LoL Professional Analytics
Analytics platform for professional League of Legends, offering player rankings, team performance data, and match predictions.
Year
2025
Client
Esports Analytics
Role
Full Stack Developer | Data Analyst
Duration
5 months
Technology Stack
React
Django
SQL
Python
Javascript
Project Overview
Built a data-driven analytics platform for professional League of Legends, providing insights on player performance, team strategies, and match outcomes. The system aggregates match data, computes rankings, and generates predictive analytics for teams and players.
Challenges
- Aggregating large amounts of match and player data from multiple sources
- Designing predictive models for player and team performance
- Ensuring fast data retrieval and dashboard performance
- Creating intuitive visualizations for complex esports statistics
Solutions
- Developed backend APIs with Django and PostgreSQL to handle high-volume data
- Implemented predictive analytics models using Python and machine learning libraries
- Built interactive dashboards and charts with React and Chart.js
- Optimized database queries and caching to maintain real-time performance