computer vision and sports

📊⚽ 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.

⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, Football-Data.co.uk, Sofascore, SoFIFA, Understat and WhoScored.

Convert soccer event stream data to SPADL and value player actions using VAEP or xT

⚽️ Extract, prepare and publish Transfermarkt datasets.

The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.

A Python package for training and analyzing expected goals (xG) models in soccer.

A curated list of football analytics awesome resources, articles, books and more!

Python project trying to facilitate and being a starting point for soccer analytics projects.

Collection of references, datasets and software libraries for soccer analytics.

An analysis and visualization R package that works with publicly available soccer data

fetch understat data

Football Data Processing & Visualization

An example of how to create a xG model using R and Wyscout event data

Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.

Tools to help developers and data scientists in sports

EA FC 26 Automated SBC Solving using Integer Programming ⚽

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.

Measuring soccer player's creativity

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.

A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport

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.

Synchronize soccer event and tracking data

Football/Soccer Pass Receiver Prediction using Object Detection/Graph Neural Networks (GNNs)

Models for estimating football (soccer) team-strength

Flatiron School Capstone project. Trying to find out how well players' on-field performance metrics can be used to predict their transfer values.

Soccer pitch segmentation and camera calibration in two steps. Step 1, pixelwise segmentation of an broacast image of a soccer game into six different clases defined by the line markings. Step 2, a differential-rendering optimizer that tries to estimate camera parameters from such segementations.Trained on SoccerNet.

It's a crawler for statistics of corners and goals for the future games and a bot for Telegram to send the statistics.

QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.

A Python package for fetching live football/soccer stats from multiple online sources (Sofascore, FBref, Promiedos and others).