computer vision and sports
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Updated
Aug 19, 2024 - Python
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.
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
⛏⚽ Scrape soccer data from Club Elo, ESPN, FBref, FiveThirtyEight, Football-Data.co.uk, FotMob, Sofascore, SoFIFA, Understat and WhoScored.
⚽️ Extract, prepare and publish Transfermarkt datasets.
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!
An analysis and visualization R package that works with publicly available soccer data
Collection of references, datasets and software libraries for soccer analytics.
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.
A couple of functions to create customized passing networks with event data by Statsbomb and tracking data by Metrica Sport
EA FC 25 Automated SBC Solving using Integer Programming ⚽
Football Data Processing & Visualization
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.
Models for estimating football (soccer) team-strength
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