
       "0               871279                    4         41.628         38.497   \n",
       "1               871279                    4         41.450         38.568   \n",
       "2               871279                    4         41.287         38.634   \n",
       "3               871279                    4         41.141         38.694   \n",
       "4               871279                    4         41.011         38.750   \n",
       "..                 ...                  ...            ...            ...   \n",
       "70              871279                    4         41.853         39.899   \n",
       "71              871279                    4         41.892         39.955   \n",
       "72              871279                    4         41.929         40.009   \n",
       "73              871279                    4         41.963         40.062   \n",
       "74              871279                    4         41.994         40.112   \n",
       "\n",
       "    player_17_teamId  player_17_objectId  player_17_jerseyNum  player_17_x_x  \\\n",
       "0                  1              973617                    5         43.109   \n",
       "1                  1              973617                    5         43.177   \n",
       "2                  1              973617                    5         43.244   \n",
       "3                  1              973617                    5         43.310   \n",
       "4                  1              973617                    5         43.375   \n",
       "..               ...                 ...                  ...            ...   \n",
       "70                 1              973617                    5         44.739   \n",
       "71                 1              973617                    5         44.738   \n",
       "72                 1              973617                    5         44.739   \n",
       "73                 1              973617                    5         44.742   \n",
       "74                 1              973617                    5         44.747   \n",
       "\n",
       "    player_17_y_x  player_18_teamId  player_18_objectId  player_18_jerseyNum  \\\n",
       "0          49.299                 1             1061319                   29   \n",
       "1          49.351                 1             1061319                   29   \n",
       "2          49.402                 1             1061319                   29   \n",
       "3          49.455                 1             1061319                   29   \n",
       "4          49.507                 1             1061319                   29   \n",
       "..            ...               ...                 ...                  ...   \n",
       "70         52.333                 1             1061319                   29   \n",
       "71         52.367                 1             1061319                   29   \n",
       "72         52.405                 1             1061319                   29   \n",
       "73         52.446                 1             1061319                   29   \n",
       "74         52.490                 1             1061319                   29   \n",
       "\n",
       "    player_18_x_x  player_18_y_x  player_19_teamId  player_19_objectId  \\\n",
       "0          50.017         65.675                 1             1061321   \n",
       "1          50.075         65.756                 1             1061321   \n",
       "2          50.134         65.834                 1             1061321   \n",
       "3          50.194         65.907                 1             1061321   \n",
       "4          50.254         65.976                 1             1061321   \n",
       "..            ...            ...               ...                 ...   \n",
       "70         57.058         66.011                 1             1061321   \n",
       "71         57.191         66.007                 1             1061321   \n",
       "72         57.324         66.000                 1             1061321   \n",
       "73         57.457         65.991                 1             1061321   \n",
       "74         57.590         65.981                 1             1061321   \n",
       "\n",
       "    player_19_jerseyNum  player_19_x_x  player_19_y_x  player_20_teamId  \\\n",
       "0                    25         53.052          4.563                 1   \n",
       "1                    25         53.152          4.543                 1   \n",
       "2                    25         53.253          4.521                 1   \n",
       "3                    25         53.354          4.499                 1   \n",
       "4                    25         53.456          4.475                 1   \n",
       "..                  ...            ...            ...               ...   \n",
       "70                   25         61.791          4.248                 1   \n",
       "71                   25         61.910          4.274                 1   \n",
       "72                   25         62.028          4.301                 1   \n",
       "73                   25         62.144          4.329                 1   \n",
       "74                   25         62.260          4.358                 1   \n",
       "\n",
       "    player_20_objectId  player_20_jerseyNum  player_20_x_x  player_20_y_x  \\\n",
       "0              1107910                   34         52.170         42.621   \n",
       "1              1107910                   34         52.198         42.571   \n",
       "2              1107910                   34         52.227         42.523   \n",
       "3              1107910                   34         52.257         42.477   \n",
       "4              1107910                   34         52.289         42.433   \n",
       "..                 ...                  ...            ...            ...   \n",
       "70             1107910                   34         56.975         42.478   \n",
       "71             1107910                   34         57.064         42.520   \n",
       "72             1107910                   34         57.154         42.565   \n",
       "73             1107910                   34         57.245         42.611   \n",
       "74             1107910                   34         57.338         42.660   \n",
       "\n",
       "    player_21_teamId  player_21_objectId  player_21_jerseyNum  player_21_x_x  \\\n",
       "0                  3              465460                   31         99.751   \n",
       "1                  3              465460                   31         99.714   \n",
       "2                  3              465460                   31         99.677   \n",
       "3                  3              465460                   31         99.640   \n",
       "4                  3              465460                   31         99.603   \n",
       "..               ...                 ...                  ...            ...   \n",
       "70                 3              465460                   31         95.442   \n",
       "71                 3              465460                   31         95.393   \n",
       "72                 3              465460                   31         95.345   \n",
       "73                 3              465460                   31         95.298   \n",
       "74                 3              465460                   31         95.252   \n",
       "\n",
       "    player_21_y_x  player_22_teamId  player_22_objectId  player_22_jerseyNum  \\\n",
       "0          35.691               4.0            606868.0                 28.0   \n",
       "1          35.704               4.0            606868.0                 28.0   \n",
       "2          35.717               4.0            606868.0                 28.0   \n",
       "3          35.730               4.0            606868.0                 28.0   \n",
       "4          35.744               4.0            606868.0                 28.0   \n",
       "..            ...               ...                 ...                  ...   \n",
       "70         34.854               4.0            606868.0                 28.0   \n",
       "71         34.861               4.0            606868.0                 28.0   \n",
       "72         34.868               4.0            606868.0                 28.0   \n",
       "73         34.875               4.0            606868.0                 28.0   \n",
       "74         34.882               4.0            606868.0                 28.0   \n",
       "\n",
       "    player_22_x_x  player_22_y_x  ball_x  ball_y  ball_z  timeMilliSec  \\\n",
       "0           3.522         35.925   52.61   37.47   0.000             0   \n",
       "1           3.502         36.013   52.12   37.55   0.071            40   \n",
       "2           3.494         36.086   51.62   37.63   0.126            80   \n",
       "3           3.497         36.143   51.12   37.71   0.165           120   \n",
       "4           3.510         36.186   50.63   37.79   0.188           160   \n",
       "..            ...            ...     ...     ...     ...           ...   \n",
       "70          7.506         35.518   42.66   41.06   0.000          2800   \n",
       "71          7.562         35.527   42.79   41.56   0.000          2840   \n",
       "72          7.619         35.535   42.94   42.25   0.000          2880   \n",
       "73          7.677         35.542   43.13   42.79   0.000          2920   \n",
       "74          7.735         35.549   43.30   43.26   0.000          2960   \n",
       "\n",
       "    frame_id            id  eventId  typeId  periodId  timeMin  timeSec  \\\n",
       "0          0  2.285535e+09      3.0     1.0       1.0      0.0      0.0   \n",
       "1          1           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "2          2           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "3          3           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "4          4           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "..       ...           ...      ...     ...       ...      ...      ...   \n",
       "70        70           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "71        71           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "72        72  2.285535e+09      4.0     1.0       1.0      0.0      3.0   \n",
       "73        73           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "74        74           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "\n",
       "                 contestantId  outcome       x       y     timeStamp  \\\n",
       "0   2b57rbw94i9ohnbch52owvqtq      1.0  52.500  34.000  1.618170e+12   \n",
       "1                         NaN      NaN     NaN     NaN           NaN   \n",
       "2                         NaN      NaN     NaN     NaN           NaN   \n",
       "3                         NaN      NaN     NaN     NaN           NaN   \n",
       "4                         NaN      NaN     NaN     NaN           NaN   \n",
       "..                        ...      ...     ...     ...           ...   \n",
       "70                        NaN      NaN     NaN     NaN           NaN   \n",
       "71                        NaN      NaN     NaN     NaN           NaN   \n",
       "72  2b57rbw94i9ohnbch52owvqtq      1.0  37.065  36.448  1.618170e+12   \n",
       "73                        NaN      NaN     NaN     NaN           NaN   \n",
       "74                        NaN      NaN     NaN     NaN           NaN   \n",
       "\n",
       "            lastModified  qualifier_0_id  qualifier_0_qualifierId  \\\n",
       "0   2021-04-12T06:41:52Z    2.861039e+09                     56.0   \n",
       "1                    NaN             NaN                      NaN   \n",
       "2                    NaN             NaN                      NaN   \n",
       "3                    NaN             NaN                      NaN   \n",
       "4                    NaN             NaN                      NaN   \n",
       "..                   ...             ...                      ...   \n",
       "70                   NaN             NaN                      NaN   \n",
       "71                   NaN             NaN                      NaN   \n",
       "72  2021-04-12T06:41:56Z    2.861039e+09                     56.0   \n",
       "73                   NaN             NaN                      NaN   \n",
       "74                   NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_0_value  qualifier_1_id  qualifier_1_qualifierId  \\\n",
       "0               Back    2.861039e+09                    140.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              Back    2.861039e+09                    140.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_1_value  qualifier_2_id  qualifier_2_qualifierId  \\\n",
       "0               35.2    2.861039e+09                    141.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              39.0    2.861039e+09                    141.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_2_value  qualifier_3_id  qualifier_3_qualifierId  \\\n",
       "0               53.4    2.861039e+09                    212.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              69.4    2.861039e+09                    212.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_3_value  qualifier_4_id  qualifier_4_qualifierId  \\\n",
       "0               15.7    2.861039e+09                    213.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              11.4    2.861039e+09                    213.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_4_value  qualifier_5_id  qualifier_5_qualifierId  \\\n",
       "0                3.0    2.861039e+09                    279.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72               1.2    2.861039e+09                    318.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_5_value  qualifier_6_id  qualifier_6_qualifierId  \\\n",
       "0                  S    2.861039e+09                    318.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72        0.00001902    2.861894e+09                    178.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_6_value  qualifier_7_id  qualifier_7_qualifierId  \\\n",
       "0         0.00002164    2.861894e+09                    178.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72               NaN             NaN                      NaN   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_7_value                   playerId    playerName  sequenceId  \\\n",
       "0                NaN  1d2fpmtdglpqwyhnc657n77it  A. Hjulsager         1.0   \n",
       "1                NaN                        NaN           NaN         NaN   \n",
       "2                NaN                        NaN           NaN         NaN   \n",
       "3                NaN                        NaN           NaN         NaN   \n",
       "4                NaN                        NaN           NaN         NaN   \n",
       "..               ...                        ...           ...         ...   \n",
       "70               NaN                        NaN           NaN         NaN   \n",
       "71               NaN                        NaN           NaN         NaN   \n",
       "72               NaN  9ajh8tm9rl0i2sa09c9dfu0h5     J. Hendry         1.0   \n",
       "73               NaN                        NaN           NaN         NaN   \n",
       "74               NaN                        NaN           NaN         NaN   \n",
       "\n",
       "    possessionId  qualifier_8_id  qualifier_8_qualifierId qualifier_8_value  \\\n",
       "0            1.0             NaN                      NaN               NaN   \n",
       "1            NaN             NaN                      NaN               NaN   \n",
       "2            NaN             NaN                      NaN               NaN   \n",
       "3            NaN             NaN                      NaN               NaN   \n",
       "4            NaN             NaN                      NaN               NaN   \n",
       "..           ...             ...                      ...               ...   \n",
       "70           NaN             NaN                      NaN               NaN   \n",
       "71           NaN             NaN                      NaN               NaN   \n",
       "72           1.0             NaN                      NaN               NaN   \n",
       "73           NaN             NaN                      NaN               NaN   \n",
       "74           NaN             NaN                      NaN               NaN   \n",
       "\n",
       "    qualifier_9_id  qualifier_9_qualifierId  qualifier_10_id  \\\n",
       "0              NaN                      NaN              NaN   \n",
       "1              NaN                      NaN              NaN   \n",
       "2              NaN                      NaN              NaN   \n",
       "3              NaN                      NaN              NaN   \n",
       "4              NaN                      NaN              NaN   \n",
       "..             ...                      ...              ...   \n",
       "70             NaN                      NaN              NaN   \n",
       "71             NaN                      NaN              NaN   \n",
       "72             NaN                      NaN              NaN   \n",
       "73             NaN                      NaN              NaN   \n",
       "74             NaN                      NaN              NaN   \n",
       "\n",
       "    qualifier_10_qualifierId  qualifier_11_id  qualifier_11_qualifierId  \\\n",
       "0                        NaN              NaN                       NaN   \n",
       "1                        NaN              NaN                       NaN   \n",
       "2                        NaN              NaN                       NaN   \n",
       "3                        NaN              NaN                       NaN   \n",
       "4                        NaN              NaN                       NaN   \n",
       "..                       ...              ...                       ...   \n",
       "70                       NaN              NaN                       NaN   \n",
       "71                       NaN              NaN                       NaN   \n",
       "72                       NaN              NaN                       NaN   \n",
       "73                       NaN              NaN                       NaN   \n",
       "74                       NaN              NaN                       NaN   \n",
       "\n",
       "    qualifier_12_id  qualifier_12_qualifierId  keyPass  qualifier_9_value  \\\n",
       "0               NaN                       NaN      NaN                NaN   \n",
       "1               NaN                       NaN      NaN                NaN   \n",
       "2               NaN                       NaN      NaN                NaN   \n",
       "3               NaN                       NaN      NaN                NaN   \n",
       "4               NaN                       NaN      NaN                NaN   \n",
       "..              ...                       ...      ...                ...   \n",
       "70              NaN                       NaN      NaN                NaN   \n",
       "71              NaN                       NaN      NaN                NaN   \n",
       "72              NaN                       NaN      NaN                NaN   \n",
       "73              NaN                       NaN      NaN                NaN   \n",
       "74              NaN                       NaN      NaN                NaN   \n",
       "\n",
       "    qualifier_10_value  qualifier_11_value  qualifier_13_id  \\\n",
       "0                  NaN                 NaN              NaN   \n",
       "1                  NaN                 NaN              NaN   \n",
       "2                  NaN                 NaN              NaN   \n",
       "3                  NaN                 NaN              NaN   \n",
       "4                  NaN                 NaN              NaN   \n",
       "..                 ...                 ...              ...   \n",
       "70                 NaN                 NaN              NaN   \n",
       "71                 NaN                 NaN              NaN   \n",
       "72                 NaN                 NaN              NaN   \n",
       "73                 NaN                 NaN              NaN   \n",
       "74                 NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_13_qualifierId  qualifier_13_value  qualifier_14_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_14_qualifierId  qualifier_14_value  qualifier_15_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_15_qualifierId  qualifier_12_value  qualifier_15_value  \\\n",
       "0                        NaN                 NaN                 NaN   \n",
       "1                        NaN                 NaN                 NaN   \n",
       "2                        NaN                 NaN                 NaN   \n",
       "3                        NaN                 NaN                 NaN   \n",
       "4                        NaN                 NaN                 NaN   \n",
       "..                       ...                 ...                 ...   \n",
       "70                       NaN                 NaN                 NaN   \n",
       "71                       NaN                 NaN                 NaN   \n",
       "72                       NaN                 NaN                 NaN   \n",
       "73                       NaN                 NaN                 NaN   \n",
       "74                       NaN                 NaN                 NaN   \n",
       "\n",
       "    qualifier_16_id  qualifier_16_qualifierId  qualifier_17_id  \\\n",
       "0               NaN                       NaN              NaN   \n",
       "1               NaN                       NaN              NaN   \n",
       "2               NaN                       NaN              NaN   \n",
       "3               NaN                       NaN              NaN   \n",
       "4               NaN                       NaN              NaN   \n",
       "..              ...                       ...              ...   \n",
       "70              NaN                       NaN              NaN   \n",
       "71              NaN                       NaN              NaN   \n",
       "72              NaN                       NaN              NaN   \n",
       "73              NaN                       NaN              NaN   \n",
       "74              NaN                       NaN              NaN   \n",
       "\n",
       "    qualifier_17_qualifierId  qualifier_17_value  qualifier_18_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_18_qualifierId  qualifier_18_value  qualifier_19_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_19_qualifierId  qualifier_16_value  qualifier_19_value  \\\n",
       "0                        NaN                 NaN                 NaN   \n",
       "1                        NaN                 NaN                 NaN   \n",
       "2                        NaN                 NaN                 NaN   \n",
       "3                        NaN                 NaN                 NaN   \n",
       "4                        NaN                 NaN                 NaN   \n",
       "..                       ...                 ...                 ...   \n",
       "70                       NaN                 NaN                 NaN   \n",
       "71                       NaN                 NaN                 NaN   \n",
       "72                       NaN                 NaN                 NaN   \n",
       "73                       NaN                 NaN                 NaN   \n",
       "74                       NaN                 NaN                 NaN   \n",
       "\n",
       "    qualifier_20_id  qualifier_20_qualifierId  qualifier_20_value  \\\n",
       "0               NaN                       NaN                 NaN   \n",
       "1               NaN                       NaN                 NaN   \n",
       "2               NaN                       NaN                 NaN   \n",
       "3               NaN                       NaN                 NaN   \n",
       "4               NaN                       NaN                 NaN   \n",
       "..              ...                       ...                 ...   \n",
       "70              NaN                       NaN                 NaN   \n",
       "71              NaN                       NaN                 NaN   \n",
       "72              NaN                       NaN                 NaN   \n",
       "73              NaN                       NaN                 NaN   \n",
       "74              NaN                       NaN                 NaN   \n",
       "\n",
       "    qualifier_21_id  qualifier_21_qualifierId  assist  qualifier_21_value  \\\n",
       "0               NaN                       NaN     NaN                 NaN   \n",
       "1               NaN                       NaN     NaN                 NaN   \n",
       "2               NaN                       NaN     NaN                 NaN   \n",
       "3               NaN                       NaN     NaN                 NaN   \n",
