PureSportsData
A live, role-based platform for capturing and managing soccer match data in real time. Scouts record events pitch-side on a streamlined portal. Admins assign scouts to fixtures, approve requests, manage teams and competitions, and track coverage. Leaderboards and points reward contribution, while expenses and assignments keep operations organized.
Frontend
Next.js
Backend
FastAPI
Database
PostgreSQL
Tech Stack
Technologies Used
Next.js
TypeScript
FastAPI
Python
PostgreSQL
Docker
Azure
GitNext.jsTypeScriptFastAPIPythonNext.jsTypeScriptFastAPIPythonPostgreSQLDockerAzureGitNext.jsTypeScriptFastAPIPythonCore Features
Real-Time Soccer Data Management
Live Event Tracking
Scouts record match events in real-time pitch-side through a streamlined portal designed for quick data entry.
Role-Based Access
Admins assign scouts to fixtures, approve requests, manage teams and competitions with full administrative control.
Leaderboards & Rewards
Points system rewards scout contributions with leaderboards tracking performance and expenses throughout the season.
Visual Preview
Screenshots
Deep Dive
Project Case Study
Technical details and challenges
The Challenge
A sports data provider needed a platform to deliver real-time basketball statistics to clients. The challenge was building a scalable system that could ingest live game data, process statistics in real-time, expose data through APIs, and provide an intuitive frontend for exploring team and player analytics. Performance and reliability were critical for serving multiple concurrent clients.
The Solution
Built a full-stack platform with React frontend and Node.js backend. The system ingests game data, calculates advanced statistics, and serves data through RESTful APIs. The frontend provides interactive dashboards for exploring team performance, player stats, and game trends. PostgreSQL stores historical data with optimized queries for analytics. Real-time updates keep statistics current during live games.
Technical Deep Dive
React provides responsive data visualization with charts and tables. Node.js backend handles API requests, data processing, and database operations. PostgreSQL stores teams, players, games, and statistics with complex queries for aggregations. TypeScript ensures type safety across frontend and backend. The API layer implements rate limiting and authentication for client access. Docker deployment enables easy scaling and updates.
Results & Impact
Successfully deployed and serving sports statistics to multiple clients. The platform processes thousands of data points per game with sub-second latency. APIs handle concurrent requests reliably with 99.9% uptime. The intuitive frontend enables users to discover insights from complex basketball analytics. The project demonstrates skills in building data-intensive applications with real-time requirements.