AI Agent Skills

NBA sports betting app using machine learning

NBA sports betting using machine learning

Predict game results with ML models trained on historical data; trade on Polymarket Sports(NHL, NBA, Tennis etc). Data → train → predict → trade.

A free sports API written for python

A website that utilizes a deep learning neural network to detect who will win NBA games

computer vision and sports

The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meanin…

NBA data via ESPN public endpoints, the NBA live CDN, and NBA Stats (stats.nba.com) — scores, standings, rosters, schedules, game summaries, play-by-play, injuries, futu…

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

R package for drawing regulation playing surfaces for several sports

Sports news via RSS/Atom feeds and Google News. Fetch headlines, search by query, filter by date. Covers football news, transfer rumors, match reports, and any sport via…

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

Free football data from StatsBomb

Esports data — Dota 2 (OpenDota) and League of Legends esports (Leaguepedia). Pro matches, tournaments, teams, and structured LoL competitive data. Use when: user asks a…

⚽ Command line interface for Hackers who love football

Python API wrapper for the Yahoo Fantasy Sports public API (supports NFL, NHL, MLB, and NBA).