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Introducing Stint Preferences: Smarter Driver Assignment for Endurance Racing

Managing driver assignments in endurance racing has always been a complex challenge. Team managers need to balance multiple factors: driver availability, weather conditions, day/night transitions, individual preferences, and fair distribution of driving time.

Simon Ybert
Jun 20, 2025 21 min read

Introducing Stint Preferences: Smarter Driver Assignment for Endurance Racing

Previously, stint assignments were based primarily on availability and basic fairness algorithms. But what if a driver prefers night driving? What if someone wants to avoid rain conditions? What about drivers who excel at race starts?

Our new stint preference system allows each driver to specify their preferences for different racing conditions, automatically optimizing assignments while maintaining fairness across the team. The system intelligently processes rain driving preferences, night stint assignments (both in-game and real-world), race start preferences, and consecutive stint limits.

With real-time validation, visual feedback, and transparent fair share calculations, teams can now achieve better coordination and driver satisfaction. This feature is available to all iRacePlan users, helping racing teams optimize their strategy through data-driven driver assignments.

Key Features

Personalized Preferences

Each driver can set preferences for rain driving, night stints (both in-game and real-world), race starts, and consecutive stint limits.

Intelligent Assignment

Our advanced algorithm processes all preferences and race conditions to generate optimal assignments. The system considers:

  • Driver preferences for rain, night, and race start conditions
  • Availability windows and consecutive stint limits
  • Fair distribution ensuring balanced driving time
  • Race conditions matching stints to weather and lighting

Real-time Validation

Visual indicators show whether each driver's preferences are being met, with detailed explanations of current conditions.

Fair Share Monitoring

Built-in fairness calculations ensure no driver is over or under-utilized, with transparent lap distribution tracking.

How It Works

1

Set Your Preferences

Each team member configures their driving preferences through an intuitive interface:

  • Rain Driving: Prefer, avoid, or no preference
  • Night Driving: In-game and real-world time preferences
  • Race Start: Preference for opening stint responsibility
  • Consecutive Stints: Maximum preferred stint length
2

Intelligent Assignment

Our advanced algorithm processes all preferences and race conditions to generate optimal assignments. The system considers:

  • Driver preferences for rain, night, and race start conditions
  • Availability windows and consecutive stint limits
  • Fair distribution ensuring balanced driving time
  • Race conditions matching stints to weather and lighting
3

Visual Feedback & Validation

Team managers get real-time visibility into how well each driver's preferences are being satisfied:

Driver Preferences Status

Rain driving Has rain stints
IRL night No IRL night stints
Consecutive stints 12 assigned / 1 preferred

Fair Share Calculation

Ensuring Equity Across Your Team

Using the iRacing's fair share system, we ensure no driver is overworked or underutilized.

Fair Share = (Total Race Laps ÷ Number of Drivers) × 0.25

Example Calculation:

  • • Total laps: 306
  • • Drivers: 4
  • • Base share: 306 ÷ 4 = 76.5 laps
  • • Fair share threshold: 76.5 × 0.25 = 19 laps minimum

Visual Indicators:

Meets fair share requirement
Below fair share threshold

Smart Notifications

Preference Setup Reminder

Team members who haven't customized their preferences will see a prominent banner encouraging them to set up their driving preferences for better stint assignments.

Preferences not set

Set your driving preferences to help optimize stint assignments for your team.

Technical Highlights

Performance Optimized

  • • Efficient database queries with proper indexing
  • • Cached preference calculations
  • • Minimal UI re-renders with smart state management
  • • Background processing for complex assignments

Robust Logic

  • • Handles edge cases (no preferences, equal scores)
  • • Timezone-aware calculations
  • • Weather data integration
  • • Comprehensive preference validation

Complete User Guide

Understanding Preference Rules

Rain Driving Preference

✓ Prefer Rain

You'll be prioritized for rainy stints when available. If no rain stints exist, you won't be penalized.

✗ Avoid Rain

You'll be excluded from rainy stints completely. Only use this if you're uncomfortable with wet conditions.

? No Preference

You're neutral about rain conditions and can be assigned to any stint based on other factors.

Night Driving Preferences

In-Game Night Driving

Based on the race's virtual time of day (lighting conditions in the simulator).