       "4               NaN                       NaN     NaN                 NaN   \n",
       "..              ...                       ...     ...                 ...   \n",
       "70              NaN                       NaN     NaN                 NaN   \n",
       "71              NaN                       NaN     NaN                 NaN   \n",
       "72              NaN                       NaN     NaN                 NaN   \n",
       "73              NaN                       NaN     NaN                 NaN   \n",
       "74              NaN                       NaN     NaN                 NaN   \n",
       "\n",
       "    qualifier_22_id  qualifier_22_qualifierId  playerTrackingId  to_sec  \\\n",
       "0               NaN                       NaN          743228.0     0.0   \n",
       "1               NaN                       NaN               NaN     NaN   \n",
       "2               NaN                       NaN               NaN     NaN   \n",
       "3               NaN                       NaN               NaN     NaN   \n",
       "4               NaN                       NaN               NaN     NaN   \n",
       "..              ...                       ...               ...     ...   \n",
       "70              NaN                       NaN               NaN     NaN   \n",
       "71              NaN                       NaN               NaN     NaN   \n",
       "72              NaN                       NaN          871279.0     3.0   \n",
       "73              NaN                       NaN               NaN     NaN   \n",
       "74              NaN                       NaN               NaN     NaN   \n",
       "\n",
       "    sec_remaining  Pass_end_x_x  Pass_end_y_x  dist_to_opponent_goal  \\\n",
       "0          2703.0         36.96        36.312              52.500000   \n",
       "1             NaN           NaN           NaN                    NaN   \n",
       "2             NaN           NaN           NaN                    NaN   \n",
       "3             NaN           NaN           NaN                    NaN   \n",
       "4             NaN           NaN           NaN                    NaN   \n",
       "..            ...           ...           ...                    ...   \n",
       "70            NaN           NaN           NaN                    NaN   \n",
       "71            NaN           NaN           NaN                    NaN   \n",
       "72         2700.0         40.95        47.192              67.979092   \n",
       "73            NaN           NaN           NaN                    NaN   \n",
       "74            NaN           NaN           NaN                    NaN   \n",
       "\n",
       "    angle_to_goal  Goal_difference_home  Goal_difference_away  distance  \\\n",
       "0        0.000000                   0.0                   0.0  1.887905   \n",
       "1             NaN                   NaN                   NaN       NaN   \n",
       "2             NaN                   NaN                   NaN       NaN   \n",
       "3             NaN                   NaN                   NaN       NaN   \n",
       "4             NaN                   NaN                   NaN       NaN   \n",
       "..            ...                   ...                   ...       ...   \n",
       "70            NaN                   NaN                   NaN       NaN   \n",
       "71            NaN                   NaN                   NaN       NaN   \n",
       "72      27.751225                   0.0                   0.0  6.028202   \n",
       "73            NaN                   NaN                   NaN       NaN   \n",
       "74            NaN                   NaN                   NaN       NaN   \n",
       "\n",
       "    Pass_end_x_y  Pass_end_y_y  player_1_x_y  player_1_y_y  player_2_x_y  \\\n",
       "0          36.96        36.312        73.662        37.017        71.057   \n",
       "1           0.00         0.000        73.687        37.030        71.108   \n",
       "2           0.00         0.000        73.712        37.043        71.159   \n",
       "3           0.00         0.000        73.738        37.055        71.208   \n",
       "4           0.00         0.000        73.764        37.068        71.258   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70          0.00         0.000        73.641        37.653        73.714   \n",
       "71          0.00         0.000        73.670        37.698        73.717   \n",
       "72         40.95        47.192        73.700        37.743        73.715   \n",
       "73          0.00         0.000        73.730        37.787        73.707   \n",
       "74          0.00         0.000        73.760        37.832        73.693   \n",
       "\n",
       "    player_2_y_y  player_3_x_y  player_3_y_y  player_4_x_y  player_4_y_y  \\\n",
       "0         58.949        64.404        33.888        64.224        33.844   \n",
       "1         58.932        64.428        33.985        64.125        33.811   \n",
       "2         58.914        64.451        34.082        64.027        33.776   \n",
       "3         58.897        64.473        34.177        63.928        33.741   \n",
       "4         58.880        64.495        34.270        63.830        33.704   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70        58.217        64.572        37.848        57.876        34.869   \n",
       "71        58.272        64.588        37.976        57.822        34.981   \n",
       "72        58.328        64.604        38.105        57.770        35.093   \n",
       "73        58.385        64.617        38.235        57.720        35.206   \n",
       "74        58.443        64.628        38.366        57.671        35.320   \n",
       "\n",
       "    player_5_x_y  player_5_y_y  player_6_x_y  player_6_y_y  player_7_x_y  \\\n",
       "0         57.683        50.663        66.209        47.268        62.236   \n",
       "1         57.690        50.682        66.214        47.303        62.295   \n",
       "2         57.698        50.701        66.219        47.335        62.354   \n",
       "3         57.705        50.721        66.224        47.364        62.413   \n",
       "4         57.713        50.742        66.229        47.391        62.472   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70        62.664        54.464        71.084        50.064        67.863   \n",
       "71        62.692        54.525        71.157        50.084        67.920   \n",
       "72        62.713        54.588        71.225        50.106        67.974   \n",
       "73        62.727        54.654        71.285        50.132        68.024   \n",
       "74        62.736        54.722        71.339        50.160        68.069   \n",
       "\n",
       "    player_7_y_y  player_8_x_y  player_8_y_y  player_9_x_y  player_9_y_y  \\\n",
       "0         13.515        78.175        45.493        53.960        25.734   \n",
       "1         13.516        78.174        45.492        53.882        25.801   \n",
       "2         13.517        78.173        45.491        53.806        25.859   \n",
       "3         13.518        78.173        45.491        53.729        25.908   \n",
       "4         13.519        78.173        45.491        53.654        25.949   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70        13.129        80.573        46.582        47.434        35.676   \n",
       "71        13.217        80.623        46.635        47.291        35.944   \n",
       "72        13.313        80.671        46.693        47.145        36.211   \n",
       "73        13.416        80.716        46.754        46.995        36.476   \n",
       "74        13.527        80.758        46.819        46.841        36.740   \n",
       "\n",
       "    player_10_x_y  player_10_y_y  player_11_x_y  player_11_y_y  player_12_x_y  \\\n",
       "0          72.800         25.964         40.913         23.519         51.211   \n",
       "1          72.851         25.956         40.913         23.575         51.264   \n",
       "2          72.901         25.948         40.914         23.610         51.317   \n",
       "3          72.950         25.938         40.916         23.625         51.369   \n",
       "4          72.998         25.928         40.919         23.620         51.422   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         74.587         24.854         44.049         17.593         59.689   \n",
       "71         74.608         24.876         44.153         17.627         59.838   \n",
       "72         74.627         24.897         44.258         17.668         59.985   \n",
       "73         74.645         24.920         44.362         17.717         60.130   \n",
       "74         74.661         24.943         44.466         17.774         60.274   \n",
       "\n",
       "    player_12_y_y  player_13_x_y  player_13_y_y  player_14_x_y  player_14_y_y  \\\n",
       "0          23.229         52.636         35.883         46.126         30.051   \n",
       "1          23.294         52.695         35.954         46.146         30.102   \n",
       "2          23.351         52.755         36.026         46.165         30.153   \n",
       "3          23.401         52.816         36.097         46.185         30.202   \n",
       "4          23.444         52.879         36.167         46.204         30.251   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         23.137         60.667         37.894         48.304         32.116   \n",
       "71         23.165         60.779         37.871         48.346         32.153   \n",
       "72         23.195         60.889         37.848         48.387         32.188   \n",
       "73         23.228         60.998         37.824         48.429         32.223   \n",
       "74         23.263         61.106         37.801         48.470         32.258   \n",
       "\n",
       "    player_15_x_y  player_15_y_y  player_16_x_y  player_16_y_y  player_17_x_y  \\\n",
       "0          53.199         53.248         41.628         38.497         43.109   \n",
       "1          53.405         53.319         41.450         38.568         43.177   \n",
       "2          53.611         53.387         41.287         38.634         43.244   \n",
       "3          53.817         53.452         41.141         38.694         43.310   \n",
       "4          54.024         53.513         41.011         38.750         43.375   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         71.114         54.295         41.853         39.899         44.739   \n",
       "71         71.343         54.288         41.892         39.955         44.738   \n",
       "72         71.569         54.281         41.929         40.009         44.739   \n",
       "73         71.790         54.272         41.963         40.062         44.742   \n",
       "74         72.008         54.263         41.994         40.112         44.747   \n",
       "\n",
       "    player_17_y_y  player_18_x_y  player_18_y_y  player_19_x_y  player_19_y_y  \\\n",
       "0          49.299         50.017         65.675         53.052          4.563   \n",
       "1          49.351         50.075         65.756         53.152          4.543   \n",
       "2          49.402         50.134         65.834         53.253          4.521   \n",
       "3          49.455         50.194         65.907         53.354          4.499   \n",
       "4          49.507         50.254         65.976         53.456          4.475   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         52.333         57.058         66.011         61.791          4.248   \n",
       "71         52.367         57.191         66.007         61.910          4.274   \n",
       "72         52.405         57.324         66.000         62.028          4.301   \n",
       "73         52.446         57.457         65.991         62.144          4.329   \n",
       "74         52.490         57.590         65.981         62.260          4.358   \n",
       "\n",
       "    player_20_x_y  player_20_y_y  player_21_x_y  player_21_y_y  player_22_x_y  \\\n",
       "0          52.170         42.621         99.751         35.691          3.522   \n",
       "1          52.198         42.571         99.714         35.704          3.502   \n",
       "2          52.227         42.523         99.677         35.717          3.494   \n",
       "3          52.257         42.477         99.640         35.730          3.497   \n",
       "4          52.289         42.433         99.603         35.744          3.510   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         56.975         42.478         95.442         34.854          7.506   \n",
       "71         57.064         42.520         95.393         34.861          7.562   \n",
       "72         57.154         42.565         95.345         34.868          7.619   \n",
       "73         57.245         42.611         95.298         34.875          7.677   \n",
       "74         57.338         42.660         95.252         34.882          7.735   \n",
       "\n",
       "    player_22_y_y closestPlayer  \n",
       "0          35.925      player11  \n",
       "1          36.013           tbd  \n",
       "2          36.086           tbd  \n",
       "3          36.143           tbd  \n",
       "4          36.186           tbd  \n",
       "..            ...           ...  \n",
       "70         35.518           tbd  \n",
       "71         35.527           tbd  \n",
       "72         35.535       player9  \n",
       "73         35.542           tbd  \n",
       "74         35.549           tbd  \n",
       "\n",
       "[75 rows x 262 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bdbf275a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0     919\n",
       "61.0     82\n",
       "12.0     53\n",
       "3.0      25\n",
       "7.0      20\n",
       "52.0     19\n",
       "74.0     18\n",
       "8.0      17\n",
       "13.0     16\n",
       "50.0     12\n",
       "10.0     11\n",
       "15.0     11\n",
       "16.0      3\n",
       "41.0      2\n",
       "11.0      2\n",
       "2.0       2\n",
       "Name: typeId, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1['typeId'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2b2e5b38",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['closestPlayer'] = df1['closestPlayer'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "d137eabc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(df1['closestPlayer'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "c43c90dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in df1.index:\n",
    "    if (df1.at[row, 'closestPlayer'] != 'tbd'):\n",
    "        tmp = str(df1.at[row, 'closestPlayer'])\n",
    "        tmp = tmp.replace('player','')\n",
    "        df1.at[row, 'closestPlayer'] = tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "63a22ee4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>time_of_current_half</th>\n",
       "      <th>half_indicator</th>\n",
       "      <th>match_not_in_play</th>\n",
       "      <th>player_1_teamId</th>\n",
       "      <th>player_1_objectId</th>\n",
       "      <th>player_1_jerseyNum</th>\n",
       "      <th>player_1_x_x</th>\n",
       "      <th>player_1_y_x</th>\n",
       "      <th>player_2_teamId</th>\n",
       "      <th>player_2_objectId</th>\n",
       "      <th>player_2_jerseyNum</th>\n",
       "      <th>player_2_x_x</th>\n",
       "      <th>player_2_y_x</th>\n",
       "      <th>player_3_teamId</th>\n",
       "      <th>player_3_objectId</th>\n",
       "      <th>player_3_jerseyNum</th>\n",
       "      <th>player_3_x_x</th>\n",
       "      <th>player_3_y_x</th>\n",
       "      <th>player_4_teamId</th>\n",
       "      <th>player_4_objectId</th>\n",
       "      <th>player_4_jerseyNum</th>\n",
       "      <th>player_4_x_x</th>\n",
       "      <th>player_4_y_x</th>\n",
       "      <th>player_5_teamId</th>\n",
       "      <th>player_5_objectId</th>\n",
       "      <th>player_5_jerseyNum</th>\n",
       "      <th>player_5_x_x</th>\n",
       "      <th>player_5_y_x</th>\n",
       "      <th>player_6_teamId</th>\n",
       "      <th>player_6_objectId</th>\n",
       "      <th>player_6_jerseyNum</th>\n",
       "      <th>player_6_x_x</th>\n",
       "      <th>player_6_y_x</th>\n",
       "      <th>player_7_teamId</th>\n",
       "      <th>player_7_objectId</th>\n",
       "      <th>player_7_jerseyNum</th>\n",
       "      <th>player_7_x_x</th>\n",
       "      <th>player_7_y_x</th>\n",
       "      <th>player_8_teamId</th>\n",
       "      <th>player_8_objectId</th>\n",
       "      <th>player_8_jerseyNum</th>\n",
       "      <th>player_8_x_x</th>\n",
       "      <th>player_8_y_x</th>\n",
       "      <th>player_9_teamId</th>\n",
       "      <th>player_9_objectId</th>\n",
       "      <th>player_9_jerseyNum</th>\n",
       "      <th>player_9_x_x</th>\n",
       "      <th>player_9_y_x</th>\n",
       "      <th>player_10_teamId</th>\n",
       "      <th>player_10_objectId</th>\n",
       "      <th>player_10_jerseyNum</th>\n",
       "      <th>player_10_x_x</th>\n",
       "      <th>player_10_y_x</th>\n",
       "      <th>player_11_teamId</th>\n",
       "      <th>player_11_objectId</th>\n",
       "      <th>player_11_jerseyNum</th>\n",
       "      <th>player_11_x_x</th>\n",
       "      <th>player_11_y_x</th>\n",
       "      <th>player_12_teamId</th>\n",
       "      <th>player_12_objectId</th>\n",
       "      <th>player_12_jerseyNum</th>\n",
       "      <th>player_12_x_x</th>\n",
       "      <th>player_12_y_x</th>\n",
       "      <th>player_13_teamId</th>\n",
       "      <th>player_13_objectId</th>\n",
       "      <th>player_13_jerseyNum</th>\n",
       "      <th>player_13_x_x</th>\n",
       "      <th>player_13_y_x</th>\n",
       "      <th>player_14_teamId</th>\n",
       "      <th>player_14_objectId</th>\n",
       "      <th>player_14_jerseyNum</th>\n",
       "      <th>player_14_x_x</th>\n",
       "      <th>player_14_y_x</th>\n",
       "      <th>player_15_teamId</th>\n",
       "      <th>player_15_objectId</th>\n",
       "      <th>player_15_jerseyNum</th>\n",
       "      <th>player_15_x_x</th>\n",
       "      <th>player_15_y_x</th>\n",
       "      <th>player_16_teamId</th>\n",
       "      <th>player_16_objectId</th>\n",
       "      <th>player_16_jerseyNum</th>\n",
       "      <th>player_16_x_x</th>\n",
       "      <th>player_16_y_x</th>\n",
       "      <th>player_17_teamId</th>\n",
       "      <th>player_17_objectId</th>\n",
       "      <th>player_17_jerseyNum</th>\n",
       "      <th>player_17_x_x</th>\n",
       "      <th>player_17_y_x</th>\n",
       "      <th>player_18_teamId</th>\n",
       "      <th>player_18_objectId</th>\n",
       "      <th>player_18_jerseyNum</th>\n",
       "      <th>player_18_x_x</th>\n",
       "      <th>player_18_y_x</th>\n",
       "      <th>player_19_teamId</th>\n",
       "      <th>player_19_objectId</th>\n",
       "      <th>player_19_jerseyNum</th>\n",
       "      <th>player_19_x_x</th>\n",
       "      <th>player_19_y_x</th>\n",
       "      <th>player_20_teamId</th>\n",
       "      <th>player_20_objectId</th>\n",
       "      <th>player_20_jerseyNum</th>\n",
       "      <th>player_20_x_x</th>\n",
       "      <th>player_20_y_x</th>\n",
       "      <th>player_21_teamId</th>\n",
       "      <th>player_21_objectId</th>\n",
       "      <th>player_21_jerseyNum</th>\n",
       "      <th>player_21_x_x</th>\n",
       "      <th>player_21_y_x</th>\n",
       "      <th>player_22_teamId</th>\n",
       "      <th>player_22_objectId</th>\n",
       "      <th>player_22_jerseyNum</th>\n",
       "      <th>player_22_x_x</th>\n",
       "      <th>player_22_y_x</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>ball_z</th>\n",
       "      <th>timeMilliSec</th>\n",
       "      <th>frame_id</th>\n",
       "      <th>id</th>\n",
       "      <th>eventId</th>\n",
       "      <th>typeId</th>\n",
       "      <th>periodId</th>\n",
       "      <th>timeMin</th>\n",
       "      <th>timeSec</th>\n",
       "      <th>contestantId</th>\n",
       "      <th>outcome</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>lastModified</th>\n",
       "      <th>qualifier_0_id</th>\n",
       "      <th>qualifier_0_qualifierId</th>\n",
       "      <th>qualifier_0_value</th>\n",
       "      <th>qualifier_1_id</th>\n",
       "      <th>qualifier_1_qualifierId</th>\n",
       "      <th>qualifier_1_value</th>\n",
       "      <th>qualifier_2_id</th>\n",
       "      <th>qualifier_2_qualifierId</th>\n",
       "      <th>qualifier_2_value</th>\n",
       "      <th>qualifier_3_id</th>\n",
       "      <th>qualifier_3_qualifierId</th>\n",
       "      <th>qualifier_3_value</th>\n",
       "      <th>qualifier_4_id</th>\n",
       "      <th>qualifier_4_qualifierId</th>\n",
       "      <th>qualifier_4_value</th>\n",
       "      <th>qualifier_5_id</th>\n",
       "      <th>qualifier_5_qualifierId</th>\n",
       "      <th>qualifier_5_value</th>\n",
       "      <th>qualifier_6_id</th>\n",
       "      <th>qualifier_6_qualifierId</th>\n",
       "      <th>qualifier_6_value</th>\n",
       "      <th>qualifier_7_id</th>\n",
       "      <th>qualifier_7_qualifierId</th>\n",
       "      <th>qualifier_7_value</th>\n",
       "      <th>playerId</th>\n",
       "      <th>playerName</th>\n",
       "      <th>sequenceId</th>\n",
       "      <th>possessionId</th>\n",
       "      <th>qualifier_8_id</th>\n",
       "      <th>qualifier_8_qualifierId</th>\n",
       "      <th>qualifier_8_value</th>\n",
       "      <th>qualifier_9_id</th>\n",
       "      <th>qualifier_9_qualifierId</th>\n",
       "      <th>qualifier_10_id</th>\n",
       "      <th>qualifier_10_qualifierId</th>\n",
       "      <th>qualifier_11_id</th>\n",
       "      <th>qualifier_11_qualifierId</th>\n",
       "      <th>qualifier_12_id</th>\n",
       "      <th>qualifier_12_qualifierId</th>\n",
       "      <th>keyPass</th>\n",
       "      <th>qualifier_9_value</th>\n",
       "      <th>qualifier_10_value</th>\n",
       "      <th>qualifier_11_value</th>\n",
       "      <th>qualifier_13_id</th>\n",
       "      <th>qualifier_13_qualifierId</th>\n",
       "      <th>qualifier_13_value</th>\n",
       "      <th>qualifier_14_id</th>\n",
       "      <th>qualifier_14_qualifierId</th>\n",
       "      <th>qualifier_14_value</th>\n",
       "      <th>qualifier_15_id</th>\n",
       "      <th>qualifier_15_qualifierId</th>\n",
       "      <th>qualifier_12_value</th>\n",
       "      <th>qualifier_15_value</th>\n",
       "      <th>qualifier_16_id</th>\n",
       "      <th>qualifier_16_qualifierId</th>\n",
       "      <th>qualifier_17_id</th>\n",
       "      <th>qualifier_17_qualifierId</th>\n",
       "      <th>qualifier_17_value</th>\n",
       "      <th>qualifier_18_id</th>\n",
       "      <th>qualifier_18_qualifierId</th>\n",
       "      <th>qualifier_18_value</th>\n",
       "      <th>qualifier_19_id</th>\n",
       "      <th>qualifier_19_qualifierId</th>\n",
       "      <th>qualifier_16_value</th>\n",
       "      <th>qualifier_19_value</th>\n",
       "      <th>qualifier_20_id</th>\n",
       "      <th>qualifier_20_qualifierId</th>\n",
       "      <th>qualifier_20_value</th>\n",
       "      <th>qualifier_21_id</th>\n",
       "      <th>qualifier_21_qualifierId</th>\n",
       "      <th>assist</th>\n",
       "      <th>qualifier_21_value</th>\n",
       "      <th>qualifier_22_id</th>\n",
       "      <th>qualifier_22_qualifierId</th>\n",
       "      <th>playerTrackingId</th>\n",
       "      <th>to_sec</th>\n",
       "      <th>sec_remaining</th>\n",
       "      <th>Pass_end_x_x</th>\n",
       "      <th>Pass_end_y_x</th>\n",
       "      <th>dist_to_opponent_goal</th>\n",
       "      <th>angle_to_goal</th>\n",
       "      <th>Goal_difference_home</th>\n",
       "      <th>Goal_difference_away</th>\n",
       "      <th>distance</th>\n",
       "      <th>Pass_end_x_y</th>\n",
       "      <th>Pass_end_y_y</th>\n",
       "      <th>player_1_x_y</th>\n",
       "      <th>player_1_y_y</th>\n",
       "      <th>player_2_x_y</th>\n",
       "      <th>player_2_y_y</th>\n",
       "      <th>player_3_x_y</th>\n",
       "      <th>player_3_y_y</th>\n",
       "      <th>player_4_x_y</th>\n",
       "      <th>player_4_y_y</th>\n",
       "      <th>player_5_x_y</th>\n",
       "      <th>player_5_y_y</th>\n",
       "      <th>player_6_x_y</th>\n",
       "      <th>player_6_y_y</th>\n",
       "      <th>player_7_x_y</th>\n",
       "      <th>player_7_y_y</th>\n",
       "      <th>player_8_x_y</th>\n",
       "      <th>player_8_y_y</th>\n",
       "      <th>player_9_x_y</th>\n",
       "      <th>player_9_y_y</th>\n",
       "      <th>player_10_x_y</th>\n",
       "      <th>player_10_y_y</th>\n",
       "      <th>player_11_x_y</th>\n",
       "      <th>player_11_y_y</th>\n",
       "      <th>player_12_x_y</th>\n",
       "      <th>player_12_y_y</th>\n",
       "      <th>player_13_x_y</th>\n",
       "      <th>player_13_y_y</th>\n",
       "      <th>player_14_x_y</th>\n",
       "      <th>player_14_y_y</th>\n",
       "      <th>player_15_x_y</th>\n",
       "      <th>player_15_y_y</th>\n",
       "      <th>player_16_x_y</th>\n",
       "      <th>player_16_y_y</th>\n",
