Model trained on live 2026 season

ML-powered
race predictions

Own-trained XGBoost & LightGBM models on real F1 telemetry. Not a wrapper. Not an API relay. A prediction engine built from raw data.

1.59 MAE
Avg position error
8/9
Podium calls correct
3 races
2026 live validation

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Japanese Grand Prix 2026 — Predicted Grid SAMPLE OUTPUT
POS
DRIVER
CONFIDENCE
DNF %
P1
K. Antonelli
Mercedes
87.8%
25.3%
P2
O. Piastri
McLaren
87.5%
25.7%
P3
S. Leclerc
Ferrari
84.8%
32.2%
P4
G. Russell
Mercedes
83.3%
24.7%
P5
L. Hamilton
Ferrari
82.8%
35.5%
Full grid P1–P20 available with Pro access
01
Real telemetry
FP2 long-run pace, clipping detection, tyre degradation — from FastF1 lap data
02
2026 regulation-aware
New PU features: MGU-K power split, battery clipping, turbo lag proxy
03
Strategy simulator
Override tyres, weather, grid position — get instant re-prediction
04
Enterprise API
REST API with predictions, DNF probabilities, H2H matchups, embeddable widget