About EuroLeague Edge

Built by basketball enthusiasts and data scientists passionate about bringing professional-grade analytics to the community.

Our Mission

We believe that accurate, timely information is the foundation of smart decision-making in fantasy and betting. Our mission is to democratize professional-grade sports analytics, making advanced intelligence accessible to everyone from casual enthusiasts to serious professionals.

By combining 10 years of EuroLeague data with cutting-edge machine learning, we've built a platform that delivers actionable insights you can trust. We're committed to transparency - you can verify our accuracy metrics and see exactly how our projections perform.

Our Technology

Ensemble Machine Learning

Our core projection engine combines multiple machine learning models - EWMA for recent performance, SMA for stability, season averages for regression to the mean, and position medians for comparative analysis. This ensemble approach achieves MAE 4.9, competitive with industry standards.

Comprehensive Data

We've collected and analyzed 2,657+ games across 10 seasons of EuroLeague history. Our dataset includes detailed player statistics, travel distances, team performance metrics, and injury history. This depth enables highly accurate predictions.

Real-time Updates

Our API-powered data pipeline delivers fresh projections and player availability updates every hour during the season. PRO and ELITE users get real-time alerts 2 hours before lineup lock.

Why Trust Us?

  • ✓Transparent accuracy metrics reported publicly every round
  • ✓Open methodology - we explain exactly how our models work
  • ✓Continuous improvement - we've achieved 8% better accuracy in the last 10 rounds
  • ✓Independent data sources - we validate against official EuroLeague statistics
  • ✓No hidden fees - our pricing is simple and straightforward
  • ✓Community focused - we listen to user feedback and iterate regularly

10

Seasons Analyzed

2,657+

Games Studied

1,879+

Historical Records

4.9 MAE

Projection Accuracy

Built With

Backend

  • Python 3.13 - Core logic
  • FastAPI - High-performance async API
  • SQLAlchemy 2.0 - Async database ORM
  • Polars - Data processing (not pandas)
  • TimescaleDB - Time-series data
  • Redis - Caching and real-time data

Frontend

  • Next.js 15 - Landing pages with SSR
  • React 19 - App with client-side rendering
  • TypeScript 5.9 - Type-safe code
  • Tailwind CSS 4.1 - Styling
  • TanStack Query v5 - Data fetching
  • Shadcn/ui - UI components

Join our community

Be part of a growing community of basketball enthusiasts using data-driven insights to win.

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