       "      <th>player_17_x_y</th>\n",
       "      <th>player_17_y_y</th>\n",
       "      <th>player_18_x_y</th>\n",
       "      <th>player_18_y_y</th>\n",
       "      <th>player_19_x_y</th>\n",
       "      <th>player_19_y_y</th>\n",
       "      <th>player_20_x_y</th>\n",
       "      <th>player_20_y_y</th>\n",
       "      <th>player_21_x_y</th>\n",
       "      <th>player_21_y_y</th>\n",
       "      <th>player_22_x_y</th>\n",
       "      <th>player_22_y_y</th>\n",
       "      <th>closestPlayer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.96</td>\n",
       "      <td>25.734</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.8</td>\n",
       "      <td>25.964</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.17</td>\n",
       "      <td>42.621</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>52.61</td>\n",
       "      <td>37.47</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.285535e+09</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2b57rbw94i9ohnbch52owvqtq</td>\n",
       "      <td>1.0</td>\n",
       "      <td>52.5</td>\n",
       "      <td>34.0</td>\n",
       "      <td>1.618170e+12</td>\n",
       "      <td>2021-04-12T06:41:52Z</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Back</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>35.2</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>141.0</td>\n",
       "      <td>53.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>212.0</td>\n",
       "      <td>15.7</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>213.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>279.0</td>\n",
       "      <td>S</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0.00002164</td>\n",
       "      <td>2.861894e+09</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1d2fpmtdglpqwyhnc657n77it</td>\n",
       "      <td>A. Hjulsager</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>743228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2703.0</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>52.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.887905</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.96</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.8</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.17</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       timestamp  time_of_current_half  half_indicator  match_not_in_play  \\\n",
       "0  1618170300000                     0               1                  0   \n",
       "\n",
       "   player_1_teamId  player_1_objectId  player_1_jerseyNum  player_1_x_x  \\\n",
       "0                0             354626                   4        73.662   \n",
       "\n",
       "   player_1_y_x  player_2_teamId  player_2_objectId  player_2_jerseyNum  \\\n",
       "0        37.017                0             466925                   5   \n",
       "\n",
       "   player_2_x_x  player_2_y_x  player_3_teamId  player_3_objectId  \\\n",
       "0        71.057        58.949                0             536323   \n",
       "\n",
       "   player_3_jerseyNum  player_3_x_x  player_3_y_x  player_4_teamId  \\\n",
       "0                  16        64.404        33.888                0   \n",
       "\n",
       "   player_4_objectId  player_4_jerseyNum  player_4_x_x  player_4_y_x  \\\n",
       "0             554722                   8        64.224        33.844   \n",
       "\n",
       "   player_5_teamId  player_5_objectId  player_5_jerseyNum  player_5_x_x  \\\n",
       "0                0             593009                  92        57.683   \n",
       "\n",
       "   player_5_y_x  player_6_teamId  player_6_objectId  player_6_jerseyNum  \\\n",
       "0        50.663                0             606682                  18   \n",
       "\n",
       "   player_6_x_x  player_6_y_x  player_7_teamId  player_7_objectId  \\\n",
       "0        66.209        47.268                0             789193   \n",
       "\n",
       "   player_7_jerseyNum  player_7_x_x  player_7_y_x  player_8_teamId  \\\n",
       "0                  15        62.236        13.515                0   \n",
       "\n",
       "   player_8_objectId  player_8_jerseyNum  player_8_x_x  player_8_y_x  \\\n",
       "0             968671                  55        78.175        45.493   \n",
       "\n",
       "   player_9_teamId  player_9_objectId  player_9_jerseyNum  player_9_x_x  \\\n",
       "0                0            1102488                   7         53.96   \n",
       "\n",
       "   player_9_y_x  player_10_teamId  player_10_objectId  player_10_jerseyNum  \\\n",
       "0        25.734                 0             1108110                    2   \n",
       "\n",
       "   player_10_x_x  player_10_y_x  player_11_teamId  player_11_objectId  \\\n",
       "0           72.8         25.964                 1              356560   \n",
       "\n",
       "   player_11_jerseyNum  player_11_x_x  player_11_y_x  player_12_teamId  \\\n",
       "0                   27         40.913         23.519                 1   \n",
       "\n",
       "   player_12_objectId  player_12_jerseyNum  player_12_x_x  player_12_y_x  \\\n",
       "0              733561                   26         51.211         23.229   \n",
       "\n",
       "   player_13_teamId  player_13_objectId  player_13_jerseyNum  player_13_x_x  \\\n",
       "0                 1              743228                   17         52.636   \n",
       "\n",
       "   player_13_y_x  player_14_teamId  player_14_objectId  player_14_jerseyNum  \\\n",
       "0         35.883                 1              752504                    6   \n",
       "\n",
       "   player_14_x_x  player_14_y_x  player_15_teamId  player_15_objectId  \\\n",
       "0         46.126         30.051                 1              794887   \n",
       "\n",
       "   player_15_jerseyNum  player_15_x_x  player_15_y_x  player_16_teamId  \\\n",
       "0                   21         53.199         53.248                 1   \n",
       "\n",
       "   player_16_objectId  player_16_jerseyNum  player_16_x_x  player_16_y_x  \\\n",
       "0              871279                    4         41.628         38.497   \n",
       "\n",
       "   player_17_teamId  player_17_objectId  player_17_jerseyNum  player_17_x_x  \\\n",
       "0                 1              973617                    5         43.109   \n",
       "\n",
       "   player_17_y_x  player_18_teamId  player_18_objectId  player_18_jerseyNum  \\\n",
       "0         49.299                 1             1061319                   29   \n",
       "\n",
       "   player_18_x_x  player_18_y_x  player_19_teamId  player_19_objectId  \\\n",
       "0         50.017         65.675                 1             1061321   \n",
       "\n",
       "   player_19_jerseyNum  player_19_x_x  player_19_y_x  player_20_teamId  \\\n",
       "0                   25         53.052          4.563                 1   \n",
       "\n",
       "   player_20_objectId  player_20_jerseyNum  player_20_x_x  player_20_y_x  \\\n",
       "0             1107910                   34          52.17         42.621   \n",
       "\n",
       "   player_21_teamId  player_21_objectId  player_21_jerseyNum  player_21_x_x  \\\n",
       "0                 3              465460                   31         99.751   \n",
       "\n",
       "   player_21_y_x  player_22_teamId  player_22_objectId  player_22_jerseyNum  \\\n",
       "0         35.691               4.0            606868.0                 28.0   \n",
       "\n",
       "   player_22_x_x  player_22_y_x  ball_x  ball_y  ball_z  timeMilliSec  \\\n",
       "0          3.522         35.925   52.61   37.47     0.0             0   \n",
       "\n",
       "   frame_id            id  eventId  typeId  periodId  timeMin  timeSec  \\\n",
       "0         0  2.285535e+09      3.0     1.0       1.0      0.0      0.0   \n",
       "\n",
       "                contestantId  outcome     x     y     timeStamp  \\\n",
       "0  2b57rbw94i9ohnbch52owvqtq      1.0  52.5  34.0  1.618170e+12   \n",
       "\n",
       "           lastModified  qualifier_0_id  qualifier_0_qualifierId  \\\n",
       "0  2021-04-12T06:41:52Z    2.861039e+09                     56.0   \n",
       "\n",
       "  qualifier_0_value  qualifier_1_id  qualifier_1_qualifierId  \\\n",
       "0              Back    2.861039e+09                    140.0   \n",
       "\n",
       "  qualifier_1_value  qualifier_2_id  qualifier_2_qualifierId  \\\n",
       "0              35.2    2.861039e+09                    141.0   \n",
       "\n",
       "  qualifier_2_value  qualifier_3_id  qualifier_3_qualifierId  \\\n",
       "0              53.4    2.861039e+09                    212.0   \n",
       "\n",
       "  qualifier_3_value  qualifier_4_id  qualifier_4_qualifierId  \\\n",
       "0              15.7    2.861039e+09                    213.0   \n",
       "\n",
       "  qualifier_4_value  qualifier_5_id  qualifier_5_qualifierId  \\\n",
       "0               3.0    2.861039e+09                    279.0   \n",
       "\n",
       "  qualifier_5_value  qualifier_6_id  qualifier_6_qualifierId  \\\n",
       "0                 S    2.861039e+09                    318.0   \n",
       "\n",
       "  qualifier_6_value  qualifier_7_id  qualifier_7_qualifierId  \\\n",
       "0        0.00002164    2.861894e+09                    178.0   \n",
       "\n",
       "  qualifier_7_value                   playerId    playerName  sequenceId  \\\n",
       "0               NaN  1d2fpmtdglpqwyhnc657n77it  A. Hjulsager         1.0   \n",
       "\n",
       "   possessionId  qualifier_8_id  qualifier_8_qualifierId qualifier_8_value  \\\n",
       "0           1.0             NaN                      NaN               NaN   \n",
       "\n",
       "   qualifier_9_id  qualifier_9_qualifierId  qualifier_10_id  \\\n",
       "0             NaN                      NaN              NaN   \n",
       "\n",
       "   qualifier_10_qualifierId  qualifier_11_id  qualifier_11_qualifierId  \\\n",
       "0                       NaN              NaN                       NaN   \n",
       "\n",
       "   qualifier_12_id  qualifier_12_qualifierId  keyPass  qualifier_9_value  \\\n",
       "0              NaN                       NaN      NaN                NaN   \n",
       "\n",
       "   qualifier_10_value  qualifier_11_value  qualifier_13_id  \\\n",
       "0                 NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_13_qualifierId  qualifier_13_value  qualifier_14_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_14_qualifierId  qualifier_14_value  qualifier_15_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_15_qualifierId  qualifier_12_value  qualifier_15_value  \\\n",
       "0                       NaN                 NaN                 NaN   \n",
       "\n",
       "   qualifier_16_id  qualifier_16_qualifierId  qualifier_17_id  \\\n",
       "0              NaN                       NaN              NaN   \n",
       "\n",
       "   qualifier_17_qualifierId  qualifier_17_value  qualifier_18_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_18_qualifierId  qualifier_18_value  qualifier_19_id  \\\n",
       "0                       NaN                 NaN              NaN   \n",
       "\n",
       "   qualifier_19_qualifierId  qualifier_16_value  qualifier_19_value  \\\n",
       "0                       NaN                 NaN                 NaN   \n",
       "\n",
       "   qualifier_20_id  qualifier_20_qualifierId  qualifier_20_value  \\\n",
       "0              NaN                       NaN                 NaN   \n",
       "\n",
       "   qualifier_21_id  qualifier_21_qualifierId  assist  qualifier_21_value  \\\n",
       "0              NaN                       NaN     NaN                 NaN   \n",
       "\n",
       "   qualifier_22_id  qualifier_22_qualifierId  playerTrackingId  to_sec  \\\n",
       "0              NaN                       NaN          743228.0     0.0   \n",
       "\n",
       "   sec_remaining  Pass_end_x_x  Pass_end_y_x  dist_to_opponent_goal  \\\n",
       "0         2703.0         36.96        36.312                   52.5   \n",
       "\n",
       "   angle_to_goal  Goal_difference_home  Goal_difference_away  distance  \\\n",
       "0            0.0                   0.0                   0.0  1.887905   \n",
       "\n",
       "   Pass_end_x_y  Pass_end_y_y  player_1_x_y  player_1_y_y  player_2_x_y  \\\n",
       "0         36.96        36.312        73.662        37.017        71.057   \n",
       "\n",
       "   player_2_y_y  player_3_x_y  player_3_y_y  player_4_x_y  player_4_y_y  \\\n",
       "0        58.949        64.404        33.888        64.224        33.844   \n",
       "\n",
       "   player_5_x_y  player_5_y_y  player_6_x_y  player_6_y_y  player_7_x_y  \\\n",
       "0        57.683        50.663        66.209        47.268        62.236   \n",
       "\n",
       "   player_7_y_y  player_8_x_y  player_8_y_y  player_9_x_y  player_9_y_y  \\\n",
       "0        13.515        78.175        45.493         53.96        25.734   \n",
       "\n",
       "   player_10_x_y  player_10_y_y  player_11_x_y  player_11_y_y  player_12_x_y  \\\n",
       "0           72.8         25.964         40.913         23.519         51.211   \n",
       "\n",
       "   player_12_y_y  player_13_x_y  player_13_y_y  player_14_x_y  player_14_y_y  \\\n",
       "0         23.229         52.636         35.883         46.126         30.051   \n",
       "\n",
       "   player_15_x_y  player_15_y_y  player_16_x_y  player_16_y_y  player_17_x_y  \\\n",
       "0         53.199         53.248         41.628         38.497         43.109   \n",
       "\n",
       "   player_17_y_y  player_18_x_y  player_18_y_y  player_19_x_y  player_19_y_y  \\\n",
       "0         49.299         50.017         65.675         53.052          4.563   \n",
       "\n",
       "   player_20_x_y  player_20_y_y  player_21_x_y  player_21_y_y  player_22_x_y  \\\n",
       "0          52.17         42.621         99.751         35.691          3.522   \n",
       "\n",
       "   player_22_y_y closestPlayer  \n",
       "0         35.925            11  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "42b01d41",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['recipientId'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "420f6e06",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in df1.index:\n",
    "    if (df1.at[row, 'closestPlayer'] != 'tbd'):\n",
    "        num = int(df1.at[row, 'closestPlayer'])\n",
    "        #print(df1.iloc[row, num*5])\n",
    "        df1.at[row, 'recipientId'] = int(df1.iloc[row, num*5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "960abed2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df1['time_step'] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "d957e301",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
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       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>timestamp</th>\n",
       "      <th>time_of_current_half</th>\n",
       "      <th>half_indicator</th>\n",
       "      <th>match_not_in_play</th>\n",
       "      <th>player_1_teamId</th>\n",
       "      <th>player_1_objectId</th>\n",
       "      <th>player_1_jerseyNum</th>\n",
       "      <th>player_1_x_x</th>\n",
       "      <th>player_1_y_x</th>\n",
       "      <th>player_2_teamId</th>\n",
       "      <th>player_2_objectId</th>\n",
       "      <th>player_2_jerseyNum</th>\n",
       "      <th>player_2_x_x</th>\n",
       "      <th>player_2_y_x</th>\n",
       "      <th>player_3_teamId</th>\n",
       "      <th>player_3_objectId</th>\n",
       "      <th>player_3_jerseyNum</th>\n",
       "      <th>player_3_x_x</th>\n",
       "      <th>player_3_y_x</th>\n",
       "      <th>player_4_teamId</th>\n",
       "      <th>player_4_objectId</th>\n",
       "      <th>player_4_jerseyNum</th>\n",
       "      <th>player_4_x_x</th>\n",
       "      <th>player_4_y_x</th>\n",
       "      <th>player_5_teamId</th>\n",
       "      <th>player_5_objectId</th>\n",
       "      <th>player_5_jerseyNum</th>\n",
       "      <th>player_5_x_x</th>\n",
       "      <th>player_5_y_x</th>\n",
       "      <th>player_6_teamId</th>\n",
       "      <th>player_6_objectId</th>\n",
       "      <th>player_6_jerseyNum</th>\n",
       "      <th>player_6_x_x</th>\n",
       "      <th>player_6_y_x</th>\n",
       "      <th>player_7_teamId</th>\n",
       "      <th>player_7_objectId</th>\n",
       "      <th>player_7_jerseyNum</th>\n",
       "      <th>player_7_x_x</th>\n",
       "      <th>player_7_y_x</th>\n",
       "      <th>player_8_teamId</th>\n",
       "      <th>player_8_objectId</th>\n",
       "      <th>player_8_jerseyNum</th>\n",
       "      <th>player_8_x_x</th>\n",
       "      <th>player_8_y_x</th>\n",
       "      <th>player_9_teamId</th>\n",
       "      <th>player_9_objectId</th>\n",
       "      <th>player_9_jerseyNum</th>\n",
       "      <th>player_9_x_x</th>\n",
       "      <th>player_9_y_x</th>\n",
       "      <th>player_10_teamId</th>\n",
       "      <th>player_10_objectId</th>\n",
       "      <th>player_10_jerseyNum</th>\n",
       "      <th>player_10_x_x</th>\n",
       "      <th>player_10_y_x</th>\n",
       "      <th>player_11_teamId</th>\n",
       "      <th>player_11_objectId</th>\n",
       "      <th>player_11_jerseyNum</th>\n",
       "      <th>player_11_x_x</th>\n",
       "      <th>player_11_y_x</th>\n",
       "      <th>player_12_teamId</th>\n",
       "      <th>player_12_objectId</th>\n",
       "      <th>player_12_jerseyNum</th>\n",
       "      <th>player_12_x_x</th>\n",
       "      <th>player_12_y_x</th>\n",
       "      <th>player_13_teamId</th>\n",
       "      <th>player_13_objectId</th>\n",
       "      <th>player_13_jerseyNum</th>\n",
       "      <th>player_13_x_x</th>\n",
       "      <th>player_13_y_x</th>\n",
       "      <th>player_14_teamId</th>\n",
       "      <th>player_14_objectId</th>\n",
       "      <th>player_14_jerseyNum</th>\n",
       "      <th>player_14_x_x</th>\n",
       "      <th>player_14_y_x</th>\n",
       "      <th>player_15_teamId</th>\n",
       "      <th>player_15_objectId</th>\n",
       "      <th>player_15_jerseyNum</th>\n",
       "      <th>player_15_x_x</th>\n",
       "      <th>player_15_y_x</th>\n",
       "      <th>player_16_teamId</th>\n",
       "      <th>player_16_objectId</th>\n",
       "      <th>player_16_jerseyNum</th>\n",
       "      <th>player_16_x_x</th>\n",
       "      <th>player_16_y_x</th>\n",
       "      <th>player_17_teamId</th>\n",
       "      <th>player_17_objectId</th>\n",
       "      <th>player_17_jerseyNum</th>\n",
       "      <th>player_17_x_x</th>\n",
       "      <th>player_17_y_x</th>\n",
       "      <th>player_18_teamId</th>\n",
       "      <th>player_18_objectId</th>\n",
       "      <th>player_18_jerseyNum</th>\n",
       "      <th>player_18_x_x</th>\n",
       "      <th>player_18_y_x</th>\n",
       "      <th>player_19_teamId</th>\n",
       "      <th>player_19_objectId</th>\n",
       "      <th>player_19_jerseyNum</th>\n",
       "      <th>player_19_x_x</th>\n",
       "      <th>player_19_y_x</th>\n",
       "      <th>player_20_teamId</th>\n",
       "      <th>player_20_objectId</th>\n",
       "      <th>player_20_jerseyNum</th>\n",
       "      <th>player_20_x_x</th>\n",
       "      <th>player_20_y_x</th>\n",
       "      <th>player_21_teamId</th>\n",
       "      <th>player_21_objectId</th>\n",
       "      <th>player_21_jerseyNum</th>\n",
       "      <th>player_21_x_x</th>\n",
       "      <th>player_21_y_x</th>\n",
       "      <th>player_22_teamId</th>\n",
       "      <th>player_22_objectId</th>\n",
       "      <th>player_22_jerseyNum</th>\n",
       "      <th>player_22_x_x</th>\n",
       "      <th>player_22_y_x</th>\n",
       "      <th>ball_x</th>\n",
       "      <th>ball_y</th>\n",
       "      <th>ball_z</th>\n",
       "      <th>timeMilliSec</th>\n",
       "      <th>frame_id</th>\n",
       "      <th>id</th>\n",
       "      <th>eventId</th>\n",
       "      <th>typeId</th>\n",
       "      <th>periodId</th>\n",
       "      <th>timeMin</th>\n",
       "      <th>timeSec</th>\n",
       "      <th>contestantId</th>\n",
       "      <th>outcome</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>timeStamp</th>\n",
       "      <th>lastModified</th>\n",
       "      <th>qualifier_0_id</th>\n",
       "      <th>qualifier_0_qualifierId</th>\n",
       "      <th>qualifier_0_value</th>\n",
       "      <th>qualifier_1_id</th>\n",
       "      <th>qualifier_1_qualifierId</th>\n",
       "      <th>qualifier_1_value</th>\n",
       "      <th>qualifier_2_id</th>\n",
       "      <th>qualifier_2_qualifierId</th>\n",
       "      <th>qualifier_2_value</th>\n",
       "      <th>qualifier_3_id</th>\n",
       "      <th>qualifier_3_qualifierId</th>\n",
       "      <th>qualifier_3_value</th>\n",
       "      <th>qualifier_4_id</th>\n",
       "      <th>qualifier_4_qualifierId</th>\n",
       "      <th>qualifier_4_value</th>\n",
       "      <th>qualifier_5_id</th>\n",
       "      <th>qualifier_5_qualifierId</th>\n",
       "      <th>qualifier_5_value</th>\n",
       "      <th>qualifier_6_id</th>\n",
       "      <th>qualifier_6_qualifierId</th>\n",
       "      <th>qualifier_6_value</th>\n",
       "      <th>qualifier_7_id</th>\n",
       "      <th>qualifier_7_qualifierId</th>\n",
       "      <th>qualifier_7_value</th>\n",
       "      <th>playerId</th>\n",
       "      <th>playerName</th>\n",
       "      <th>sequenceId</th>\n",
       "      <th>possessionId</th>\n",
       "      <th>qualifier_8_id</th>\n",
       "      <th>qualifier_8_qualifierId</th>\n",
       "      <th>qualifier_8_value</th>\n",
       "      <th>qualifier_9_id</th>\n",
       "      <th>qualifier_9_qualifierId</th>\n",
       "      <th>qualifier_10_id</th>\n",
       "      <th>qualifier_10_qualifierId</th>\n",
       "      <th>qualifier_11_id</th>\n",
       "      <th>qualifier_11_qualifierId</th>\n",
       "      <th>qualifier_12_id</th>\n",
       "      <th>qualifier_12_qualifierId</th>\n",
       "      <th>keyPass</th>\n",
       "      <th>qualifier_9_value</th>\n",
       "      <th>qualifier_10_value</th>\n",
       "      <th>qualifier_11_value</th>\n",
       "      <th>qualifier_13_id</th>\n",
       "      <th>qualifier_13_qualifierId</th>\n",
       "      <th>qualifier_13_value</th>\n",
       "      <th>qualifier_14_id</th>\n",
       "      <th>qualifier_14_qualifierId</th>\n",
       "      <th>qualifier_14_value</th>\n",
       "      <th>qualifier_15_id</th>\n",
       "      <th>qualifier_15_qualifierId</th>\n",
       "      <th>qualifier_12_value</th>\n",
       "      <th>qualifier_15_value</th>\n",
       "      <th>qualifier_16_id</th>\n",
       "      <th>qualifier_16_qualifierId</th>\n",
       "      <th>qualifier_17_id</th>\n",
       "      <th>qualifier_17_qualifierId</th>\n",
       "      <th>qualifier_17_value</th>\n",
       "      <th>qualifier_18_id</th>\n",
       "      <th>qualifier_18_qualifierId</th>\n",
       "      <th>qualifier_18_value</th>\n",
       "      <th>qualifier_19_id</th>\n",
       "      <th>qualifier_19_qualifierId</th>\n",
       "      <th>qualifier_16_value</th>\n",
       "      <th>qualifier_19_value</th>\n",
       "      <th>qualifier_20_id</th>\n",
       "      <th>qualifier_20_qualifierId</th>\n",
       "      <th>qualifier_20_value</th>\n",
       "      <th>qualifier_21_id</th>\n",
       "      <th>qualifier_21_qualifierId</th>\n",
       "      <th>assist</th>\n",
       "      <th>qualifier_21_value</th>\n",
       "      <th>qualifier_22_id</th>\n",
       "      <th>qualifier_22_qualifierId</th>\n",
       "      <th>playerTrackingId</th>\n",
       "      <th>to_sec</th>\n",
       "      <th>sec_remaining</th>\n",
       "      <th>Pass_end_x_x</th>\n",
       "      <th>Pass_end_y_x</th>\n",
       "      <th>dist_to_opponent_goal</th>\n",
       "      <th>angle_to_goal</th>\n",
       "      <th>Goal_difference_home</th>\n",
       "      <th>Goal_difference_away</th>\n",
       "      <th>distance</th>\n",
       "      <th>Pass_end_x_y</th>\n",
       "      <th>Pass_end_y_y</th>\n",
       "      <th>player_1_x_y</th>\n",
       "      <th>player_1_y_y</th>\n",
       "      <th>player_2_x_y</th>\n",
       "      <th>player_2_y_y</th>\n",
       "      <th>player_3_x_y</th>\n",
       "      <th>player_3_y_y</th>\n",
       "      <th>player_4_x_y</th>\n",
       "      <th>player_4_y_y</th>\n",
       "      <th>player_5_x_y</th>\n",
       "      <th>player_5_y_y</th>\n",
       "      <th>player_6_x_y</th>\n",
       "      <th>player_6_y_y</th>\n",
       "      <th>player_7_x_y</th>\n",
       "      <th>player_7_y_y</th>\n",
       "      <th>player_8_x_y</th>\n",
       "      <th>player_8_y_y</th>\n",
       "      <th>player_9_x_y</th>\n",
       "      <th>player_9_y_y</th>\n",
       "      <th>player_10_x_y</th>\n",
       "      <th>player_10_y_y</th>\n",
       "      <th>player_11_x_y</th>\n",
       "      <th>player_11_y_y</th>\n",
       "      <th>player_12_x_y</th>\n",
       "      <th>player_12_y_y</th>\n",
       "      <th>player_13_x_y</th>\n",
       "      <th>player_13_y_y</th>\n",
       "      <th>player_14_x_y</th>\n",
       "      <th>player_14_y_y</th>\n",
