TELEMETRY
CHAOS

Machine learning meets 75 years of Formula 1. Race predictions, telemetry analysis, and cross-era simulations.

Try the Race Predictor
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Race Winner Predictor

Optuna-tuned XGBoost model predicting race winners from grid position, form, constructor strength, weather, and track history. Auto-updates weekly during the season.

53% Top-1
85% Top-3
96% Top-5
  • XGBoost + LightGBM
  • Optuna 200 trials
  • 21 Features
  • Auto-Update
Open App ↓
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Virtual Race Simulator

Monte Carlo engine that pits legends against each other across eras. Senna vs. Verstappen? Fangio vs. Hamilton? Era-normalized profiles, lap-by-lap simulation with tyre strategy, weather, and safety cars.

379 Drivers
23 Circuits
10K Max Sims
  • Monte Carlo
  • Era Normalization
  • Tyre Strategy
  • Safety Cars
Open Simulator ↓

Race Predictor

Select any 2024–2025 race to see win probabilities. Green = actual winner, Red = model's top pick.

Virtual Race Simulator

Pick drivers from any era (1950–2025), choose a circuit, and run Monte Carlo simulations to see who would win.

Data Foundation

Built on the most comprehensive open F1 dataset available

1,322,914 Records
76 Seasons
1950–2025 Coverage
470K+ Telemetry Laps
Pipeline Details →

How It Works

1

Ingest

Pull race results, qualifying, lap times, pit stops, and per-lap telemetry from FastF1, Jolpica-F1, and open datasets. 1950–present.

2

Engineer

Build 21 features per driver per race: rolling form, practice pace, tyre degradation, pit stop speed, safety car probability, weather.

3

Train

XGBoost + LightGBM ensemble tuned with Optuna (200 trials, GPU). Time-series split to prevent leakage. Evaluated on 2024–2025.

4

Predict

Win probabilities for every driver in every race. Auto-retrains weekly during the season with fresh data.