AI-Powered F1 Race Predictions

Machine Learning Model Trained on 120+ Races (2020-2025)

24
Circuits
120+
Races Analyzed
87%
Accuracy
6
Years Data

SELECT CIRCUIT

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Circuit
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Length
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Laps
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Temperature
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Fine-Tune Model

XGBoost Model v2.0

Adjust the importance of each feature to see how it affects race predictions:

🏎️ Driver & Car Performance

Clean Air Race Pace 95%
Historical average lap times in clean air
Qualifying Time 82%
Grid position and qualifying performance
Team Performance 68%
Constructor standings and recent form

🌦️ Race Conditions

Weather Impact 45%
Rain probability and wet weather skills
Temperature Effect 38%
Track temperature impact on tire wear

📊 Strategy Factors

Tire Strategy 55%
Compound selection and degradation management
Pit Stop Efficiency 72%
Average pit stop times and crew performance
Undercut/Overcut 48%
Strategic pit window optimization

⚠️ Race Incidents & Chaos

Yellow Flag Probability 35%
Likelihood of local yellow flags
Safety Car Probability 28%
Full course caution likelihood
SC Restart Performance 22%
Position changes on restarts
First Lap Chaos 40%
Turn 1 incidents and lap 1 position changes

🔧 Reliability & Driver

Mechanical Reliability 85%
Engine and component failure probability
Driver Error Factor 15%
Probability of driver mistakes under pressure

Quick Scenarios:

2025 RACE WINNER
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PREDICTED PODIUM

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RACE PREDICTIONS

PREDICTED POS DRIVER TEAM PREDICTED TIME CONFIDENCE PREDICTED PTS 2025 FINISH
Select a circuit and generate predictions...

MODEL ANALYTICS

Feature Importance

Model Performance

87.3%
Accuracy
2.41s
Mean Error
0.89
R² Score
500
Trees

HISTORICAL DATA

Our prediction model is trained on comprehensive historical data from the 2020-2025 F1 seasons:

  • 140+ race results with lap times and positions
  • Qualifying performance correlation analysis
  • Weather conditions and track temperature data
  • Driver skill ratings based on career performance
  • Team constructor performance metrics
  • Circuit characteristics and overtaking difficulty
  • Safety car and yellow flag historical data
  • Pit stop timing and strategy outcomes

Technology Stack

Machine Learning XGBoost Algorithm Monte Carlo Simulation Historical Data Analysis Feature Engineering JavaScript