An API Client package to access the APIs for NBA.com
jdeko.me source code | personal website/portfolio | basketball stats site supported by postgres database/etl program written in Go at jdeko.me/bball
🏀 NBA 2K25 Player Data Pipeline | Extract, transform & load player stats into PostgreSQL + interactive Plotly/Dash analytics 📊
Generate NBA season simulation result
Multi-scenario analysis of how NBA trash talk and conflicts affect player performance
sportsdataverse python package
Website to validate NBA game stats with HTML+CSS+Vanilla JS
Using AI to predict the outcomes of NBA games.
Web app for Detroit Pistons scores and news
NBA Stat Spot — A lightweight web app providing suggested NBA player prop bets, complete with real-time injury, standings, team news and live game context. Built with a FastAPI + React/TypeScript stack and deployable via Docker.
A journey into NBA data analysis. This project covers every step, from raw data collection to predicting game outcomes, featuring analysis, visualizations, and predictive models. Each stage is paired with a detailed blog post to share methods and findings.
Spring Boot REST API analyzing 180K+ NBA statistics. Features intelligent rate-limited data pipeline, JWT authentication, optimized MySQL queries with sub-second response times, and Maven build automation.
Basketball analytics app featuring real-time NBA stat visualizations and sportsbook odds.
Visualize NBA teams statistics using parallel coordinates plot
Clustering NBA players and teams through Model-Based methods
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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