       "      <th>player_15_x_y</th>\n",
       "      <th>player_15_y_y</th>\n",
       "      <th>player_16_x_y</th>\n",
       "      <th>player_16_y_y</th>\n",
       "      <th>player_17_x_y</th>\n",
       "      <th>player_17_y_y</th>\n",
       "      <th>player_18_x_y</th>\n",
       "      <th>player_18_y_y</th>\n",
       "      <th>player_19_x_y</th>\n",
       "      <th>player_19_y_y</th>\n",
       "      <th>player_20_x_y</th>\n",
       "      <th>player_20_y_y</th>\n",
       "      <th>player_21_x_y</th>\n",
       "      <th>player_21_y_y</th>\n",
       "      <th>player_22_x_y</th>\n",
       "      <th>player_22_y_y</th>\n",
       "      <th>closestPlayer</th>\n",
       "      <th>recipientId</th>\n",
       "      <th>time_step</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1618170300000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>52.61</td>\n",
       "      <td>37.47</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.285535e+09</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2b57rbw94i9ohnbch52owvqtq</td>\n",
       "      <td>1.0</td>\n",
       "      <td>52.500</td>\n",
       "      <td>34.000</td>\n",
       "      <td>1.618170e+12</td>\n",
       "      <td>2021-04-12T06:41:52Z</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Back</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>35.2</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>141.0</td>\n",
       "      <td>53.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>212.0</td>\n",
       "      <td>15.7</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>213.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>279.0</td>\n",
       "      <td>S</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0.00002164</td>\n",
       "      <td>2.861894e+09</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1d2fpmtdglpqwyhnc657n77it</td>\n",
       "      <td>A. Hjulsager</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>743228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2703.0</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>52.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.887905</td>\n",
       "      <td>36.96</td>\n",
       "      <td>36.312</td>\n",
       "      <td>73.662</td>\n",
       "      <td>37.017</td>\n",
       "      <td>71.057</td>\n",
       "      <td>58.949</td>\n",
       "      <td>64.404</td>\n",
       "      <td>33.888</td>\n",
       "      <td>64.224</td>\n",
       "      <td>33.844</td>\n",
       "      <td>57.683</td>\n",
       "      <td>50.663</td>\n",
       "      <td>66.209</td>\n",
       "      <td>47.268</td>\n",
       "      <td>62.236</td>\n",
       "      <td>13.515</td>\n",
       "      <td>78.175</td>\n",
       "      <td>45.493</td>\n",
       "      <td>53.960</td>\n",
       "      <td>25.734</td>\n",
       "      <td>72.800</td>\n",
       "      <td>25.964</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.519</td>\n",
       "      <td>51.211</td>\n",
       "      <td>23.229</td>\n",
       "      <td>52.636</td>\n",
       "      <td>35.883</td>\n",
       "      <td>46.126</td>\n",
       "      <td>30.051</td>\n",
       "      <td>53.199</td>\n",
       "      <td>53.248</td>\n",
       "      <td>41.628</td>\n",
       "      <td>38.497</td>\n",
       "      <td>43.109</td>\n",
       "      <td>49.299</td>\n",
       "      <td>50.017</td>\n",
       "      <td>65.675</td>\n",
       "      <td>53.052</td>\n",
       "      <td>4.563</td>\n",
       "      <td>52.170</td>\n",
       "      <td>42.621</td>\n",
       "      <td>99.751</td>\n",
       "      <td>35.691</td>\n",
       "      <td>3.522</td>\n",
       "      <td>35.925</td>\n",
       "      <td>11</td>\n",
       "      <td>356560</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1618170300040</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>52.12</td>\n",
       "      <td>37.55</td>\n",
       "      <td>0.071</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.687</td>\n",
       "      <td>37.030</td>\n",
       "      <td>71.108</td>\n",
       "      <td>58.932</td>\n",
       "      <td>64.428</td>\n",
       "      <td>33.985</td>\n",
       "      <td>64.125</td>\n",
       "      <td>33.811</td>\n",
       "      <td>57.690</td>\n",
       "      <td>50.682</td>\n",
       "      <td>66.214</td>\n",
       "      <td>47.303</td>\n",
       "      <td>62.295</td>\n",
       "      <td>13.516</td>\n",
       "      <td>78.174</td>\n",
       "      <td>45.492</td>\n",
       "      <td>53.882</td>\n",
       "      <td>25.801</td>\n",
       "      <td>72.851</td>\n",
       "      <td>25.956</td>\n",
       "      <td>40.913</td>\n",
       "      <td>23.575</td>\n",
       "      <td>51.264</td>\n",
       "      <td>23.294</td>\n",
       "      <td>52.695</td>\n",
       "      <td>35.954</td>\n",
       "      <td>46.146</td>\n",
       "      <td>30.102</td>\n",
       "      <td>53.405</td>\n",
       "      <td>53.319</td>\n",
       "      <td>41.450</td>\n",
       "      <td>38.568</td>\n",
       "      <td>43.177</td>\n",
       "      <td>49.351</td>\n",
       "      <td>50.075</td>\n",
       "      <td>65.756</td>\n",
       "      <td>53.152</td>\n",
       "      <td>4.543</td>\n",
       "      <td>52.198</td>\n",
       "      <td>42.571</td>\n",
       "      <td>99.714</td>\n",
       "      <td>35.704</td>\n",
       "      <td>3.502</td>\n",
       "      <td>36.013</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1618170300080</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>51.62</td>\n",
       "      <td>37.63</td>\n",
       "      <td>0.126</td>\n",
       "      <td>80</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.712</td>\n",
       "      <td>37.043</td>\n",
       "      <td>71.159</td>\n",
       "      <td>58.914</td>\n",
       "      <td>64.451</td>\n",
       "      <td>34.082</td>\n",
       "      <td>64.027</td>\n",
       "      <td>33.776</td>\n",
       "      <td>57.698</td>\n",
       "      <td>50.701</td>\n",
       "      <td>66.219</td>\n",
       "      <td>47.335</td>\n",
       "      <td>62.354</td>\n",
       "      <td>13.517</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.806</td>\n",
       "      <td>25.859</td>\n",
       "      <td>72.901</td>\n",
       "      <td>25.948</td>\n",
       "      <td>40.914</td>\n",
       "      <td>23.610</td>\n",
       "      <td>51.317</td>\n",
       "      <td>23.351</td>\n",
       "      <td>52.755</td>\n",
       "      <td>36.026</td>\n",
       "      <td>46.165</td>\n",
       "      <td>30.153</td>\n",
       "      <td>53.611</td>\n",
       "      <td>53.387</td>\n",
       "      <td>41.287</td>\n",
       "      <td>38.634</td>\n",
       "      <td>43.244</td>\n",
       "      <td>49.402</td>\n",
       "      <td>50.134</td>\n",
       "      <td>65.834</td>\n",
       "      <td>53.253</td>\n",
       "      <td>4.521</td>\n",
       "      <td>52.227</td>\n",
       "      <td>42.523</td>\n",
       "      <td>99.677</td>\n",
       "      <td>35.717</td>\n",
       "      <td>3.494</td>\n",
       "      <td>36.086</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1618170300120</td>\n",
       "      <td>120</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>51.12</td>\n",
       "      <td>37.71</td>\n",
       "      <td>0.165</td>\n",
       "      <td>120</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.738</td>\n",
       "      <td>37.055</td>\n",
       "      <td>71.208</td>\n",
       "      <td>58.897</td>\n",
       "      <td>64.473</td>\n",
       "      <td>34.177</td>\n",
       "      <td>63.928</td>\n",
       "      <td>33.741</td>\n",
       "      <td>57.705</td>\n",
       "      <td>50.721</td>\n",
       "      <td>66.224</td>\n",
       "      <td>47.364</td>\n",
       "      <td>62.413</td>\n",
       "      <td>13.518</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.729</td>\n",
       "      <td>25.908</td>\n",
       "      <td>72.950</td>\n",
       "      <td>25.938</td>\n",
       "      <td>40.916</td>\n",
       "      <td>23.625</td>\n",
       "      <td>51.369</td>\n",
       "      <td>23.401</td>\n",
       "      <td>52.816</td>\n",
       "      <td>36.097</td>\n",
       "      <td>46.185</td>\n",
       "      <td>30.202</td>\n",
       "      <td>53.817</td>\n",
       "      <td>53.452</td>\n",
       "      <td>41.141</td>\n",
       "      <td>38.694</td>\n",
       "      <td>43.310</td>\n",
       "      <td>49.455</td>\n",
       "      <td>50.194</td>\n",
       "      <td>65.907</td>\n",
       "      <td>53.354</td>\n",
       "      <td>4.499</td>\n",
       "      <td>52.257</td>\n",
       "      <td>42.477</td>\n",
       "      <td>99.640</td>\n",
       "      <td>35.730</td>\n",
       "      <td>3.497</td>\n",
       "      <td>36.143</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1618170300160</td>\n",
       "      <td>160</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>50.63</td>\n",
       "      <td>37.79</td>\n",
       "      <td>0.188</td>\n",
       "      <td>160</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.764</td>\n",
       "      <td>37.068</td>\n",
       "      <td>71.258</td>\n",
       "      <td>58.880</td>\n",
       "      <td>64.495</td>\n",
       "      <td>34.270</td>\n",
       "      <td>63.830</td>\n",
       "      <td>33.704</td>\n",
       "      <td>57.713</td>\n",
       "      <td>50.742</td>\n",
       "      <td>66.229</td>\n",
       "      <td>47.391</td>\n",
       "      <td>62.472</td>\n",
       "      <td>13.519</td>\n",
       "      <td>78.173</td>\n",
       "      <td>45.491</td>\n",
       "      <td>53.654</td>\n",
       "      <td>25.949</td>\n",
       "      <td>72.998</td>\n",
       "      <td>25.928</td>\n",
       "      <td>40.919</td>\n",
       "      <td>23.620</td>\n",
       "      <td>51.422</td>\n",
       "      <td>23.444</td>\n",
       "      <td>52.879</td>\n",
       "      <td>36.167</td>\n",
       "      <td>46.204</td>\n",
       "      <td>30.251</td>\n",
       "      <td>54.024</td>\n",
       "      <td>53.513</td>\n",
       "      <td>41.011</td>\n",
       "      <td>38.750</td>\n",
       "      <td>43.375</td>\n",
       "      <td>49.507</td>\n",
       "      <td>50.254</td>\n",
       "      <td>65.976</td>\n",
       "      <td>53.456</td>\n",
       "      <td>4.475</td>\n",
       "      <td>52.289</td>\n",
       "      <td>42.433</td>\n",
       "      <td>99.603</td>\n",
       "      <td>35.744</td>\n",
       "      <td>3.510</td>\n",
       "      <td>36.186</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>1618170302800</td>\n",
       "      <td>2800</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.641</td>\n",
       "      <td>37.653</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.714</td>\n",
       "      <td>58.217</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.572</td>\n",
       "      <td>37.848</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.876</td>\n",
       "      <td>34.869</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.664</td>\n",
       "      <td>54.464</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.084</td>\n",
       "      <td>50.064</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>67.863</td>\n",
       "      <td>13.129</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.573</td>\n",
       "      <td>46.582</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>47.434</td>\n",
       "      <td>35.676</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.587</td>\n",
       "      <td>24.854</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.049</td>\n",
       "      <td>17.593</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>59.689</td>\n",
       "      <td>23.137</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.667</td>\n",
       "      <td>37.894</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.304</td>\n",
       "      <td>32.116</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.114</td>\n",
       "      <td>54.295</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.853</td>\n",
       "      <td>39.899</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.333</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.058</td>\n",
       "      <td>66.011</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>61.791</td>\n",
       "      <td>4.248</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>56.975</td>\n",
       "      <td>42.478</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.442</td>\n",
       "      <td>34.854</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.506</td>\n",
       "      <td>35.518</td>\n",
       "      <td>42.66</td>\n",
       "      <td>41.06</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2800</td>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.641</td>\n",
       "      <td>37.653</td>\n",
       "      <td>73.714</td>\n",
       "      <td>58.217</td>\n",
       "      <td>64.572</td>\n",
       "      <td>37.848</td>\n",
       "      <td>57.876</td>\n",
       "      <td>34.869</td>\n",
       "      <td>62.664</td>\n",
       "      <td>54.464</td>\n",
       "      <td>71.084</td>\n",
       "      <td>50.064</td>\n",
       "      <td>67.863</td>\n",
       "      <td>13.129</td>\n",
       "      <td>80.573</td>\n",
       "      <td>46.582</td>\n",
       "      <td>47.434</td>\n",
       "      <td>35.676</td>\n",
       "      <td>74.587</td>\n",
       "      <td>24.854</td>\n",
       "      <td>44.049</td>\n",
       "      <td>17.593</td>\n",
       "      <td>59.689</td>\n",
       "      <td>23.137</td>\n",
       "      <td>60.667</td>\n",
       "      <td>37.894</td>\n",
       "      <td>48.304</td>\n",
       "      <td>32.116</td>\n",
       "      <td>71.114</td>\n",
       "      <td>54.295</td>\n",
       "      <td>41.853</td>\n",
       "      <td>39.899</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.333</td>\n",
       "      <td>57.058</td>\n",
       "      <td>66.011</td>\n",
       "      <td>61.791</td>\n",
       "      <td>4.248</td>\n",
       "      <td>56.975</td>\n",
       "      <td>42.478</td>\n",
       "      <td>95.442</td>\n",
       "      <td>34.854</td>\n",
       "      <td>7.506</td>\n",
       "      <td>35.518</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>1618170302840</td>\n",
       "      <td>2840</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.670</td>\n",
       "      <td>37.698</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.717</td>\n",
       "      <td>58.272</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.588</td>\n",
       "      <td>37.976</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.822</td>\n",
       "      <td>34.981</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.692</td>\n",
       "      <td>54.525</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.157</td>\n",
       "      <td>50.084</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>67.920</td>\n",
       "      <td>13.217</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.623</td>\n",
       "      <td>46.635</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>47.291</td>\n",
       "      <td>35.944</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.608</td>\n",
       "      <td>24.876</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.153</td>\n",
       "      <td>17.627</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>59.838</td>\n",
       "      <td>23.165</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.779</td>\n",
       "      <td>37.871</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.346</td>\n",
       "      <td>32.153</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.343</td>\n",
       "      <td>54.288</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.892</td>\n",
       "      <td>39.955</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.738</td>\n",
       "      <td>52.367</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.191</td>\n",
       "      <td>66.007</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>61.910</td>\n",
       "      <td>4.274</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.064</td>\n",
       "      <td>42.520</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.393</td>\n",
       "      <td>34.861</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.562</td>\n",
       "      <td>35.527</td>\n",
       "      <td>42.79</td>\n",
       "      <td>41.56</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2840</td>\n",
       "      <td>71</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.670</td>\n",
       "      <td>37.698</td>\n",
       "      <td>73.717</td>\n",
       "      <td>58.272</td>\n",
       "      <td>64.588</td>\n",
       "      <td>37.976</td>\n",
       "      <td>57.822</td>\n",
       "      <td>34.981</td>\n",
       "      <td>62.692</td>\n",
       "      <td>54.525</td>\n",
       "      <td>71.157</td>\n",
       "      <td>50.084</td>\n",
       "      <td>67.920</td>\n",
       "      <td>13.217</td>\n",
       "      <td>80.623</td>\n",
       "      <td>46.635</td>\n",
       "      <td>47.291</td>\n",
       "      <td>35.944</td>\n",
       "      <td>74.608</td>\n",
       "      <td>24.876</td>\n",
       "      <td>44.153</td>\n",
       "      <td>17.627</td>\n",
       "      <td>59.838</td>\n",
       "      <td>23.165</td>\n",
       "      <td>60.779</td>\n",
       "      <td>37.871</td>\n",
       "      <td>48.346</td>\n",
       "      <td>32.153</td>\n",
       "      <td>71.343</td>\n",
       "      <td>54.288</td>\n",
       "      <td>41.892</td>\n",
       "      <td>39.955</td>\n",
       "      <td>44.738</td>\n",
       "      <td>52.367</td>\n",
       "      <td>57.191</td>\n",
       "      <td>66.007</td>\n",
       "      <td>61.910</td>\n",
       "      <td>4.274</td>\n",
       "      <td>57.064</td>\n",
       "      <td>42.520</td>\n",
       "      <td>95.393</td>\n",
       "      <td>34.861</td>\n",
       "      <td>7.562</td>\n",
       "      <td>35.527</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>1618170302880</td>\n",
       "      <td>2880</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.700</td>\n",
       "      <td>37.743</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.715</td>\n",
       "      <td>58.328</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.604</td>\n",
       "      <td>38.105</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.770</td>\n",
       "      <td>35.093</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.713</td>\n",
       "      <td>54.588</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.225</td>\n",
       "      <td>50.106</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>67.974</td>\n",
       "      <td>13.313</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.671</td>\n",
       "      <td>46.693</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>47.145</td>\n",
       "      <td>36.211</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.627</td>\n",
       "      <td>24.897</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.258</td>\n",
       "      <td>17.668</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>59.985</td>\n",
       "      <td>23.195</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.889</td>\n",
       "      <td>37.848</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.387</td>\n",
       "      <td>32.188</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.569</td>\n",
       "      <td>54.281</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.929</td>\n",
       "      <td>40.009</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.405</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.324</td>\n",
       "      <td>66.000</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>62.028</td>\n",
       "      <td>4.301</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.154</td>\n",
       "      <td>42.565</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.345</td>\n",
       "      <td>34.868</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.619</td>\n",
       "      <td>35.535</td>\n",
       "      <td>42.94</td>\n",
       "      <td>42.25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2880</td>\n",
       "      <td>72</td>\n",
       "      <td>2.285535e+09</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2b57rbw94i9ohnbch52owvqtq</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.065</td>\n",
       "      <td>36.448</td>\n",
       "      <td>1.618170e+12</td>\n",
       "      <td>2021-04-12T06:41:56Z</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>56.0</td>\n",
       "      <td>Back</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>140.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>141.0</td>\n",
       "      <td>69.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>212.0</td>\n",
       "      <td>11.4</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>213.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2.861039e+09</td>\n",
       "      <td>318.0</td>\n",
       "      <td>0.00001902</td>\n",
       "      <td>2.861894e+09</td>\n",
       "      <td>178.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9ajh8tm9rl0i2sa09c9dfu0h5</td>\n",
       "      <td>J. Hendry</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>871279.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2700.0</td>\n",
       "      <td>40.95</td>\n",
       "      <td>47.192</td>\n",
       "      <td>67.979092</td>\n",
       "      <td>27.751225</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.028202</td>\n",
       "      <td>40.95</td>\n",
       "      <td>47.192</td>\n",
       "      <td>73.700</td>\n",
       "      <td>37.743</td>\n",
       "      <td>73.715</td>\n",
       "      <td>58.328</td>\n",
       "      <td>64.604</td>\n",
       "      <td>38.105</td>\n",
       "      <td>57.770</td>\n",
       "      <td>35.093</td>\n",
       "      <td>62.713</td>\n",
       "      <td>54.588</td>\n",
       "      <td>71.225</td>\n",
       "      <td>50.106</td>\n",
       "      <td>67.974</td>\n",
       "      <td>13.313</td>\n",
       "      <td>80.671</td>\n",
       "      <td>46.693</td>\n",
       "      <td>47.145</td>\n",
       "      <td>36.211</td>\n",
       "      <td>74.627</td>\n",
       "      <td>24.897</td>\n",
       "      <td>44.258</td>\n",
       "      <td>17.668</td>\n",
       "      <td>59.985</td>\n",
       "      <td>23.195</td>\n",
       "      <td>60.889</td>\n",
       "      <td>37.848</td>\n",
       "      <td>48.387</td>\n",
       "      <td>32.188</td>\n",
       "      <td>71.569</td>\n",
       "      <td>54.281</td>\n",
       "      <td>41.929</td>\n",
       "      <td>40.009</td>\n",
       "      <td>44.739</td>\n",
       "      <td>52.405</td>\n",
       "      <td>57.324</td>\n",
       "      <td>66.000</td>\n",
       "      <td>62.028</td>\n",
       "      <td>4.301</td>\n",
       "      <td>57.154</td>\n",
       "      <td>42.565</td>\n",
       "      <td>95.345</td>\n",
       "      <td>34.868</td>\n",
       "      <td>7.619</td>\n",
       "      <td>35.535</td>\n",
       "      <td>9</td>\n",
       "      <td>1102488</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>1618170302920</td>\n",
       "      <td>2920</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.730</td>\n",
       "      <td>37.787</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.707</td>\n",
       "      <td>58.385</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.617</td>\n",
       "      <td>38.235</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.720</td>\n",
       "      <td>35.206</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.727</td>\n",
       "      <td>54.654</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.285</td>\n",
       "      <td>50.132</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>68.024</td>\n",
       "      <td>13.416</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.716</td>\n",
       "      <td>46.754</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>46.995</td>\n",
       "      <td>36.476</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.645</td>\n",
       "      <td>24.920</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.362</td>\n",
       "      <td>17.717</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>60.130</td>\n",
       "      <td>23.228</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>60.998</td>\n",
       "      <td>37.824</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.429</td>\n",
       "      <td>32.223</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>71.790</td>\n",
       "      <td>54.272</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.963</td>\n",
       "      <td>40.062</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.742</td>\n",
       "      <td>52.446</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.457</td>\n",
       "      <td>65.991</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>62.144</td>\n",
       "      <td>4.329</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.245</td>\n",
       "      <td>42.611</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.298</td>\n",
       "      <td>34.875</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.677</td>\n",
