basketball-analytics
Here are 41 public repositories matching this topic...
Kinetic Adaptation via Wasserstein Heuristics and Identity
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Mar 15, 2026 - Python
Competition-winning Rebound Prediction Notebook
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Sep 6, 2023 - Jupyter Notebook
Coaching Experience's Effect on Winning
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Aug 30, 2023 - Jupyter Notebook
Dunk Vision is a desktop basketball shot tracker and data capture tool built using Python and tkinter. Designed for youth coaches, players, and parents, it lets users track, visualize, and analyze shot data to improve individual and team performance as well as direct training efforts. For courtside users, data can be exported for later analysis.
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Sep 26, 2025 - Python
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May 29, 2025
Multi-scenario analysis of how NBA trash talk and conflicts affect player performance
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Dec 8, 2025 - Jupyter Notebook
Automated NBA shot chart and heat map generator built with Python, R, and the NBA API.
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Aug 2, 2026 - Python
A full CV basketball analytics system powered by YOLOv12, ByteTrack, SuperPoint/LightGlue, FastAPI, MongoDB, minIO, Prometheus and Grafana to turn raw basketball broadcast footage into rich spatial analytics and visualized insights.
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Dec 13, 2025 - Jupyter Notebook
A professional NBA scouting application that combines live player data from the official NBA Stats API with a two-stage AI agent architecture. The system researches player tendencies, identifies comparable players, fetches their live stats, and synthesizes everything into an executive scouting memo.
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Jun 1, 2026 - Python
Aplicación para recomendar pares de jugadores NBA complementarios para la temporada 2020-2021, utilizando datos de 2015 a 2020.
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Nov 12, 2024 - TypeScript
Objective basketball shot recognition using wearable sensors and biomechanical machine learning. Classifies court zones (Paint, FT, 3-Point) with 94.5% accuracy using quaternion-based earth-frame transformations and optimized SVC.
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Jun 23, 2026 - Jupyter Notebook
Files used in code to generate findings, code, and associated visuals and research report
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Jan 17, 2025 - Python
Public case study for a private NBA fantasy analytics platform
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Jun 17, 2026
AI-Powered Basketball Analytics Platform using Computer Vision, FIBA LiveStats, and Artificial Intelligence.
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Jul 1, 2026 - TypeScript
Study NBA player positions through classification models
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Jul 9, 2026 - Jupyter Notebook
Interactive Shiny dashboard for NBA Draft analytics, rookie success prediction, player comparison, team draft grades, and front office decision support.
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Jul 7, 2026 - R
Explainable NBA Draft prediction simulator with a frozen 60-pick 2026 pre-draft board.
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Jun 23, 2026 - Python
A React web app that helps NBA bettors make more informed decisions by visualizing player performance against betting lines with interactive charts and filtering options.
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Mar 5, 2026 - JavaScript
Front-office console for NBA roster construction under the 2023 CBA: cap sheets, a trade machine whose verdicts explain themselves, player eval. Unofficial demo.
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Jul 13, 2026 - TypeScript
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