#Football-analytics
Showing 13 of 13 repositories tagged #football-analytics, ranked by stars
📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
An analysis and visualization R package that works with publicly available soccer data
Complete football/soccer datalake with 93000+ players from Transfermarkt. Includes player profiles, performance statistics, market values, transfer histories, injury records, national team data, and teammate relationships.
Football Data Processing & Visualization
An example of how to create a xG model using R and Wyscout event data
This is a computer vision project that utilizes object detection algorithms to analyze football matches videos by finding the position of players, ball and referees on the football pitch and finding out to which team each player belongs.
AIFootballPredictions is an ML-based system to predict if a football match will have over 2.5 goals. Using historical data from top European leagues (Serie A, EPL, Bundesliga, La Liga, Ligue 1), it employs advanced feature engineering and model training techniques to provide accurate predictions. Perfect for sports analytics enthusiasts.
A repository for football analytics
A Premier League football dashboard.
A machine learning system that predicts fpl points of players
Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)
Exploring football and other sports through data. Includes analyses of match events, player performance, xG models, tactical visualizations, and predictive insights.
This project serves as a comprehensive guide to performing football analysis using Python. You can view Live Demo :