       "      <td>35.542</td>\n",
       "      <td>43.13</td>\n",
       "      <td>42.79</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2920</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.730</td>\n",
       "      <td>37.787</td>\n",
       "      <td>73.707</td>\n",
       "      <td>58.385</td>\n",
       "      <td>64.617</td>\n",
       "      <td>38.235</td>\n",
       "      <td>57.720</td>\n",
       "      <td>35.206</td>\n",
       "      <td>62.727</td>\n",
       "      <td>54.654</td>\n",
       "      <td>71.285</td>\n",
       "      <td>50.132</td>\n",
       "      <td>68.024</td>\n",
       "      <td>13.416</td>\n",
       "      <td>80.716</td>\n",
       "      <td>46.754</td>\n",
       "      <td>46.995</td>\n",
       "      <td>36.476</td>\n",
       "      <td>74.645</td>\n",
       "      <td>24.920</td>\n",
       "      <td>44.362</td>\n",
       "      <td>17.717</td>\n",
       "      <td>60.130</td>\n",
       "      <td>23.228</td>\n",
       "      <td>60.998</td>\n",
       "      <td>37.824</td>\n",
       "      <td>48.429</td>\n",
       "      <td>32.223</td>\n",
       "      <td>71.790</td>\n",
       "      <td>54.272</td>\n",
       "      <td>41.963</td>\n",
       "      <td>40.062</td>\n",
       "      <td>44.742</td>\n",
       "      <td>52.446</td>\n",
       "      <td>57.457</td>\n",
       "      <td>65.991</td>\n",
       "      <td>62.144</td>\n",
       "      <td>4.329</td>\n",
       "      <td>57.245</td>\n",
       "      <td>42.611</td>\n",
       "      <td>95.298</td>\n",
       "      <td>34.875</td>\n",
       "      <td>7.677</td>\n",
       "      <td>35.542</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>1618170302960</td>\n",
       "      <td>2960</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>354626</td>\n",
       "      <td>4</td>\n",
       "      <td>73.760</td>\n",
       "      <td>37.832</td>\n",
       "      <td>0</td>\n",
       "      <td>466925</td>\n",
       "      <td>5</td>\n",
       "      <td>73.693</td>\n",
       "      <td>58.443</td>\n",
       "      <td>0</td>\n",
       "      <td>536323</td>\n",
       "      <td>16</td>\n",
       "      <td>64.628</td>\n",
       "      <td>38.366</td>\n",
       "      <td>0</td>\n",
       "      <td>554722</td>\n",
       "      <td>8</td>\n",
       "      <td>57.671</td>\n",
       "      <td>35.320</td>\n",
       "      <td>0</td>\n",
       "      <td>593009</td>\n",
       "      <td>92</td>\n",
       "      <td>62.736</td>\n",
       "      <td>54.722</td>\n",
       "      <td>0</td>\n",
       "      <td>606682</td>\n",
       "      <td>18</td>\n",
       "      <td>71.339</td>\n",
       "      <td>50.160</td>\n",
       "      <td>0</td>\n",
       "      <td>789193</td>\n",
       "      <td>15</td>\n",
       "      <td>68.069</td>\n",
       "      <td>13.527</td>\n",
       "      <td>0</td>\n",
       "      <td>968671</td>\n",
       "      <td>55</td>\n",
       "      <td>80.758</td>\n",
       "      <td>46.819</td>\n",
       "      <td>0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>7</td>\n",
       "      <td>46.841</td>\n",
       "      <td>36.740</td>\n",
       "      <td>0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>2</td>\n",
       "      <td>74.661</td>\n",
       "      <td>24.943</td>\n",
       "      <td>1</td>\n",
       "      <td>356560</td>\n",
       "      <td>27</td>\n",
       "      <td>44.466</td>\n",
       "      <td>17.774</td>\n",
       "      <td>1</td>\n",
       "      <td>733561</td>\n",
       "      <td>26</td>\n",
       "      <td>60.274</td>\n",
       "      <td>23.263</td>\n",
       "      <td>1</td>\n",
       "      <td>743228</td>\n",
       "      <td>17</td>\n",
       "      <td>61.106</td>\n",
       "      <td>37.801</td>\n",
       "      <td>1</td>\n",
       "      <td>752504</td>\n",
       "      <td>6</td>\n",
       "      <td>48.470</td>\n",
       "      <td>32.258</td>\n",
       "      <td>1</td>\n",
       "      <td>794887</td>\n",
       "      <td>21</td>\n",
       "      <td>72.008</td>\n",
       "      <td>54.263</td>\n",
       "      <td>1</td>\n",
       "      <td>871279</td>\n",
       "      <td>4</td>\n",
       "      <td>41.994</td>\n",
       "      <td>40.112</td>\n",
       "      <td>1</td>\n",
       "      <td>973617</td>\n",
       "      <td>5</td>\n",
       "      <td>44.747</td>\n",
       "      <td>52.490</td>\n",
       "      <td>1</td>\n",
       "      <td>1061319</td>\n",
       "      <td>29</td>\n",
       "      <td>57.590</td>\n",
       "      <td>65.981</td>\n",
       "      <td>1</td>\n",
       "      <td>1061321</td>\n",
       "      <td>25</td>\n",
       "      <td>62.260</td>\n",
       "      <td>4.358</td>\n",
       "      <td>1</td>\n",
       "      <td>1107910</td>\n",
       "      <td>34</td>\n",
       "      <td>57.338</td>\n",
       "      <td>42.660</td>\n",
       "      <td>3</td>\n",
       "      <td>465460</td>\n",
       "      <td>31</td>\n",
       "      <td>95.252</td>\n",
       "      <td>34.882</td>\n",
       "      <td>4.0</td>\n",
       "      <td>606868.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>7.735</td>\n",
       "      <td>35.549</td>\n",
       "      <td>43.30</td>\n",
       "      <td>43.26</td>\n",
       "      <td>0.000</td>\n",
       "      <td>2960</td>\n",
       "      <td>74</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>73.760</td>\n",
       "      <td>37.832</td>\n",
       "      <td>73.693</td>\n",
       "      <td>58.443</td>\n",
       "      <td>64.628</td>\n",
       "      <td>38.366</td>\n",
       "      <td>57.671</td>\n",
       "      <td>35.320</td>\n",
       "      <td>62.736</td>\n",
       "      <td>54.722</td>\n",
       "      <td>71.339</td>\n",
       "      <td>50.160</td>\n",
       "      <td>68.069</td>\n",
       "      <td>13.527</td>\n",
       "      <td>80.758</td>\n",
       "      <td>46.819</td>\n",
       "      <td>46.841</td>\n",
       "      <td>36.740</td>\n",
       "      <td>74.661</td>\n",
       "      <td>24.943</td>\n",
       "      <td>44.466</td>\n",
       "      <td>17.774</td>\n",
       "      <td>60.274</td>\n",
       "      <td>23.263</td>\n",
       "      <td>61.106</td>\n",
       "      <td>37.801</td>\n",
       "      <td>48.470</td>\n",
       "      <td>32.258</td>\n",
       "      <td>72.008</td>\n",
       "      <td>54.263</td>\n",
       "      <td>41.994</td>\n",
       "      <td>40.112</td>\n",
       "      <td>44.747</td>\n",
       "      <td>52.490</td>\n",
       "      <td>57.590</td>\n",
       "      <td>65.981</td>\n",
       "      <td>62.260</td>\n",
       "      <td>4.358</td>\n",
       "      <td>57.338</td>\n",
       "      <td>42.660</td>\n",
       "      <td>95.252</td>\n",
       "      <td>34.882</td>\n",
       "      <td>7.735</td>\n",
       "      <td>35.549</td>\n",
       "      <td>tbd</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 264 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        timestamp  time_of_current_half  half_indicator  match_not_in_play  \\\n",
       "0   1618170300000                     0               1                  0   \n",
       "1   1618170300040                    40               1                  0   \n",
       "2   1618170300080                    80               1                  0   \n",
       "3   1618170300120                   120               1                  0   \n",
       "4   1618170300160                   160               1                  0   \n",
       "..            ...                   ...             ...                ...   \n",
       "70  1618170302800                  2800               1                  0   \n",
       "71  1618170302840                  2840               1                  0   \n",
       "72  1618170302880                  2880               1                  0   \n",
       "73  1618170302920                  2920               1                  0   \n",
       "74  1618170302960                  2960               1                  0   \n",
       "\n",
       "    player_1_teamId  player_1_objectId  player_1_jerseyNum  player_1_x_x  \\\n",
       "0                 0             354626                   4        73.662   \n",
       "1                 0             354626                   4        73.687   \n",
       "2                 0             354626                   4        73.712   \n",
       "3                 0             354626                   4        73.738   \n",
       "4                 0             354626                   4        73.764   \n",
       "..              ...                ...                 ...           ...   \n",
       "70                0             354626                   4        73.641   \n",
       "71                0             354626                   4        73.670   \n",
       "72                0             354626                   4        73.700   \n",
       "73                0             354626                   4        73.730   \n",
       "74                0             354626                   4        73.760   \n",
       "\n",
       "    player_1_y_x  player_2_teamId  player_2_objectId  player_2_jerseyNum  \\\n",
       "0         37.017                0             466925                   5   \n",
       "1         37.030                0             466925                   5   \n",
       "2         37.043                0             466925                   5   \n",
       "3         37.055                0             466925                   5   \n",
       "4         37.068                0             466925                   5   \n",
       "..           ...              ...                ...                 ...   \n",
       "70        37.653                0             466925                   5   \n",
       "71        37.698                0             466925                   5   \n",
       "72        37.743                0             466925                   5   \n",
       "73        37.787                0             466925                   5   \n",
       "74        37.832                0             466925                   5   \n",
       "\n",
       "    player_2_x_x  player_2_y_x  player_3_teamId  player_3_objectId  \\\n",
       "0         71.057        58.949                0             536323   \n",
       "1         71.108        58.932                0             536323   \n",
       "2         71.159        58.914                0             536323   \n",
       "3         71.208        58.897                0             536323   \n",
       "4         71.258        58.880                0             536323   \n",
       "..           ...           ...              ...                ...   \n",
       "70        73.714        58.217                0             536323   \n",
       "71        73.717        58.272                0             536323   \n",
       "72        73.715        58.328                0             536323   \n",
       "73        73.707        58.385                0             536323   \n",
       "74        73.693        58.443                0             536323   \n",
       "\n",
       "    player_3_jerseyNum  player_3_x_x  player_3_y_x  player_4_teamId  \\\n",
       "0                   16        64.404        33.888                0   \n",
       "1                   16        64.428        33.985                0   \n",
       "2                   16        64.451        34.082                0   \n",
       "3                   16        64.473        34.177                0   \n",
       "4                   16        64.495        34.270                0   \n",
       "..                 ...           ...           ...              ...   \n",
       "70                  16        64.572        37.848                0   \n",
       "71                  16        64.588        37.976                0   \n",
       "72                  16        64.604        38.105                0   \n",
       "73                  16        64.617        38.235                0   \n",
       "74                  16        64.628        38.366                0   \n",
       "\n",
       "    player_4_objectId  player_4_jerseyNum  player_4_x_x  player_4_y_x  \\\n",
       "0              554722                   8        64.224        33.844   \n",
       "1              554722                   8        64.125        33.811   \n",
       "2              554722                   8        64.027        33.776   \n",
       "3              554722                   8        63.928        33.741   \n",
       "4              554722                   8        63.830        33.704   \n",
       "..                ...                 ...           ...           ...   \n",
       "70             554722                   8        57.876        34.869   \n",
       "71             554722                   8        57.822        34.981   \n",
       "72             554722                   8        57.770        35.093   \n",
       "73             554722                   8        57.720        35.206   \n",
       "74             554722                   8        57.671        35.320   \n",
       "\n",
       "    player_5_teamId  player_5_objectId  player_5_jerseyNum  player_5_x_x  \\\n",
       "0                 0             593009                  92        57.683   \n",
       "1                 0             593009                  92        57.690   \n",
       "2                 0             593009                  92        57.698   \n",
       "3                 0             593009                  92        57.705   \n",
       "4                 0             593009                  92        57.713   \n",
       "..              ...                ...                 ...           ...   \n",
       "70                0             593009                  92        62.664   \n",
       "71                0             593009                  92        62.692   \n",
       "72                0             593009                  92        62.713   \n",
       "73                0             593009                  92        62.727   \n",
       "74                0             593009                  92        62.736   \n",
       "\n",
       "    player_5_y_x  player_6_teamId  player_6_objectId  player_6_jerseyNum  \\\n",
       "0         50.663                0             606682                  18   \n",
       "1         50.682                0             606682                  18   \n",
       "2         50.701                0             606682                  18   \n",
       "3         50.721                0             606682                  18   \n",
       "4         50.742                0             606682                  18   \n",
       "..           ...              ...                ...                 ...   \n",
       "70        54.464                0             606682                  18   \n",
       "71        54.525                0             606682                  18   \n",
       "72        54.588                0             606682                  18   \n",
       "73        54.654                0             606682                  18   \n",
       "74        54.722                0             606682                  18   \n",
       "\n",
       "    player_6_x_x  player_6_y_x  player_7_teamId  player_7_objectId  \\\n",
       "0         66.209        47.268                0             789193   \n",
       "1         66.214        47.303                0             789193   \n",
       "2         66.219        47.335                0             789193   \n",
       "3         66.224        47.364                0             789193   \n",
       "4         66.229        47.391                0             789193   \n",
       "..           ...           ...              ...                ...   \n",
       "70        71.084        50.064                0             789193   \n",
       "71        71.157        50.084                0             789193   \n",
       "72        71.225        50.106                0             789193   \n",
       "73        71.285        50.132                0             789193   \n",
       "74        71.339        50.160                0             789193   \n",
       "\n",
       "    player_7_jerseyNum  player_7_x_x  player_7_y_x  player_8_teamId  \\\n",
       "0                   15        62.236        13.515                0   \n",
       "1                   15        62.295        13.516                0   \n",
       "2                   15        62.354        13.517                0   \n",
       "3                   15        62.413        13.518                0   \n",
       "4                   15        62.472        13.519                0   \n",
       "..                 ...           ...           ...              ...   \n",
       "70                  15        67.863        13.129                0   \n",
       "71                  15        67.920        13.217                0   \n",
       "72                  15        67.974        13.313                0   \n",
       "73                  15        68.024        13.416                0   \n",
       "74                  15        68.069        13.527                0   \n",
       "\n",
       "    player_8_objectId  player_8_jerseyNum  player_8_x_x  player_8_y_x  \\\n",
       "0              968671                  55        78.175        45.493   \n",
       "1              968671                  55        78.174        45.492   \n",
       "2              968671                  55        78.173        45.491   \n",
       "3              968671                  55        78.173        45.491   \n",
       "4              968671                  55        78.173        45.491   \n",
       "..                ...                 ...           ...           ...   \n",
       "70             968671                  55        80.573        46.582   \n",
       "71             968671                  55        80.623        46.635   \n",
       "72             968671                  55        80.671        46.693   \n",
       "73             968671                  55        80.716        46.754   \n",
       "74             968671                  55        80.758        46.819   \n",
       "\n",
       "    player_9_teamId  player_9_objectId  player_9_jerseyNum  player_9_x_x  \\\n",
       "0                 0            1102488                   7        53.960   \n",
       "1                 0            1102488                   7        53.882   \n",
       "2                 0            1102488                   7        53.806   \n",
       "3                 0            1102488                   7        53.729   \n",
       "4                 0            1102488                   7        53.654   \n",
       "..              ...                ...                 ...           ...   \n",
       "70                0            1102488                   7        47.434   \n",
       "71                0            1102488                   7        47.291   \n",
       "72                0            1102488                   7        47.145   \n",
       "73                0            1102488                   7        46.995   \n",
       "74                0            1102488                   7        46.841   \n",
       "\n",
       "    player_9_y_x  player_10_teamId  player_10_objectId  player_10_jerseyNum  \\\n",
       "0         25.734                 0             1108110                    2   \n",
       "1         25.801                 0             1108110                    2   \n",
       "2         25.859                 0             1108110                    2   \n",
       "3         25.908                 0             1108110                    2   \n",
       "4         25.949                 0             1108110                    2   \n",
       "..           ...               ...                 ...                  ...   \n",
       "70        35.676                 0             1108110                    2   \n",
       "71        35.944                 0             1108110                    2   \n",
       "72        36.211                 0             1108110                    2   \n",
       "73        36.476                 0             1108110                    2   \n",
       "74        36.740                 0             1108110                    2   \n",
       "\n",
       "    player_10_x_x  player_10_y_x  player_11_teamId  player_11_objectId  \\\n",
       "0          72.800         25.964                 1              356560   \n",
       "1          72.851         25.956                 1              356560   \n",
       "2          72.901         25.948                 1              356560   \n",
       "3          72.950         25.938                 1              356560   \n",
       "4          72.998         25.928                 1              356560   \n",
       "..            ...            ...               ...                 ...   \n",
       "70         74.587         24.854                 1              356560   \n",
       "71         74.608         24.876                 1              356560   \n",
       "72         74.627         24.897                 1              356560   \n",
       "73         74.645         24.920                 1              356560   \n",
       "74         74.661         24.943                 1              356560   \n",
       "\n",
       "    player_11_jerseyNum  player_11_x_x  player_11_y_x  player_12_teamId  \\\n",
       "0                    27         40.913         23.519                 1   \n",
       "1                    27         40.913         23.575                 1   \n",
       "2                    27         40.914         23.610                 1   \n",
       "3                    27         40.916         23.625                 1   \n",
       "4                    27         40.919         23.620                 1   \n",
       "..                  ...            ...            ...               ...   \n",
       "70                   27         44.049         17.593                 1   \n",
       "71                   27         44.153         17.627                 1   \n",
       "72                   27         44.258         17.668                 1   \n",
       "73                   27         44.362         17.717                 1   \n",
       "74                   27         44.466         17.774                 1   \n",
       "\n",
       "    player_12_objectId  player_12_jerseyNum  player_12_x_x  player_12_y_x  \\\n",
       "0               733561                   26         51.211         23.229   \n",
       "1               733561                   26         51.264         23.294   \n",
       "2               733561                   26         51.317         23.351   \n",
       "3               733561                   26         51.369         23.401   \n",
       "4               733561                   26         51.422         23.444   \n",
       "..                 ...                  ...            ...            ...   \n",
       "70              733561                   26         59.689         23.137   \n",
       "71              733561                   26         59.838         23.165   \n",
       "72              733561                   26         59.985         23.195   \n",
       "73              733561                   26         60.130         23.228   \n",
       "74              733561                   26         60.274         23.263   \n",
       "\n",
       "    player_13_teamId  player_13_objectId  player_13_jerseyNum  player_13_x_x  \\\n",
       "0                  1              743228                   17         52.636   \n",
       "1                  1              743228                   17         52.695   \n",
       "2                  1              743228                   17         52.755   \n",
       "3                  1              743228                   17         52.816   \n",
       "4                  1              743228                   17         52.879   \n",
       "..               ...                 ...                  ...            ...   \n",
       "70                 1              743228                   17         60.667   \n",
       "71                 1              743228                   17         60.779   \n",
       "72                 1              743228                   17         60.889   \n",
       "73                 1              743228                   17         60.998   \n",
       "74                 1              743228                   17         61.106   \n",
       "\n",
       "    player_13_y_x  player_14_teamId  player_14_objectId  player_14_jerseyNum  \\\n",
       "0          35.883                 1              752504                    6   \n",
       "1          35.954                 1              752504                    6   \n",
       "2          36.026                 1              752504                    6   \n",
       "3          36.097                 1              752504                    6   \n",
       "4          36.167                 1              752504                    6   \n",
       "..            ...               ...                 ...                  ...   \n",
