F1 Race Insights
A machine learning platform for Formula 1 race prediction, featuring 8 ML models, Monte Carlo simulation, and SHAP explainability.
F1 generates 1.5 billion data points per race weekend
Fans want to understand "who will win and why" but the raw data is inaccessible and overwhelming. Traditional media reduces this to pundit opinions, losing data-driven insight.
"As a new F1 fan, I want to understand what might happen before a race starts, so I can follow the action with context instead of confusion."
Technical Excellence
Built with production-grade ML engineering practices and modern web technologies
8 ML Models
From Elo baselines to Neural Ranking Networks (NBT-TLF) with temporal features
Monte Carlo Engine
1000+ simulation runs with temperature, tire degradation, safety cars, and DRS zones
SHAP Explainability
Interpretable predictions with waterfall charts showing feature contributions
Explore Features
24 interactive tools for F1 analysis and prediction
Season Simulator
48 races • 4 counterfactual scenarios • F1-level physics
Pit Strategy
24 tracks • 10 teams • Temperature slider (5-45°C)
Championship
2025 results • 2026 projections • Monte Carlo evolution