#Sports-analytics
Showing 29 of 29 repositories tagged #sports-analytics, ranked by stars
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
Collection of sports betting AI tools.
Cool experiments at the intersection of Computer Vision and Sports ⚽🏃
Sports sponsorship intelligence platform for World Cup match data, real-source text signals, ROI prediction, uncertainty analysis, and scenario recommendations.
Analysis and datasets about football (soccer)
A python package for turning sports video into csv files
⚽ High-performance football analytics: build data pipelines, scrape data, model matches, rank teams, and bet smarter | Powered by www.pena.lt/y 🚀
Graphs and passing networks in football.
R package for drawing regulation playing surfaces for several sports
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.
Every cyclist and stage of the Tour de France (up to including 2025) in four CSV files.
sportsdataverse python package
Football Data Processing & Visualization
TeamTrack: An Algorithm and Benchmark Dataset for Multi-Sport Multi-Object Tracking in Full-pitch Videos
Tennis AI to predict the winner in ATP matches with 3 different models and a web UI
Fast Volleyball Tracking Inference: Real-time volleyball ball detection and tracking at 100 FPS on CPU (Intel i5-10400F). Powered by an optimized ONNX model, outputs ball coordinates to CSV, with optional video visualization. Ideal for sports analytics and computer vision research.
The Tennis Serve Analysis App is a mobile application designed to revolutionize the way tennis players analyze and improve their serves. Leveraging machine learning algorithms and computer vision techniques, the app provides users with personalized feedback of their serves.
Python package for drawing regulation playing surfaces for several sports
Exploring football and other sports through data. Includes analyses of match events, player performance, xG models, tactical visualizations, and predictive insights.
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
Machine learning project that can predict the scores of MLB games.
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
RunPandas - Python Package for handing running data from GPS-enabled devices to worldwide race results.
Python AFL (Australian Football League) library for collecting/analysing AFL data from AFLtables.com
MLB Data Explorer
Extract, analyze and visualize data for football teams and player performances.
Analytics for Polymarket sports prediction markets. Tracks P&L, generates leaderboards, and identifies top forecasters across NFL, NBA, CFB, and CBB.