       "70         37.894                 1              752504                    6   \n",
       "71         37.871                 1              752504                    6   \n",
       "72         37.848                 1              752504                    6   \n",
       "73         37.824                 1              752504                    6   \n",
       "74         37.801                 1              752504                    6   \n",
       "\n",
       "    player_14_x_x  player_14_y_x  player_15_teamId  player_15_objectId  \\\n",
       "0          46.126         30.051                 1              794887   \n",
       "1          46.146         30.102                 1              794887   \n",
       "2          46.165         30.153                 1              794887   \n",
       "3          46.185         30.202                 1              794887   \n",
       "4          46.204         30.251                 1              794887   \n",
       "..            ...            ...               ...                 ...   \n",
       "70         48.304         32.116                 1              794887   \n",
       "71         48.346         32.153                 1              794887   \n",
       "72         48.387         32.188                 1              794887   \n",
       "73         48.429         32.223                 1              794887   \n",
       "74         48.470         32.258                 1              794887   \n",
       "\n",
       "    player_15_jerseyNum  player_15_x_x  player_15_y_x  player_16_teamId  \\\n",
       "0                    21         53.199         53.248                 1   \n",
       "1                    21         53.405         53.319                 1   \n",
       "2                    21         53.611         53.387                 1   \n",
       "3                    21         53.817         53.452                 1   \n",
       "4                    21         54.024         53.513                 1   \n",
       "..                  ...            ...            ...               ...   \n",
       "70                   21         71.114         54.295                 1   \n",
       "71                   21         71.343         54.288                 1   \n",
       "72                   21         71.569         54.281                 1   \n",
       "73                   21         71.790         54.272                 1   \n",
       "74                   21         72.008         54.263                 1   \n",
       "\n",
       "    player_16_objectId  player_16_jerseyNum  player_16_x_x  player_16_y_x  \\\n",
       "0               871279                    4         41.628         38.497   \n",
       "1               871279                    4         41.450         38.568   \n",
       "2               871279                    4         41.287         38.634   \n",
       "3               871279                    4         41.141         38.694   \n",
       "4               871279                    4         41.011         38.750   \n",
       "..                 ...                  ...            ...            ...   \n",
       "70              871279                    4         41.853         39.899   \n",
       "71              871279                    4         41.892         39.955   \n",
       "72              871279                    4         41.929         40.009   \n",
       "73              871279                    4         41.963         40.062   \n",
       "74              871279                    4         41.994         40.112   \n",
       "\n",
       "    player_17_teamId  player_17_objectId  player_17_jerseyNum  player_17_x_x  \\\n",
       "0                  1              973617                    5         43.109   \n",
       "1                  1              973617                    5         43.177   \n",
       "2                  1              973617                    5         43.244   \n",
       "3                  1              973617                    5         43.310   \n",
       "4                  1              973617                    5         43.375   \n",
       "..               ...                 ...                  ...            ...   \n",
       "70                 1              973617                    5         44.739   \n",
       "71                 1              973617                    5         44.738   \n",
       "72                 1              973617                    5         44.739   \n",
       "73                 1              973617                    5         44.742   \n",
       "74                 1              973617                    5         44.747   \n",
       "\n",
       "    player_17_y_x  player_18_teamId  player_18_objectId  player_18_jerseyNum  \\\n",
       "0          49.299                 1             1061319                   29   \n",
       "1          49.351                 1             1061319                   29   \n",
       "2          49.402                 1             1061319                   29   \n",
       "3          49.455                 1             1061319                   29   \n",
       "4          49.507                 1             1061319                   29   \n",
       "..            ...               ...                 ...                  ...   \n",
       "70         52.333                 1             1061319                   29   \n",
       "71         52.367                 1             1061319                   29   \n",
       "72         52.405                 1             1061319                   29   \n",
       "73         52.446                 1             1061319                   29   \n",
       "74         52.490                 1             1061319                   29   \n",
       "\n",
       "    player_18_x_x  player_18_y_x  player_19_teamId  player_19_objectId  \\\n",
       "0          50.017         65.675                 1             1061321   \n",
       "1          50.075         65.756                 1             1061321   \n",
       "2          50.134         65.834                 1             1061321   \n",
       "3          50.194         65.907                 1             1061321   \n",
       "4          50.254         65.976                 1             1061321   \n",
       "..            ...            ...               ...                 ...   \n",
       "70         57.058         66.011                 1             1061321   \n",
       "71         57.191         66.007                 1             1061321   \n",
       "72         57.324         66.000                 1             1061321   \n",
       "73         57.457         65.991                 1             1061321   \n",
       "74         57.590         65.981                 1             1061321   \n",
       "\n",
       "    player_19_jerseyNum  player_19_x_x  player_19_y_x  player_20_teamId  \\\n",
       "0                    25         53.052          4.563                 1   \n",
       "1                    25         53.152          4.543                 1   \n",
       "2                    25         53.253          4.521                 1   \n",
       "3                    25         53.354          4.499                 1   \n",
       "4                    25         53.456          4.475                 1   \n",
       "..                  ...            ...            ...               ...   \n",
       "70                   25         61.791          4.248                 1   \n",
       "71                   25         61.910          4.274                 1   \n",
       "72                   25         62.028          4.301                 1   \n",
       "73                   25         62.144          4.329                 1   \n",
       "74                   25         62.260          4.358                 1   \n",
       "\n",
       "    player_20_objectId  player_20_jerseyNum  player_20_x_x  player_20_y_x  \\\n",
       "0              1107910                   34         52.170         42.621   \n",
       "1              1107910                   34         52.198         42.571   \n",
       "2              1107910                   34         52.227         42.523   \n",
       "3              1107910                   34         52.257         42.477   \n",
       "4              1107910                   34         52.289         42.433   \n",
       "..                 ...                  ...            ...            ...   \n",
       "70             1107910                   34         56.975         42.478   \n",
       "71             1107910                   34         57.064         42.520   \n",
       "72             1107910                   34         57.154         42.565   \n",
       "73             1107910                   34         57.245         42.611   \n",
       "74             1107910                   34         57.338         42.660   \n",
       "\n",
       "    player_21_teamId  player_21_objectId  player_21_jerseyNum  player_21_x_x  \\\n",
       "0                  3              465460                   31         99.751   \n",
       "1                  3              465460                   31         99.714   \n",
       "2                  3              465460                   31         99.677   \n",
       "3                  3              465460                   31         99.640   \n",
       "4                  3              465460                   31         99.603   \n",
       "..               ...                 ...                  ...            ...   \n",
       "70                 3              465460                   31         95.442   \n",
       "71                 3              465460                   31         95.393   \n",
       "72                 3              465460                   31         95.345   \n",
       "73                 3              465460                   31         95.298   \n",
       "74                 3              465460                   31         95.252   \n",
       "\n",
       "    player_21_y_x  player_22_teamId  player_22_objectId  player_22_jerseyNum  \\\n",
       "0          35.691               4.0            606868.0                 28.0   \n",
       "1          35.704               4.0            606868.0                 28.0   \n",
       "2          35.717               4.0            606868.0                 28.0   \n",
       "3          35.730               4.0            606868.0                 28.0   \n",
       "4          35.744               4.0            606868.0                 28.0   \n",
       "..            ...               ...                 ...                  ...   \n",
       "70         34.854               4.0            606868.0                 28.0   \n",
       "71         34.861               4.0            606868.0                 28.0   \n",
       "72         34.868               4.0            606868.0                 28.0   \n",
       "73         34.875               4.0            606868.0                 28.0   \n",
       "74         34.882               4.0            606868.0                 28.0   \n",
       "\n",
       "    player_22_x_x  player_22_y_x  ball_x  ball_y  ball_z  timeMilliSec  \\\n",
       "0           3.522         35.925   52.61   37.47   0.000             0   \n",
       "1           3.502         36.013   52.12   37.55   0.071            40   \n",
       "2           3.494         36.086   51.62   37.63   0.126            80   \n",
       "3           3.497         36.143   51.12   37.71   0.165           120   \n",
       "4           3.510         36.186   50.63   37.79   0.188           160   \n",
       "..            ...            ...     ...     ...     ...           ...   \n",
       "70          7.506         35.518   42.66   41.06   0.000          2800   \n",
       "71          7.562         35.527   42.79   41.56   0.000          2840   \n",
       "72          7.619         35.535   42.94   42.25   0.000          2880   \n",
       "73          7.677         35.542   43.13   42.79   0.000          2920   \n",
       "74          7.735         35.549   43.30   43.26   0.000          2960   \n",
       "\n",
       "    frame_id            id  eventId  typeId  periodId  timeMin  timeSec  \\\n",
       "0          0  2.285535e+09      3.0     1.0       1.0      0.0      0.0   \n",
       "1          1           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "2          2           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "3          3           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "4          4           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "..       ...           ...      ...     ...       ...      ...      ...   \n",
       "70        70           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "71        71           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "72        72  2.285535e+09      4.0     1.0       1.0      0.0      3.0   \n",
       "73        73           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "74        74           NaN      NaN     NaN       NaN      NaN      NaN   \n",
       "\n",
       "                 contestantId  outcome       x       y     timeStamp  \\\n",
       "0   2b57rbw94i9ohnbch52owvqtq      1.0  52.500  34.000  1.618170e+12   \n",
       "1                         NaN      NaN     NaN     NaN           NaN   \n",
       "2                         NaN      NaN     NaN     NaN           NaN   \n",
       "3                         NaN      NaN     NaN     NaN           NaN   \n",
       "4                         NaN      NaN     NaN     NaN           NaN   \n",
       "..                        ...      ...     ...     ...           ...   \n",
       "70                        NaN      NaN     NaN     NaN           NaN   \n",
       "71                        NaN      NaN     NaN     NaN           NaN   \n",
       "72  2b57rbw94i9ohnbch52owvqtq      1.0  37.065  36.448  1.618170e+12   \n",
       "73                        NaN      NaN     NaN     NaN           NaN   \n",
       "74                        NaN      NaN     NaN     NaN           NaN   \n",
       "\n",
       "            lastModified  qualifier_0_id  qualifier_0_qualifierId  \\\n",
       "0   2021-04-12T06:41:52Z    2.861039e+09                     56.0   \n",
       "1                    NaN             NaN                      NaN   \n",
       "2                    NaN             NaN                      NaN   \n",
       "3                    NaN             NaN                      NaN   \n",
       "4                    NaN             NaN                      NaN   \n",
       "..                   ...             ...                      ...   \n",
       "70                   NaN             NaN                      NaN   \n",
       "71                   NaN             NaN                      NaN   \n",
       "72  2021-04-12T06:41:56Z    2.861039e+09                     56.0   \n",
       "73                   NaN             NaN                      NaN   \n",
       "74                   NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_0_value  qualifier_1_id  qualifier_1_qualifierId  \\\n",
       "0               Back    2.861039e+09                    140.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              Back    2.861039e+09                    140.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_1_value  qualifier_2_id  qualifier_2_qualifierId  \\\n",
       "0               35.2    2.861039e+09                    141.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              39.0    2.861039e+09                    141.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_2_value  qualifier_3_id  qualifier_3_qualifierId  \\\n",
       "0               53.4    2.861039e+09                    212.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              69.4    2.861039e+09                    212.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_3_value  qualifier_4_id  qualifier_4_qualifierId  \\\n",
       "0               15.7    2.861039e+09                    213.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72              11.4    2.861039e+09                    213.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_4_value  qualifier_5_id  qualifier_5_qualifierId  \\\n",
       "0                3.0    2.861039e+09                    279.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72               1.2    2.861039e+09                    318.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_5_value  qualifier_6_id  qualifier_6_qualifierId  \\\n",
       "0                  S    2.861039e+09                    318.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72        0.00001902    2.861894e+09                    178.0   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_6_value  qualifier_7_id  qualifier_7_qualifierId  \\\n",
       "0         0.00002164    2.861894e+09                    178.0   \n",
       "1                NaN             NaN                      NaN   \n",
       "2                NaN             NaN                      NaN   \n",
       "3                NaN             NaN                      NaN   \n",
       "4                NaN             NaN                      NaN   \n",
       "..               ...             ...                      ...   \n",
       "70               NaN             NaN                      NaN   \n",
       "71               NaN             NaN                      NaN   \n",
       "72               NaN             NaN                      NaN   \n",
       "73               NaN             NaN                      NaN   \n",
       "74               NaN             NaN                      NaN   \n",
       "\n",
       "   qualifier_7_value                   playerId    playerName  sequenceId  \\\n",
       "0                NaN  1d2fpmtdglpqwyhnc657n77it  A. Hjulsager         1.0   \n",
       "1                NaN                        NaN           NaN         NaN   \n",
       "2                NaN                        NaN           NaN         NaN   \n",
       "3                NaN                        NaN           NaN         NaN   \n",
       "4                NaN                        NaN           NaN         NaN   \n",
       "..               ...                        ...           ...         ...   \n",
       "70               NaN                        NaN           NaN         NaN   \n",
       "71               NaN                        NaN           NaN         NaN   \n",
       "72               NaN  9ajh8tm9rl0i2sa09c9dfu0h5     J. Hendry         1.0   \n",
       "73               NaN                        NaN           NaN         NaN   \n",
       "74               NaN                        NaN           NaN         NaN   \n",
       "\n",
       "    possessionId  qualifier_8_id  qualifier_8_qualifierId qualifier_8_value  \\\n",
       "0            1.0             NaN                      NaN               NaN   \n",
       "1            NaN             NaN                      NaN               NaN   \n",
       "2            NaN             NaN                      NaN               NaN   \n",
       "3            NaN             NaN                      NaN               NaN   \n",
       "4            NaN             NaN                      NaN               NaN   \n",
       "..           ...             ...                      ...               ...   \n",
       "70           NaN             NaN                      NaN               NaN   \n",
       "71           NaN             NaN                      NaN               NaN   \n",
       "72           1.0             NaN                      NaN               NaN   \n",
       "73           NaN             NaN                      NaN               NaN   \n",
       "74           NaN             NaN                      NaN               NaN   \n",
       "\n",
       "    qualifier_9_id  qualifier_9_qualifierId  qualifier_10_id  \\\n",
       "0              NaN                      NaN              NaN   \n",
       "1              NaN                      NaN              NaN   \n",
       "2              NaN                      NaN              NaN   \n",
       "3              NaN                      NaN              NaN   \n",
       "4              NaN                      NaN              NaN   \n",
       "..             ...                      ...              ...   \n",
       "70             NaN                      NaN              NaN   \n",
       "71             NaN                      NaN              NaN   \n",
       "72             NaN                      NaN              NaN   \n",
       "73             NaN                      NaN              NaN   \n",
       "74             NaN                      NaN              NaN   \n",
       "\n",
       "    qualifier_10_qualifierId  qualifier_11_id  qualifier_11_qualifierId  \\\n",
       "0                        NaN              NaN                       NaN   \n",
       "1                        NaN              NaN                       NaN   \n",
       "2                        NaN              NaN                       NaN   \n",
       "3                        NaN              NaN                       NaN   \n",
       "4                        NaN              NaN                       NaN   \n",
       "..                       ...              ...                       ...   \n",
       "70                       NaN              NaN                       NaN   \n",
       "71                       NaN              NaN                       NaN   \n",
       "72                       NaN              NaN                       NaN   \n",
       "73                       NaN              NaN                       NaN   \n",
       "74                       NaN              NaN                       NaN   \n",
       "\n",
       "    qualifier_12_id  qualifier_12_qualifierId  keyPass  qualifier_9_value  \\\n",
       "0               NaN                       NaN      NaN                NaN   \n",
       "1               NaN                       NaN      NaN                NaN   \n",
       "2               NaN                       NaN      NaN                NaN   \n",
       "3               NaN                       NaN      NaN                NaN   \n",
       "4               NaN                       NaN      NaN                NaN   \n",
       "..              ...                       ...      ...                ...   \n",
       "70              NaN                       NaN      NaN                NaN   \n",
       "71              NaN                       NaN      NaN                NaN   \n",
       "72              NaN                       NaN      NaN                NaN   \n",
       "73              NaN                       NaN      NaN                NaN   \n",
       "74              NaN                       NaN      NaN                NaN   \n",
       "\n",
       "    qualifier_10_value  qualifier_11_value  qualifier_13_id  \\\n",
       "0                  NaN                 NaN              NaN   \n",
       "1                  NaN                 NaN              NaN   \n",
       "2                  NaN                 NaN              NaN   \n",
       "3                  NaN                 NaN              NaN   \n",
       "4                  NaN                 NaN              NaN   \n",
       "..                 ...                 ...              ...   \n",
       "70                 NaN                 NaN              NaN   \n",
       "71                 NaN                 NaN              NaN   \n",
       "72                 NaN                 NaN              NaN   \n",
       "73                 NaN                 NaN              NaN   \n",
       "74                 NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_13_qualifierId  qualifier_13_value  qualifier_14_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_14_qualifierId  qualifier_14_value  qualifier_15_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_15_qualifierId  qualifier_12_value  qualifier_15_value  \\\n",
       "0                        NaN                 NaN                 NaN   \n",
       "1                        NaN                 NaN                 NaN   \n",
       "2                        NaN                 NaN                 NaN   \n",
       "3                        NaN                 NaN                 NaN   \n",
       "4                        NaN                 NaN                 NaN   \n",
       "..                       ...                 ...                 ...   \n",
       "70                       NaN                 NaN                 NaN   \n",
       "71                       NaN                 NaN                 NaN   \n",
       "72                       NaN                 NaN                 NaN   \n",
       "73                       NaN                 NaN                 NaN   \n",
       "74                       NaN                 NaN                 NaN   \n",
       "\n",
       "    qualifier_16_id  qualifier_16_qualifierId  qualifier_17_id  \\\n",
       "0               NaN                       NaN              NaN   \n",
       "1               NaN                       NaN              NaN   \n",
       "2               NaN                       NaN              NaN   \n",
