computer vision and sports
⛏⚽ 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
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
[CVPRW'24] SoccerNet Game State Reconstruction: End-to-End Athlete Tracking and Identification on a Minimap (CVPR24 - CVSports workshop)
API service to get data from Transfermarkt
Home Assistant integration that provides real-time scores in multiple professional (NBA, NFL, NHL, MLB, MLS, and more), college (NCAA), and international (soccer, golf, tennis, mma, racing) sports using ESPN APIs.
Demo on how to compute soccer ball possession automatically using AI.
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.
An asynchronous Python package for https://understat.com/.
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
SoccerNet@CVPR | 1st place solution for Ball Action Spotting Challenge 2023
FootAndBall: Integrated player and ball detector
Predicting soccer matches outcomes with machine learning as time series.
Predict game results with ML models trained on historical data; trade on Polymarket Sports(NHL, NBA, Tennis etc). Data → train → predict → trade.
A sports data scraping and analysis tool
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