Explainable football intelligence
AtlasKick AI
Problem
Many sports prediction products show a number without explaining how the model reached it.
Objective
Build a transparent football-intelligence interface with useful predictions, simulation, and live context.
Solution
An ensemble of Elo, Poisson/Dixon-Coles, and feature models, paired with SHAP-style explanations, Monte Carlo simulation, and a grounded analyst.
Main features
What the product includes.
- Ensemble predictions
- SHAP-style explanations
- 10,000-run tournament simulator
- Grounded AI analyst
- Morocco mode
- Responsive data visualization
Technology
Built with the right tools for the job.
Challenges
Balancing the project’s technical requirements with a clear, responsive experience—and keeping the implementation maintainable as the scope grew.
What I learned
The project strengthened my ability to turn a broad idea into structured features, make deliberate technology choices, and communicate complex functionality through a polished interface.
Next project
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