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.
NBA sports betting using machine learning
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
A Set of Functions to Efficiently Scrape NFL Play by Play Data
Collection of sports betting AI tools.
Python library to parse, analyze and visualize Counter-Strike 2 data
Analysis and datasets about football (soccer)
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
A python package for turning sports video into csv files
🏀 An application to build an NBA database backed by MariaDB/MySQL, Postgres compatible databases, or SQLite.
Home for all your GPS Tracks: Visualize, share and manage your GPS tracks.
A curated list of football analytics awesome resources, articles, books and more!
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Betting on the NBA with data
Python wrapper for the CFBD API
[IJCV 2021] SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
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