Real-Time Sports Statistics Platform

Sports fans and analysts needed a faster way to access live game statistics. Existing platforms were either too slow, too cluttered, or locked behind expensive subscriptions.

I built a real-time sports statistics platform that pulls live data, processes it, and displays it in a clean, fast interface. Users can track games as they happen, compare player and team stats across seasons, and explore historical data through interactive charts and filters.

The platform handles high-traffic spikes during major games without breaking a sweat. The backend ingests data from multiple sources, normalizes it, and pushes updates to connected clients in real time via WebSockets.

Key features include live score tracking with sub-second updates, player and team comparison tools, historical stats with filtering and search, responsive design that works on desktop and mobile, and an API layer for third-party integrations.

The architecture is built for scale: event-driven data processing, caching layers for frequently accessed stats, and a frontend optimized for fast rendering even with large datasets.