Prefer Night

Prioritized for dark track conditions

Avoid Night

Excluded from night stints

No Preference

Available for any lighting

IRL Night Driving

Based on your local timezone - when you're actually driving in the dark.

Timezone Required

Make sure your timezone is set in your profile for accurate IRL night detection.

Race Start Preference

✓ Want to Start

You'll be prioritized for the opening stint. Great for drivers who excel at race starts and early positioning.

✗ Prefer Not to Start

You'll be excluded from the opening stint. Useful if you prefer joining once the field has spread out.

? No Preference

You're available for any stint position based on other factors.

Consecutive Stints Limit

Set the maximum number of consecutive stints you prefer to drive before taking a break.

1 Stint

Rotate frequently

2-3 Stints

Balanced approach

4-5 Stints

Longer sessions

6+ Stints

Marathon driving

Note: The system applies a penalty for exceeding your preferred consecutive stint limit, but won't strictly enforce it if team needs require longer sessions.

How to Edit Your Preferences

You can edit your stint preferences in two convenient locations, depending on your workflow:

1
Through User Settings (Global Preferences)

a

Navigate to your User Settings from the main navigation menu

Profile Menu → Settings → Stint Planner
b

Configure your default preferences that will apply to all future stint planners you join

c

These settings become your global defaults and automatically apply when you join new teams

Best For:

Setting up your baseline preferences once, or updating preferences across multiple active stint planners simultaneously.

2
Through Stint Planner (Race-Specific Preferences)

a

Open any Stint Planner where you're a team admin

Stint Planner Page → Drivers Section → "Edit" button
b

Look for the "Driver Preferences" section and click the "Edit preferences" button next to your name

c

Modify preferences specifically for this race while seeing real-time feedback on current assignments

Best For:

Making race-specific adjustments while reviewing stint assignments, or quick changes during race strategy discussions.

Key Differences

User Settings
  • • Sets global defaults for all races
  • • One-time setup for consistent preferences
  • • Applied automatically to new stint planners
  • • Accessible from anywhere in the app
Stint Planner
  • • Race-specific preference overrides
  • • Context-aware editing with live feedback
  • • Visible to team members immediately
  • • Shows impact on current assignments

Tips for Team Managers

Encourage Early Setup

Ask team members to set their preferences before race week to allow time for strategy adjustments.

Review Assignments Regularly

Check the Driver Preferences section to ensure fair distribution and preference satisfaction across your team.

Communicate Changes

Let your team know when you regenerate the stint plan after preference updates so they can review their new assignments.

Use Fair Share Monitoring

Pay attention to the fair share indicators to ensure no driver is overwhelmed or underutilized in the final stint plan.

When Preferences Are Applied

Important: Preferences are for Initial Generation Only

Stint preferences are applied only during automated stint generation. Understanding when this happens is crucial for effective team management.

Preferences ARE Applied During:
Initial Stint Generation

When you first create a stint planner and click "Generate Stints" - preferences determine the initial driver assignments.

Full Stint Plan Reset

When you click "Reset & Regenerate" to completely rebuild the stint plan from scratch using current preferences.

Preferences are NOT Applied During:
Manual Driver Changes

When you manually assign drivers to specific stints using the dropdowns - your manual selections override any preferences.

Example: If Alex prefers to avoid rain but you manually assign him to a rainy stint, the system will keep your manual assignment.
Partial Updates

When you change race parameters (fuel, weather) without doing a full reset - existing driver assignments remain unchanged.

Mid-Race Adjustments

During race execution when you need to make real-time driver swaps due to circumstances.

Best Practices for Preference Usage
  • Set preferences early: Configure all driver preferences before generating your initial stint plan.
  • Use reset judiciously: Only reset when you want to completely rebuild assignments based on updated preferences.
  • Manual overrides are preserved: Your strategic manual assignments won't be lost unless you explicitly reset.
  • Check the visual indicators: Use the preference status display to verify the generated plan meets your team's needs.

Improving Race Strategy Together

Stint preferences are a step forward in helping teams better organize their race strategy. By allowing drivers to express their preferences and combining this with our assignment algorithms, we hope teams can achieve better coordination and driver satisfaction.

This feature is now available to all iRacePlan users. We're always looking to improve and expand the system based on your feedback and suggestions.

🏁 Give It a Try

Feel free to explore the stint preferences feature in your iRacePlan account. We'd love to hear your feedback on how it works for your team.

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