2023 Mexico City Grand Prix

Dynamic Rating System (DRS)

DRS is an ELO-inspired system for Formula 1 that measures how much a driver exceeds or falls short of expectations in each race. It goes beyond simple wins or points.

How It Works

• Expected Performance: Calculated by comparing a driver's Elo against all others in the race.
• Actual Performance: Based on finishing position, bonus points for scoring, and partial credit if a driver retires after completing many laps.
• Modifiers: Adjustments for reliability, team strength, race importance, and field competitiveness.
• K-Factor: Dynamic multiplier (15-45) depending on driver Elo, finishing position, and race competitiveness.

Calculation Steps

1. Compute each driver's expected score vs all other drivers.
2. Compute the actual score from race position and bonuses.
3. Calculate the difference between actual and expected performance.
4. Apply the dynamic K-factor to scale Elo changes.
5. Apply modifiers for reliability, team strength, and race importance.
6. Use smart capping to limit extreme changes:
   • Exceptional performances: up to +40 Elo
   • Catastrophic underperformances: down to -30 Elo
   • Standard bounds: ±25 Elo

Examples

Transparency

• Every race runs hundreds of calculations for accuracy.
• We track Math Operations and Data Points per race to show computational work.

The Idea: Elo adapts race-by-race, rewarding drivers who beat expectations and penalizing underperformance. The system self-balances based on current skill and team context.

Version: 1.0

Data Source: openf1.org

This tool is independent and not affiliated with Formula 1, the FIA, or any teams. Formula 1, F1, and related marks are trademarks of Formula One Licensing BV.