Basketball plotting library for use with matplotlib
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Updated
Jan 13, 2026 - Python
Basketball plotting library for use with matplotlib
The system detects players and the ball with YOLO, assigns teams via zero-shot jersey classification, tracks ball possession, maps court keypoints, transforms the view to top-down, and calculates player speed and distance.
Player advanced stats and Elo ratings for WNBA history
Python API for stats.nba.com
(Basketball Performance Tracker) 네이버 커넥트재단 AI Tech 5기 최종 프로젝트로 진행한 영상 기반 농구 점수 자동 기록 AI 서비스입니다.
web scrapes performed for Kaggle datasets.
A set of analytical notebooks on Novo Basquete Brasil (NBB), Brazil's main basketball league
Basketball match winner prediction artificial intelligence
🏀 Track your basketball shot goals, improve your shooting streak, and compete on the leaderboard with Shotstreak!
Basketball analytics for the Lebanese Basketball Federation Division A: scrapes, cleans, and analyzes RealGM data to rank teams and players and profile playing styles.
Exploratory Data Analysis (EDA) of Duncan Robinson's playing career as part of the University of Michigan Wolverine Men's Basketball team.
dotnet webapi for nba stats
Database for the BYTHERIM Fictional Recruiting Database with player rankings, class rankings, and a comprehensive statistics page.
Live NBA analytics dashboard — efficiency ratings, player comparison, an efficiency-landscape explorer, and a similarity engine, built with Next.js, TypeScript, Tailwind & Radix.
This repository contains a few of the assignments and projects I completed as part of my Sports Analytics course. The final project is titled "Random Forest Model Predicting NFL Comeback at Halftime", which accompanies the Powerpoint containing my interpretation of the model's performance and its usability.
A simple JS score counter app. You can use it while a match as it is OPENSOURCED
NBAindex — bilingual NBA players, teams, coaches, playoffs and awards archive.
Data Analysis and Visualizations on the Basketball Dataset using R Programming
Per-game NBA player ethics metric (EHI) that quantifies "ethical hoops" using shot quality, foul drawing patterns, FT dependency, sportsmanship, and defensive effort. Built with Python and nba_api.
Aplicación para recomendar pares de jugadores NBA complementarios para la temporada 2020-2021, utilizando datos de 2015 a 2020.
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