       "3               NaN                       NaN              NaN   \n",
       "4               NaN                       NaN              NaN   \n",
       "..              ...                       ...              ...   \n",
       "70              NaN                       NaN              NaN   \n",
       "71              NaN                       NaN              NaN   \n",
       "72              NaN                       NaN              NaN   \n",
       "73              NaN                       NaN              NaN   \n",
       "74              NaN                       NaN              NaN   \n",
       "\n",
       "    qualifier_17_qualifierId  qualifier_17_value  qualifier_18_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_18_qualifierId  qualifier_18_value  qualifier_19_id  \\\n",
       "0                        NaN                 NaN              NaN   \n",
       "1                        NaN                 NaN              NaN   \n",
       "2                        NaN                 NaN              NaN   \n",
       "3                        NaN                 NaN              NaN   \n",
       "4                        NaN                 NaN              NaN   \n",
       "..                       ...                 ...              ...   \n",
       "70                       NaN                 NaN              NaN   \n",
       "71                       NaN                 NaN              NaN   \n",
       "72                       NaN                 NaN              NaN   \n",
       "73                       NaN                 NaN              NaN   \n",
       "74                       NaN                 NaN              NaN   \n",
       "\n",
       "    qualifier_19_qualifierId  qualifier_16_value  qualifier_19_value  \\\n",
       "0                        NaN                 NaN                 NaN   \n",
       "1                        NaN                 NaN                 NaN   \n",
       "2                        NaN                 NaN                 NaN   \n",
       "3                        NaN                 NaN                 NaN   \n",
       "4                        NaN                 NaN                 NaN   \n",
       "..                       ...                 ...                 ...   \n",
       "70                       NaN                 NaN                 NaN   \n",
       "71                       NaN                 NaN                 NaN   \n",
       "72                       NaN                 NaN                 NaN   \n",
       "73                       NaN                 NaN                 NaN   \n",
       "74                       NaN                 NaN                 NaN   \n",
       "\n",
       "    qualifier_20_id  qualifier_20_qualifierId  qualifier_20_value  \\\n",
       "0               NaN                       NaN                 NaN   \n",
       "1               NaN                       NaN                 NaN   \n",
       "2               NaN                       NaN                 NaN   \n",
       "3               NaN                       NaN                 NaN   \n",
       "4               NaN                       NaN                 NaN   \n",
       "..              ...                       ...                 ...   \n",
       "70              NaN                       NaN                 NaN   \n",
       "71              NaN                       NaN                 NaN   \n",
       "72              NaN                       NaN                 NaN   \n",
       "73              NaN                       NaN                 NaN   \n",
       "74              NaN                       NaN                 NaN   \n",
       "\n",
       "    qualifier_21_id  qualifier_21_qualifierId  assist  qualifier_21_value  \\\n",
       "0               NaN                       NaN     NaN                 NaN   \n",
       "1               NaN                       NaN     NaN                 NaN   \n",
       "2               NaN                       NaN     NaN                 NaN   \n",
       "3               NaN                       NaN     NaN                 NaN   \n",
       "4               NaN                       NaN     NaN                 NaN   \n",
       "..              ...                       ...     ...                 ...   \n",
       "70              NaN                       NaN     NaN                 NaN   \n",
       "71              NaN                       NaN     NaN                 NaN   \n",
       "72              NaN                       NaN     NaN                 NaN   \n",
       "73              NaN                       NaN     NaN                 NaN   \n",
       "74              NaN                       NaN     NaN                 NaN   \n",
       "\n",
       "    qualifier_22_id  qualifier_22_qualifierId  playerTrackingId  to_sec  \\\n",
       "0               NaN                       NaN          743228.0     0.0   \n",
       "1               NaN                       NaN               NaN     NaN   \n",
       "2               NaN                       NaN               NaN     NaN   \n",
       "3               NaN                       NaN               NaN     NaN   \n",
       "4               NaN                       NaN               NaN     NaN   \n",
       "..              ...                       ...               ...     ...   \n",
       "70              NaN                       NaN               NaN     NaN   \n",
       "71              NaN                       NaN               NaN     NaN   \n",
       "72              NaN                       NaN          871279.0     3.0   \n",
       "73              NaN                       NaN               NaN     NaN   \n",
       "74              NaN                       NaN               NaN     NaN   \n",
       "\n",
       "    sec_remaining  Pass_end_x_x  Pass_end_y_x  dist_to_opponent_goal  \\\n",
       "0          2703.0         36.96        36.312              52.500000   \n",
       "1             NaN           NaN           NaN                    NaN   \n",
       "2             NaN           NaN           NaN                    NaN   \n",
       "3             NaN           NaN           NaN                    NaN   \n",
       "4             NaN           NaN           NaN                    NaN   \n",
       "..            ...           ...           ...                    ...   \n",
       "70            NaN           NaN           NaN                    NaN   \n",
       "71            NaN           NaN           NaN                    NaN   \n",
       "72         2700.0         40.95        47.192              67.979092   \n",
       "73            NaN           NaN           NaN                    NaN   \n",
       "74            NaN           NaN           NaN                    NaN   \n",
       "\n",
       "    angle_to_goal  Goal_difference_home  Goal_difference_away  distance  \\\n",
       "0        0.000000                   0.0                   0.0  1.887905   \n",
       "1             NaN                   NaN                   NaN       NaN   \n",
       "2             NaN                   NaN                   NaN       NaN   \n",
       "3             NaN                   NaN                   NaN       NaN   \n",
       "4             NaN                   NaN                   NaN       NaN   \n",
       "..            ...                   ...                   ...       ...   \n",
       "70            NaN                   NaN                   NaN       NaN   \n",
       "71            NaN                   NaN                   NaN       NaN   \n",
       "72      27.751225                   0.0                   0.0  6.028202   \n",
       "73            NaN                   NaN                   NaN       NaN   \n",
       "74            NaN                   NaN                   NaN       NaN   \n",
       "\n",
       "    Pass_end_x_y  Pass_end_y_y  player_1_x_y  player_1_y_y  player_2_x_y  \\\n",
       "0          36.96        36.312        73.662        37.017        71.057   \n",
       "1           0.00         0.000        73.687        37.030        71.108   \n",
       "2           0.00         0.000        73.712        37.043        71.159   \n",
       "3           0.00         0.000        73.738        37.055        71.208   \n",
       "4           0.00         0.000        73.764        37.068        71.258   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70          0.00         0.000        73.641        37.653        73.714   \n",
       "71          0.00         0.000        73.670        37.698        73.717   \n",
       "72         40.95        47.192        73.700        37.743        73.715   \n",
       "73          0.00         0.000        73.730        37.787        73.707   \n",
       "74          0.00         0.000        73.760        37.832        73.693   \n",
       "\n",
       "    player_2_y_y  player_3_x_y  player_3_y_y  player_4_x_y  player_4_y_y  \\\n",
       "0         58.949        64.404        33.888        64.224        33.844   \n",
       "1         58.932        64.428        33.985        64.125        33.811   \n",
       "2         58.914        64.451        34.082        64.027        33.776   \n",
       "3         58.897        64.473        34.177        63.928        33.741   \n",
       "4         58.880        64.495        34.270        63.830        33.704   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70        58.217        64.572        37.848        57.876        34.869   \n",
       "71        58.272        64.588        37.976        57.822        34.981   \n",
       "72        58.328        64.604        38.105        57.770        35.093   \n",
       "73        58.385        64.617        38.235        57.720        35.206   \n",
       "74        58.443        64.628        38.366        57.671        35.320   \n",
       "\n",
       "    player_5_x_y  player_5_y_y  player_6_x_y  player_6_y_y  player_7_x_y  \\\n",
       "0         57.683        50.663        66.209        47.268        62.236   \n",
       "1         57.690        50.682        66.214        47.303        62.295   \n",
       "2         57.698        50.701        66.219        47.335        62.354   \n",
       "3         57.705        50.721        66.224        47.364        62.413   \n",
       "4         57.713        50.742        66.229        47.391        62.472   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70        62.664        54.464        71.084        50.064        67.863   \n",
       "71        62.692        54.525        71.157        50.084        67.920   \n",
       "72        62.713        54.588        71.225        50.106        67.974   \n",
       "73        62.727        54.654        71.285        50.132        68.024   \n",
       "74        62.736        54.722        71.339        50.160        68.069   \n",
       "\n",
       "    player_7_y_y  player_8_x_y  player_8_y_y  player_9_x_y  player_9_y_y  \\\n",
       "0         13.515        78.175        45.493        53.960        25.734   \n",
       "1         13.516        78.174        45.492        53.882        25.801   \n",
       "2         13.517        78.173        45.491        53.806        25.859   \n",
       "3         13.518        78.173        45.491        53.729        25.908   \n",
       "4         13.519        78.173        45.491        53.654        25.949   \n",
       "..           ...           ...           ...           ...           ...   \n",
       "70        13.129        80.573        46.582        47.434        35.676   \n",
       "71        13.217        80.623        46.635        47.291        35.944   \n",
       "72        13.313        80.671        46.693        47.145        36.211   \n",
       "73        13.416        80.716        46.754        46.995        36.476   \n",
       "74        13.527        80.758        46.819        46.841        36.740   \n",
       "\n",
       "    player_10_x_y  player_10_y_y  player_11_x_y  player_11_y_y  player_12_x_y  \\\n",
       "0          72.800         25.964         40.913         23.519         51.211   \n",
       "1          72.851         25.956         40.913         23.575         51.264   \n",
       "2          72.901         25.948         40.914         23.610         51.317   \n",
       "3          72.950         25.938         40.916         23.625         51.369   \n",
       "4          72.998         25.928         40.919         23.620         51.422   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         74.587         24.854         44.049         17.593         59.689   \n",
       "71         74.608         24.876         44.153         17.627         59.838   \n",
       "72         74.627         24.897         44.258         17.668         59.985   \n",
       "73         74.645         24.920         44.362         17.717         60.130   \n",
       "74         74.661         24.943         44.466         17.774         60.274   \n",
       "\n",
       "    player_12_y_y  player_13_x_y  player_13_y_y  player_14_x_y  player_14_y_y  \\\n",
       "0          23.229         52.636         35.883         46.126         30.051   \n",
       "1          23.294         52.695         35.954         46.146         30.102   \n",
       "2          23.351         52.755         36.026         46.165         30.153   \n",
       "3          23.401         52.816         36.097         46.185         30.202   \n",
       "4          23.444         52.879         36.167         46.204         30.251   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         23.137         60.667         37.894         48.304         32.116   \n",
       "71         23.165         60.779         37.871         48.346         32.153   \n",
       "72         23.195         60.889         37.848         48.387         32.188   \n",
       "73         23.228         60.998         37.824         48.429         32.223   \n",
       "74         23.263         61.106         37.801         48.470         32.258   \n",
       "\n",
       "    player_15_x_y  player_15_y_y  player_16_x_y  player_16_y_y  player_17_x_y  \\\n",
       "0          53.199         53.248         41.628         38.497         43.109   \n",
       "1          53.405         53.319         41.450         38.568         43.177   \n",
       "2          53.611         53.387         41.287         38.634         43.244   \n",
       "3          53.817         53.452         41.141         38.694         43.310   \n",
       "4          54.024         53.513         41.011         38.750         43.375   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         71.114         54.295         41.853         39.899         44.739   \n",
       "71         71.343         54.288         41.892         39.955         44.738   \n",
       "72         71.569         54.281         41.929         40.009         44.739   \n",
       "73         71.790         54.272         41.963         40.062         44.742   \n",
       "74         72.008         54.263         41.994         40.112         44.747   \n",
       "\n",
       "    player_17_y_y  player_18_x_y  player_18_y_y  player_19_x_y  player_19_y_y  \\\n",
       "0          49.299         50.017         65.675         53.052          4.563   \n",
       "1          49.351         50.075         65.756         53.152          4.543   \n",
       "2          49.402         50.134         65.834         53.253          4.521   \n",
       "3          49.455         50.194         65.907         53.354          4.499   \n",
       "4          49.507         50.254         65.976         53.456          4.475   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         52.333         57.058         66.011         61.791          4.248   \n",
       "71         52.367         57.191         66.007         61.910          4.274   \n",
       "72         52.405         57.324         66.000         62.028          4.301   \n",
       "73         52.446         57.457         65.991         62.144          4.329   \n",
       "74         52.490         57.590         65.981         62.260          4.358   \n",
       "\n",
       "    player_20_x_y  player_20_y_y  player_21_x_y  player_21_y_y  player_22_x_y  \\\n",
       "0          52.170         42.621         99.751         35.691          3.522   \n",
       "1          52.198         42.571         99.714         35.704          3.502   \n",
       "2          52.227         42.523         99.677         35.717          3.494   \n",
       "3          52.257         42.477         99.640         35.730          3.497   \n",
       "4          52.289         42.433         99.603         35.744          3.510   \n",
       "..            ...            ...            ...            ...            ...   \n",
       "70         56.975         42.478         95.442         34.854          7.506   \n",
       "71         57.064         42.520         95.393         34.861          7.562   \n",
       "72         57.154         42.565         95.345         34.868          7.619   \n",
       "73         57.245         42.611         95.298         34.875          7.677   \n",
       "74         57.338         42.660         95.252         34.882          7.735   \n",
       "\n",
       "    player_22_y_y closestPlayer  recipientId  time_step  \n",
       "0          35.925            11       356560          0  \n",
       "1          36.013           tbd            0          0  \n",
       "2          36.086           tbd            0          0  \n",
       "3          36.143           tbd            0          0  \n",
       "4          36.186           tbd            0          0  \n",
       "..            ...           ...          ...        ...  \n",
       "70         35.518           tbd            0          0  \n",
       "71         35.527           tbd            0          0  \n",
       "72         35.535             9      1102488          0  \n",
       "73         35.542           tbd            0          0  \n",
       "74         35.549           tbd            0          0  \n",
       "\n",
       "[75 rows x 264 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "a097c493",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_adj = df1[['playerTrackingId', 'recipientId', 'outcome', 'timestamp', 'typeId', 'contestantId']]\n",
    "# unsuccessful --> other type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a5091ea1",
   "metadata": {},
   "outputs": [
    {
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       "      <th>playerTrackingId</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>143048</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1618176913240</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143049</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1618176913280</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>143050 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        playerTrackingId  recipientId  outcome      timestamp  typeId  \\\n",
       "0               743228.0       356560      1.0  1618170300000     1.0   \n",
       "1                    NaN            0      NaN  1618170300040     NaN   \n",
       "2                    NaN            0      NaN  1618170300080     NaN   \n",
       "3                    NaN            0      NaN  1618170300120     NaN   \n",
       "4                    NaN            0      NaN  1618170300160     NaN   \n",
       "...                  ...          ...      ...            ...     ...   \n",
       "143045               NaN            0      NaN  1618176913120     NaN   \n",
       "143046               NaN            0      NaN  1618176913160     NaN   \n",
       "143047               NaN            0      NaN  1618176913200     NaN   \n",
       "143048               NaN            0      NaN  1618176913240     NaN   \n",
       "143049               NaN            0      NaN  1618176913280     NaN   \n",
       "\n",
       "                     contestantId  \n",
       "0       2b57rbw94i9ohnbch52owvqtq  \n",
       "1                             NaN  \n",
       "2                             NaN  \n",
       "3                             NaN  \n",
       "4                             NaN  \n",
       "...                           ...  \n",
       "143045                        NaN  \n",
       "143046                        NaN  \n",
       "143047                        NaN  \n",
       "143048                        NaN  \n",
       "143049                        NaN  \n",
       "\n",
       "[143050 rows x 6 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "775273d6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-38-02cc4cfaa149>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_adj.dropna(subset=['playerTrackingId'], how='all', inplace=True)\n"
     ]
    }
   ],
   "source": [
    "df_adj.dropna(subset=['playerTrackingId'], how='all', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "5f92ca51",
   "metadata": {},
   "outputs": [
    {
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       "      <th>11245</th>\n",
       "      <td>554722.0</td>\n",
       "      <td>356560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1618170749800</td>\n",
       "      <td>1.0</td>\n",
       "      <td>cyrrlv6l1onld5x247w1q1jlr</td>\n",
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       "    <tr>\n",
       "      <th>11335</th>\n",
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      "text/plain": [
       "       playerTrackingId  recipientId  outcome      timestamp  typeId  \\\n",
       "0              743228.0       356560      1.0  1618170300000     1.0   \n",
       "72             871279.0      1102488      1.0  1618170302880     1.0   \n",
       "147            973617.0       789193      1.0  1618170305880     1.0   \n",
       "233           1061321.0       356560      1.0  1618170309320     1.0   \n",
       "288            356560.0       354626      1.0  1618170311520     1.0   \n",
       "...                 ...          ...      ...            ...     ...   \n",
       "11155          536323.0      1102488      0.0  1618170746200     1.0   \n",
       "11211          871279.0      1102488      0.0  1618170748440     1.0   \n",
       "11245          554722.0       356560      0.0  1618170749800     1.0   \n",
       "11335          356560.0       354626      0.0  1618170753400     1.0   \n",
       "11384          354626.0       354626      0.0  1618170755360     1.0   \n",
       "\n",
       "                    contestantId  \n",
       "0      2b57rbw94i9ohnbch52owvqtq  \n",
       "72     2b57rbw94i9ohnbch52owvqtq  \n",
       "147    2b57rbw94i9ohnbch52owvqtq  \n",
       "233    2b57rbw94i9ohnbch52owvqtq  \n",
       "288    2b57rbw94i9ohnbch52owvqtq  \n",
       "...                          ...  \n",
       "11155  cyrrlv6l1onld5x247w1q1jlr  \n",
       "11211  2b57rbw94i9ohnbch52owvqtq  \n",
       "11245  cyrrlv6l1onld5x247w1q1jlr  \n",
       "11335  2b57rbw94i9ohnbch52owvqtq  \n",
       "11384  cyrrlv6l1onld5x247w1q1jlr  \n",
       "\n",
       "[100 rows x 6 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj.head(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3e34d10a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2b57rbw94i9ohnbch52owvqtq    702\n",
       "cyrrlv6l1onld5x247w1q1jlr    510\n",
       "Name: contestantId, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj['contestantId'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "bf6ee390",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in df_adj.index:\n",
    "    if(df_adj.at[row, 'contestantId'] == '2b57rbw94i9ohnbch52owvqtq'):\n",
    "        df_adj.at[row, 'contestantId'] = 'teamA'        \n",
    "    else:\n",
    "        df_adj.at[row, 'contestantId'] = 'teamB'   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "d5d9d056",
   "metadata": {},
   "outputs": [
    {
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       "      <td>1.0</td>\n",
       "      <td>1618170309320</td>\n",
       "      <td>1.0</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>356560.0</td>\n",
       "      <td>354626</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170311520</td>\n",
       "      <td>1.0</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>743228.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170316960</td>\n",
       "      <td>61.0</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>465460.0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170346360</td>\n",
       "      <td>1.0</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>1108110.0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1618170349360</td>\n",
       "      <td>1.0</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>752504.0</td>\n",
       "      <td>536323</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1618170350800</td>\n",
       "      <td>1.0</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>554722.0</td>\n",
       "      <td>356560</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170352320</td>\n",
       "      <td>1.0</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      playerTrackingId  recipientId  outcome      timestamp  typeId  \\\n",
       "0             743228.0       356560      1.0  1618170300000     1.0   \n",
