basketball-analytics

Kinetic Adaptation via Wasserstein Heuristics and Identity

An Android application designed to help referees and staff coordinate, organize, and manage basketball matches for Club Bob1. The app aims to simplify match planning, staff coordination, game management, and communication before basketball games.

Coaching Experience's Effect on Winning

Competition-winning Rebound Prediction 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.

Claude tool-use agent that writes basketball scouting reports: 7 tools across Basketball Reference, ESPN, EuroLeague and FIBA, 5-call budget per report, 24h Redis cache, wrong-player validation exposed at /metrics

Multi-scenario analysis of how NBA trash talk and conflicts affect player performance

Automated NBA shot chart and heat map generator built with Python, R, and the NBA API.

Basketball analytics for the Lebanese Basketball Federation Division A: scrapes, cleans, and analyzes RealGM data to rank teams and players and profile playing styles.

Database for the BYTHERIM Fictional Recruiting Database with player rankings, class rankings, and a comprehensive statistics page.

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.

Projection and optimisation engine for EuroLeague Fantasy. Models expected PIR from minutes, injuries and de-vigged bookmaker odds, then solves your best 4 transfers or a full squad rebuild under your credit budget.

WNBA lineup stints and player impact ratings, 2003-2026. 267,293 stints reconstructed from play-by-play, with ARC ratings and channel decompositions.

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.

Interactive Shiny dashboard for NBA Draft analytics, rookie success prediction, player comparison, team draft grades, and front office decision support.

Public case study for a private NBA fantasy analytics platform

Coach-facing NBA analytics: 5-man lineup value with empirical-Bayes shrinkage & honest uncertainty, an opponent scouting one-pager, and a player-vs-player matchup layer. One compute engine, Streamlit + CSV front-ends.

EuroLeague game win probability prediction using leakage-safe feature engineering, time-aware validation and machine learning.