Race Result Predictor
ML Model

Race Result Predictor

XGBoost ensemble model for accurate motorsport race finish predictions with confidence scoring and podium probabilities

XGBoostRace PredictionMachine LearningMotorsport
Schedule Demo

Model Performance

85% Top-3 Accuracy Win Probability Confidence Scores
Developer
Strongly.AI
Algorithm
XGBoost
Current Version
1.0.0
Data Source
OpenF1

Model Features

Input features used for race result predictions

Grid Position

Starting position encoding with historical position-to-finish correlations for each circuit.

Qualifying Performance

Qualifying time delta analysis with session-by-session progression tracking.

Recent Form

Rolling performance metrics from recent races weighted by recency and relevance.

Track History

Circuit-specific performance encoding with historical results at each venue.

Team Performance

Constructor performance encoding with car development trajectory factors.

Weather Risk

Weather condition impact assessment with rain probability adjustments.

Use Cases

How the Race Result Predictor is used

Pre-Race Analysis - Generate race predictions before the start with podium probabilities and expected positions

Fantasy Sports - Data-driven driver selection for fantasy motorsport leagues with confidence scoring

Broadcast Enhancement - Real-time win probability overlays for race broadcasts and streaming

Historical Comparison - Compare predicted vs actual results to identify performance anomalies

Strategy Validation - Validate race strategies against predicted outcomes and probabilities

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Ready to Get Started?

See how the Race Result Predictor can enhance your motorsport analytics

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