       "72            871279.0      1102488      1.0  1618170302880     1.0   \n",
       "147           973617.0       789193      1.0  1618170305880     1.0   \n",
       "233          1061321.0       356560      1.0  1618170309320     1.0   \n",
       "288           356560.0       354626      1.0  1618170311520     1.0   \n",
       "424           743228.0            0      1.0  1618170316960    61.0   \n",
       "1159          465460.0      1108110      1.0  1618170346360     1.0   \n",
       "1234         1108110.0      1102488      0.0  1618170349360     1.0   \n",
       "1270          752504.0       536323      0.0  1618170350800     1.0   \n",
       "1308          554722.0       356560      1.0  1618170352320     1.0   \n",
       "\n",
       "     contestantId  \n",
       "0           teamA  \n",
       "72          teamA  \n",
       "147         teamA  \n",
       "233         teamA  \n",
       "288         teamA  \n",
       "424         teamA  \n",
       "1159        teamB  \n",
       "1234        teamB  \n",
       "1270        teamA  \n",
       "1308        teamB  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "63cb4f11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_adj = df_adj.astype({\"typeId\": 'str'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "7b77a8be",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_adj['typeId'] = df_adj['typeId'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a8e5a69d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_adj['typeId'] = df_adj['typeId'].astype('|S')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "7cc0bcf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_adj['typeId'] = df_adj['typeId'].apply(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7c3d26d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-47-3dc98cc52ccb>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_adj['typeId'] = df_adj['typeId'].values.astype(str)\n"
     ]
    }
   ],
   "source": [
    "df_adj['typeId'] = df_adj['typeId'].values.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c5bc32e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "playerTrackingId    float64\n",
       "recipientId           int64\n",
       "outcome             float64\n",
       "timestamp             int64\n",
       "typeId               object\n",
       "contestantId         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "336e0ed2",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in df_adj.index:\n",
    "    if((df_adj.at[row, 'typeId'] == '1.0') | (df_adj.at[row, 'typeId'] == '2.0')):\n",
    "        df_adj.at[row, 'typeId'] = 'pass'        \n",
    "    elif((df_adj.at[row, 'typeId'] == '13.0') | (df_adj.at[row, 'typeId'] == '14.0') | (df_adj.at[row, 'typeId'] == '16.0')):\n",
    "        df_adj.at[row, 'typeId'] = 'shot'            \n",
    "    elif(df_adj.at[row, 'typeId'] == '3.0'):\n",
    "        df_adj.at[row, 'typeId'] = 'dribble'            \n",
    "    elif(df_adj.at[row, 'typeId'] == '8.0'):\n",
    "        df_adj.at[row, 'typeId'] = 'interception'            \n",
    "    elif((df_adj.at[row, 'typeId'] == '7.0') | (df_adj.at[row, 'typeId'] == '74.0')):\n",
    "        df_adj.at[row, 'typeId'] = 'tackle'           \n",
    "    elif((df_adj.at[row, 'typeId'] == '10.0') | (df_adj.at[row, 'typeId'] == '11.0') | (df_adj.at[row, 'typeId'] == '15.0')):\n",
    "        df_adj.at[row, 'typeId'] = 'save'       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "9081de14",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pass            921\n",
       "61.0             82\n",
       "12.0             53\n",
       "tackle           38\n",
       "dribble          25\n",
       "save             24\n",
       "shot             19\n",
       "52.0             19\n",
       "interception     17\n",
       "50.0             12\n",
       "41.0              2\n",
       "Name: typeId, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj['typeId'].value_counts()\n",
    "\n",
    "# 61: Ball touch (A player unsuccessfully controls the ball and loses possession. Outcome = 1 : the ball just unintentionally \n",
    "      #hit the player, who made no attempt to control it. Outcome = 0: the player attempted to control the ball and failed.)\n",
    "# 12: Clearence (Player deliberately attempts to clear away/put the ball out of play without intentionally targeting the ball \n",
    "      #towards a team mate.)\n",
    "# 52: Keeper pick-up (Goalkeeper only event; goalkeeper picks up the ball.)\n",
    "# 50: DispossessedPlayer (Player is successfully tackled and loses possession of the ball.)\n",
    "# 41: Punch (Goalkeeper only event; goalkeeper punches the ball. Outcome = 0 - the punch lands at an opposition player\n",
    "      # Outcome = 1 - the punch either lands at the goalkeeper's own team or goes out of play)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "a6caf785",
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in df_adj.index:\n",
    "    if(df_adj.at[row, 'typeId'] == 'pass'):\n",
    "        if(df_adj.at[row, 'outcome'] == 0.0):\n",
    "            df_adj.at[row, 'recipientId'] = 0.0 # to mark that it is unknown/unintended"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3c152000",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fanni\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:4308: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    }
   ],
   "source": [
    "for row in df_adj.index:\n",
    "    if((df_adj.at[row, 'typeId'] == '61.0') | (df_adj.at[row, 'typeId'] == '12.0') | (df_adj.at[row, 'typeId'] == '52.0') | (df_adj.at[row, 'typeId'] == '50.0') | (df_adj.at[row, 'typeId'] == '41.0')):\n",
    "        df_adj.drop(row, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "3f3eb549",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        playerTrackingId  recipientId  outcome      timestamp  typeId  \\\n",
      "1517            789193.0            0      1.0  1618170360680  tackle   \n",
      "3995            466925.0            0      0.0  1618170459800  tackle   \n",
      "4155            593009.0            0      1.0  1618170466200  tackle   \n",
      "4340            606682.0            0      1.0  1618170473600  tackle   \n",
      "4995            743228.0            0      1.0  1618170499800  tackle   \n",
      "5064            606682.0            0      1.0  1618170502560  tackle   \n",
      "12010          1061319.0            0      1.0  1618170780400  tackle   \n",
      "12344           733561.0            0      1.0  1618170793760  tackle   \n",
      "20242           536323.0            0      1.0  1618171109560  tackle   \n",
      "20393           356560.0            0      1.0  1618171115600  tackle   \n",
      "26236           743228.0            0      1.0  1618171349320  tackle   \n",
      "27986          1061319.0            0      0.0  1618171419200  tackle   \n",
      "33367           606682.0            0      1.0  1618171634440  tackle   \n",
      "34122           973617.0            0      1.0  1618171664640  tackle   \n",
      "36664          1107910.0            0      1.0  1618171766320  tackle   \n",
      "37878           593009.0            0      1.0  1618171814880  tackle   \n",
      "44617           606682.0            0      1.0  1618172084320  tackle   \n",
      "48016          1108110.0            0      1.0  1618172220280  tackle   \n",
      "48146           356560.0            0      1.0  1618172225480  tackle   \n",
      "50142           536323.0            0      1.0  1618172305320  tackle   \n",
      "54867           606682.0            0      1.0  1618172494320  tackle   \n",
      "57197           536323.0            0      1.0  1618172587520  tackle   \n",
      "65537           536323.0            0      1.0  1618172921120  tackle   \n",
      "65899           536323.0            0      1.0  1618172935600  tackle   \n",
      "69413           593009.0            0      0.0  1618173967840  tackle   \n",
      "72464           606682.0            0      1.0  1618174089880  tackle   \n",
      "76780          1061321.0            0      1.0  1618174262520  tackle   \n",
      "90872          1061321.0            0      1.0  1618174826200  tackle   \n",
      "100637         1108110.0            0      1.0  1618175216800  tackle   \n",
      "116348          606682.0            0      0.0  1618175845240  tackle   \n",
      "118027          606682.0            0      0.0  1618175912400  tackle   \n",
      "118097         1103003.0            0      1.0  1618175915200  tackle   \n",
      "123468          356560.0            0      1.0  1618176130040  tackle   \n",
      "123710          536323.0            0      1.0  1618176139720  tackle   \n",
      "128567          794887.0            0      1.0  1618176334000  tackle   \n",
      "129112         1103003.0            0      1.0  1618176355800  tackle   \n",
      "135821          554722.0            0      0.0  1618176624160  tackle   \n",
      "136299          752504.0            0      0.0  1618176643280  tackle   \n",
      "\n",
      "       contestantId  \n",
      "1517          teamB  \n",
      "3995          teamB  \n",
      "4155          teamB  \n",
      "4340          teamB  \n",
      "4995          teamA  \n",
      "5064          teamB  \n",
      "12010         teamA  \n",
      "12344         teamA  \n",
      "20242         teamB  \n",
      "20393         teamA  \n",
      "26236         teamA  \n",
      "27986         teamA  \n",
      "33367         teamB  \n",
      "34122         teamA  \n",
      "36664         teamA  \n",
      "37878         teamB  \n",
      "44617         teamB  \n",
      "48016         teamB  \n",
      "48146         teamA  \n",
      "50142         teamB  \n",
      "54867         teamB  \n",
      "57197         teamB  \n",
      "65537         teamB  \n",
      "65899         teamB  \n",
      "69413         teamB  \n",
      "72464         teamB  \n",
      "76780         teamA  \n",
      "90872         teamA  \n",
      "100637        teamB  \n",
      "116348        teamB  \n",
      "118027        teamB  \n",
      "118097        teamA  \n",
      "123468        teamA  \n",
      "123710        teamB  \n",
      "128567        teamA  \n",
      "129112        teamA  \n",
      "135821        teamB  \n",
      "136299        teamA  \n"
     ]
    }
   ],
   "source": [
    "print(df_adj.loc[df_adj['typeId'] == 'tackle'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "0fbb4f4c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        playerTrackingId  recipientId  outcome      timestamp   typeId  \\\n",
      "3993           1061319.0            0      0.0  1618170459720  dribble   \n",
      "4988            593009.0            0      0.0  1618170499520  dribble   \n",
      "27507          1061321.0            0      1.0  1618171400160  dribble   \n",
      "27984           593009.0            0      0.0  1618171419120  dribble   \n",
      "36569          1108110.0            0      1.0  1618171762520  dribble   \n",
      "36660          1108110.0            0      0.0  1618171766160  dribble   \n",
      "36747           743228.0            0      1.0  1618171769640  dribble   \n",
      "38061          1107910.0            0      0.0  1618171822200  dribble   \n",
      "45802           606682.0            0      1.0  1618172131720  dribble   \n",
      "51961           973617.0            0      0.0  1618172378080  dribble   \n",
      "61009           794887.0            0      1.0  1618172740000  dribble   \n",
      "71045          1108110.0            0      1.0  1618174033120  dribble   \n",
      "84184           593009.0            0      1.0  1618174558680  dribble   \n",
      "93385           973617.0            0      1.0  1618174926720  dribble   \n",
      "116343         1103866.0            0      0.0  1618175845040  dribble   \n",
      "118094          554722.0            0      0.0  1618175915080  dribble   \n",
      "119359         1061321.0            0      1.0  1618175965680  dribble   \n",
      "123462         1102488.0            0      0.0  1618176129800  dribble   \n",
      "129386         1102488.0            0      1.0  1618176366760  dribble   \n",
      "129538          727254.0            0      1.0  1618176372840  dribble   \n",
      "129795          871798.0            0      1.0  1618176383120  dribble   \n",
      "129839          871798.0            0      1.0  1618176384880  dribble   \n",
      "136284          466925.0            0      0.0  1618176642680  dribble   \n",
      "141688          554722.0            0      1.0  1618176858840  dribble   \n",
      "142128          743228.0            0      1.0  1618176876440  dribble   \n",
      "\n",
      "       contestantId  \n",
      "3993          teamA  \n",
      "4988          teamB  \n",
      "27507         teamA  \n",
      "27984         teamB  \n",
      "36569         teamB  \n",
      "36660         teamB  \n",
      "36747         teamA  \n",
      "38061         teamA  \n",
      "45802         teamB  \n",
      "51961         teamA  \n",
      "61009         teamA  \n",
      "71045         teamB  \n",
      "84184         teamB  \n",
      "93385         teamA  \n",
      "116343        teamA  \n",
      "118094        teamB  \n",
      "119359        teamA  \n",
      "123462        teamB  \n",
      "129386        teamB  \n",
      "129538        teamB  \n",
      "129795        teamA  \n",
      "129839        teamA  \n",
      "136284        teamB  \n",
      "141688        teamB  \n",
      "142128        teamA  \n"
     ]
    }
   ],
   "source": [
    "print(df_adj.loc[df_adj['typeId'] == 'dribble'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "aa973932",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        playerTrackingId  recipientId  outcome      timestamp typeId  \\\n",
      "13412           465460.0            0      1.0  1618170836480   save   \n",
      "17130          1061319.0            0      1.0  1618170985200   save   \n",
      "17139           789193.0            0      1.0  1618170985560   save   \n",
      "36784           743228.0            0      1.0  1618171771120   save   \n",
      "36813           465460.0            0      0.0  1618171772280   save   \n",
      "39447           465460.0            0      1.0  1618171877640   save   \n",
      "45083           794887.0            0      1.0  1618172102960   save   \n",
      "45097           465460.0            0      0.0  1618172103520   save   \n",
      "45830           606682.0            0      1.0  1618172132840   save   \n",
      "45842           606868.0            0      0.0  1618172133320   save   \n",
      "61200          1061319.0            0      1.0  1618172747640   save   \n",
      "61202           968671.0            0      1.0  1618172747720   save   \n",
      "89958           794887.0            0      1.0  1618174789640   save   \n",
      "89972           465460.0            0      0.0  1618174790200   save   \n",
      "99593          1108110.0            0      1.0  1618175175040   save   \n",
      "99607           606868.0            0      0.0  1618175175600   save   \n",
      "104828          743228.0            0      1.0  1618175384440   save   \n",
      "104839          466925.0            0      1.0  1618175384880   save   \n",
      "111228          743228.0            0      1.0  1618175640440   save   \n",
      "111235          968671.0            0      1.0  1618175640720   save   \n",
      "142674          871798.0            0      1.0  1618176898280   save   \n",
      "142687          465460.0            0      0.0  1618176898800   save   \n",
      "142720          743228.0            0      1.0  1618176900120   save   \n",
      "142727          465460.0            0      0.0  1618176900400   save   \n",
      "\n",
      "       contestantId  \n",
      "13412         teamB  \n",
      "17130         teamA  \n",
      "17139         teamB  \n",
      "36784         teamA  \n",
      "36813         teamB  \n",
      "39447         teamB  \n",
      "45083         teamA  \n",
      "45097         teamB  \n",
      "45830         teamB  \n",
      "45842         teamA  \n",
      "61200         teamA  \n",
      "61202         teamB  \n",
      "89958         teamA  \n",
      "89972         teamB  \n",
      "99593         teamB  \n",
      "99607         teamA  \n",
      "104828        teamA  \n",
      "104839        teamB  \n",
      "111228        teamA  \n",
      "111235        teamB  \n",
      "142674        teamA  \n",
      "142687        teamB  \n",
      "142720        teamA  \n",
      "142727        teamB  \n"
     ]
    }
   ],
   "source": [
    "print(df_adj.loc[df_adj['typeId'] == 'save'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ac93ab6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        playerTrackingId  recipientId  outcome      timestamp typeId  \\\n",
      "3078            743228.0            0      1.0  1618170423120   shot   \n",
      "8299            743228.0            0      1.0  1618170631960   shot   \n",
      "18162           794887.0            0      1.0  1618171026480   shot   \n",
      "23427           743228.0            0      1.0  1618171236960   shot   \n",
      "28417           789193.0            0      1.0  1618171436440   shot   \n",
      "34336           593009.0            0      1.0  1618171673200   shot   \n",
      "46002          1102488.0            0      1.0  1618172139720   shot   \n",
      "50581          1107910.0            0      1.0  1618172322880   shot   \n",
      "59842           356560.0            0      1.0  1618172693320   shot   \n",
      "88685          1102488.0            0      1.0  1618174738720   shot   \n",
      "94292           789193.0            0      1.0  1618174963000   shot   \n",
      "104874         1061319.0            0      1.0  1618175386280   shot   \n",
      "108308          794887.0            0      1.0  1618175523640   shot   \n",
      "111602         1061319.0            0      1.0  1618175655400   shot   \n",
      "115492          589629.0            0      1.0  1618175811000   shot   \n",
      "121050          794887.0            0      1.0  1618176033320   shot   \n",
      "125931         1061321.0            0      1.0  1618176228560   shot   \n",
      "133365          871798.0            0      1.0  1618176525920   shot   \n",
      "140309          789193.0            0      1.0  1618176803680   shot   \n",
      "\n",
      "       contestantId  \n",
      "3078          teamA  \n",
      "8299          teamA  \n",
      "18162         teamA  \n",
      "23427         teamA  \n",
      "28417         teamB  \n",
      "34336         teamB  \n",
      "46002         teamB  \n",
      "50581         teamA  \n",
      "59842         teamA  \n",
      "88685         teamB  \n",
      "94292         teamB  \n",
      "104874        teamA  \n",
      "108308        teamA  \n",
      "111602        teamA  \n",
      "115492        teamB  \n",
      "121050        teamA  \n",
      "125931        teamA  \n",
      "133365        teamA  \n",
      "140309        teamB  \n"
     ]
    }
   ],
   "source": [
    "print(df_adj.loc[df_adj['typeId'] == 'shot'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "36e7843d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        playerTrackingId  recipientId  outcome      timestamp        typeId  \\\n",
      "5529            466925.0            0      1.0  1618170521160  interception   \n",
      "20311           356560.0            0      1.0  1618171112320  interception   \n",
      "22345           536323.0            0      1.0  1618171193680  interception   \n",
      "26636           536323.0            0      1.0  1618171365320  interception   \n",
      "26759           973617.0            0      1.0  1618171370240  interception   \n",
      "33518           973617.0            0      1.0  1618171640480  interception   \n",
      "41288           354626.0            0      1.0  1618171951160  interception   \n",
      "52712          1061321.0            0      1.0  1618172408120  interception   \n",
      "68145           356560.0            0      1.0  1618173917120  interception   \n",
      "70960           536323.0            0      1.0  1618174029720  interception   \n",
      "80647           354626.0            0      1.0  1618174417200  interception   \n",
      "82410           789193.0            0      1.0  1618174487720  interception   \n",
      "85707           536323.0            0      1.0  1618174619600  interception   \n",
      "89613           789193.0            0      1.0  1618174775840  interception   \n",
      "90454           466925.0            0      1.0  1618174809480  interception   \n",
      "100391          536323.0            0      1.0  1618175206960  interception   \n",
      "116185          589629.0            0      1.0  1618175838720  interception   \n",
      "\n",
      "       contestantId  \n",
      "5529          teamB  \n",
      "20311         teamA  \n",
      "22345         teamB  \n",
      "26636         teamB  \n",
      "26759         teamA  \n",
      "33518         teamA  \n",
      "41288         teamB  \n",
      "52712         teamA  \n",
      "68145         teamA  \n",
      "70960         teamB  \n",
      "80647         teamB  \n",
      "82410         teamB  \n",
      "85707         teamB  \n",
      "89613         teamB  \n",
      "90454         teamB  \n",
      "100391        teamB  \n",
      "116185        teamB  \n"
     ]
    }
   ],
   "source": [
    "print(df_adj.loc[df_adj['typeId'] == 'interception'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "4bd4facf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>playerTrackingId</th>\n",
       "      <th>recipientId</th>\n",
       "      <th>outcome</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>typeId</th>\n",
       "      <th>contestantId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>743228.0</td>\n",
       "      <td>356560</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170300000</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>871279.0</td>\n",
       "      <td>1102488</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170302880</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>973617.0</td>\n",
       "      <td>789193</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170305880</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>1061321.0</td>\n",
       "      <td>356560</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170309320</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>356560.0</td>\n",
       "      <td>354626</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170311520</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>465460.0</td>\n",
       "      <td>1108110</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170346360</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>1108110.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1618170349360</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>752504.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1618170350800</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1308</th>\n",
       "      <td>554722.0</td>\n",
       "      <td>356560</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1618170352320</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1342</th>\n",
       "      <td>789193.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1618170353680</td>\n",
       "      <td>pass</td>\n",
       "      <td>teamB</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      playerTrackingId  recipientId  outcome      timestamp typeId  \\\n",
       "0             743228.0       356560      1.0  1618170300000   pass   \n",
       "72            871279.0      1102488      1.0  1618170302880   pass   \n",
       "147           973617.0       789193      1.0  1618170305880   pass   \n",
       "233          1061321.0       356560      1.0  1618170309320   pass   \n",
       "288           356560.0       354626      1.0  1618170311520   pass   \n",
       "1159          465460.0      1108110      1.0  1618170346360   pass   \n",
       "1234         1108110.0            0      0.0  1618170349360   pass   \n",
       "1270          752504.0            0      0.0  1618170350800   pass   \n",
       "1308          554722.0       356560      1.0  1618170352320   pass   \n",
       "1342          789193.0            0      0.0  1618170353680   pass   \n",
       "\n",
       "     contestantId  \n",
       "0           teamA  \n",
       "72          teamA  \n",
       "147         teamA  \n",
       "233         teamA  \n",
       "288         teamA  \n",
       "1159        teamB  \n",
       "1234        teamB  \n",
       "1270        teamA  \n",
       "1308        teamB  \n",
       "1342        teamB  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_adj.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "47614957",
   "metadata": {},
   "outputs": [],
   "source": [
    "# for loop for displaying rows with the interception data --> DONE (shots&interceptions always have a successful outcome)\n",
    "# deleting undefined --> DONE\n",
    "# home or away team --> DONE\n",
    "# adding an ID for both goallines (shot receiver)\n",
    "# delete unsuccessful pass's receiver --> DONE"
   ]
  }
 ],
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