A Machine Learning project aimed at predicting the potential winner of the upcoming ICC Cricket World Cup in 2023. By leveraging historical cricket data, team performance statistics, player profiles, and various other relevant factors, this project seeks to provide insights into which team might emerge victorious in the tournament.
This project involves leveraging data analytics and machine learning techniques to predict the potential winner of the ICC ODI World Cup 2023. The analysis encompasses:
- Data Exploration: Historical World Cup and regular ODI match data were analyzed to extract crucial insights on team and player performances.
- Player Analysis: Strength evaluation of players, including the impact of injuries, was conducted to assess their contribution to team strategies.
- Ground Strategy Analysis: Match strategies based on different ground conditions were considered to enhance prediction accuracy.
- One-on-One Match Predictions: Built models to predict the outcomes of individual matches in the current tournament.
- Top Four Teams Selection: Identified the top-performing teams based on one-on-one results.
- Knockout Stage Predictions: Used specialized data and models to predict outcomes for knockout matches, as these games differ significantly from regular tournament matches.
This comprehensive approach ensures accurate predictions for match winners and finalists in the highly competitive World Cup environment.
Analytics Challenge by IIM Vizag
Result: Winners