Strategy Optimizer
ML Model

Strategy Optimizer

Dynamic programming model for optimal pit stop timing, tire compound selection, and undercut/overcut analysis

Pit WindowsTire StrategyWhat-If AnalysisReal-time
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Model Capabilities

Pit Windows Tire Life Prediction What-If Analysis
Developer
Strongly.AI
Algorithm
Dynamic Programming
Current Version
1.0.0
Update Frequency
Real-time

Model Capabilities

Strategy optimization features

Optimal Pit Stop Lap

Calculate the optimal lap for pit stops based on tire degradation, track position, and gap analysis.

Tire Compound Selection

Recommend optimal tire compound for each stint based on remaining laps and track conditions.

Undercut/Overcut Analysis

Real-time assessment of whether pitting now or staying out will gain or lose positions.

Multi-Stop Comparison

Compare one-stop, two-stop, and three-stop strategies with time predictions.

Pit Exit Prediction

"If Driver X pits now, where will they emerge?" scenario analysis.

Tire Cliff Warning

Alerts when drivers approach performance cliff based on tire age and degradation curve.

Use Cases

How the Strategy Optimizer is used

Live Race Strategy - Real-time pit window recommendations during live race sessions

Pre-Race Planning - Develop optimal race strategies before the start based on predicted conditions

What-If Scenarios - Explore alternative strategies and their potential outcomes

Broadcast Analysis - Provide strategy insights for race commentary and analysis

Post-Race Review - Analyze strategy decisions and compare with optimal alternatives

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Ready to Get Started?

See how the Strategy Optimizer can enhance your race strategy analysis

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