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Beyond the Touchline

Welcome to the Beyond the Touchline repository! This repository contains all the code used for football analytics published on my Substack (beyondthetouchline.substack.com). It demonstrates my skills in data analysis, visualisation, and machine learning models using football data.

Overview

This repository showcases:

  • Scraping and cleaning football data from sources like Wyscout, FBref and StatsBomb.
  • Exploratory data analysis (EDA) of player and team performances.
  • Creating visualisations such as xG flow charts, pass maps, and radar charts.
  • Machine learning models for player and team performance forecasting.

Features

  • Data Collection: Scripts to scrape data and convert it into usable formats.
  • Data Analysis: Python scripts for statistical analysis of football performance data.
  • Visualisations: Examples of visual content, such as heatmaps, pass networks, and radar charts.
  • Substack Articles: Links to articles where this code has been used.

Getting Started

Dependencies

Make sure you have the following installed:

  • Python 3.8 or higher
  • Required Python libraries listed in requirements.txt

Installation

  1. Clone the repository: 
    git clone https://github.com/chlosains/BeyondTheTouchline.git
  2. Navigate to the project directory: 
    cd BeyondTheTouchline
  3. Install the required dependencies: 
    pip install -r requirements.txt

Usage

To run the analysis scripts:

  1. Choose the script you want to run (e.g., lauren_james_carries.py or corner_logistic_regression_model.py).
  2. Make sure you have access to the necessary football data.
  3. Run the script using Python: 
    python lauren_james_carries.py

Dataset

The dataset used in the corner_logistic_regression_model project can be downloaded from Figshare:

Instructions:

  1. Download the following JSON files from the link above:

    • matches_England.json
    • players.json
    • events_England.json
    • matches_Spain.json
    • matches_France.json
    • matches_Germany.json
    • matches_Italy.json
    • events_Spain.json
    • events_France.json
    • events_Germany.json
    • events_Italy.json

  2. Save these files in your Documents folder or update the paths in the script to point to the location where you store the files.

  3. Run the script once the files are downloaded.