LapStatisticsAnalyzer - Circuit Session - Lime Rock MX-5

Detailed lap timing statistics with best/worst/average times and consistency metrics

Sample Data

Attribute	Value
Source	garage61
Category	circuit_lap
File	01K451BYJ64G0T2GPQ44AKXC86

Available Channels: LongAccel, VertAccel, YawRate, abs_active, brake, clutch, drs_active, gear, lap_distance_pct, lat_accel, latitude, longitude, position_type, rpm, speed, speed_kph, speed_mph, steering, throttle, time, track_pct, yaw

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Configuration

Setting	Value
Slice Type	lap
Metadata Only	True

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When to Use

• User asks about lap times or 'what was my best lap'
• User wants consistency analysis across laps
• User asks 'how fast did I go' or lap time distribution
• User wants to see improvement over a session

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Key Options

Option	Description
lap_selection	all
n_best_laps	Number of best laps to analyze when lap_selection='best' (default: 5)
filter_outliers	Remove outlier laps using IQR method (default: True)

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Sample Output

Subjects Analyzed: 1

All Laps (Default)

Options: lap_selection=all

{
  "metrics": [
    {
      "subject_id": "01K451BYJ64G0T2GPQ44AKXC86",
      "driver_name": "Marcel Hild",
      "lap_count": 5,
      "best_lap": 62.70819854736328,
      "worst_lap": 64.7780990600586,
      "average_lap": 63.404999542236325,
      "median_lap": 63.09519958496094,
      "std_dev": 0.745294905311843,
      "consistency": 1.1754513219661418,
      "lap_times": [
        62.70819854736328,
        62.87300109863281,
        63.09519958496094,
        63.570499420166016,
        64.7780990600586
      ],
      "outliers_filtered": 2,
      "best_lap_formatted": "1:02.708",
      "worst_lap_formatted": "1:04.778",
      "average_lap_formatted": "1:03.405",
      "median_lap_formatted": "1:03.095",
      "std_dev_formatted": "0.745s",
      "consistency_formatted": "1.18%",
      "notes": "2 outlier(s) filtered"
    }
  ],
  "metadata": {
    "analyzer": "lapstats",
    "title": "Lap Statistics",
    "subjects_analyzed": 1
  }
}

Metrics Summary

Metric	Value
Subject: 01K451BYJ64G0T2GPQ44AKXC86	Marcel Hild

Best Lap Only

Options: lap_selection=best

{
  "metrics": [
    {
      "subject_id": "01K451BYJ64G0T2GPQ44AKXC86",
      "driver_name": "Marcel Hild",
      "lap_count": 1,
      "best_lap": 62.70819854736328,
      "worst_lap": 62.70819854736328,
      "average_lap": 62.70819854736328,
      "median_lap": 62.70819854736328,
      "std_dev": 0.0,
      "consistency": 0.0,
      "lap_times": [
        62.70819854736328
      ],
      "outliers_filtered": 0,
      "best_lap_formatted": "1:02.708",
      "worst_lap_formatted": "N/A",
      "average_lap_formatted": "N/A",
      "median_lap_formatted": "N/A",
      "std_dev_formatted": "N/A",
      "consistency_formatted": "N/A",
      "notes": "Single lap selected"
    }
  ],
  "metadata": {
    "analyzer": "lapstats",
    "title": "Lap Statistics",
    "subjects_analyzed": 1
  }
}

Metrics Summary

Metric	Value
Subject: 01K451BYJ64G0T2GPQ44AKXC86	Marcel Hild

No Outlier Filtering

Options: filter_outliers=False

{
  "metrics": [
    {
      "subject_id": "01K451BYJ64G0T2GPQ44AKXC86",
      "driver_name": "Marcel Hild",
      "lap_count": 7,
      "best_lap": 12.229122156,
      "worst_lap": 274.716666666,
      "average_lap": 86.28154093331166,
      "median_lap": 63.09519958496094,
      "std_dev": 78.93126792092303,
      "consistency": 91.48105964163324,
      "lap_times": [
        12.229122156,
        62.70819854736328,
        62.87300109863281,
        63.09519958496094,
        63.570499420166016,
        64.7780990600586,
        274.716666666
      ],
      "outliers_filtered": 0,
      "best_lap_formatted": "0:12.229",
      "worst_lap_formatted": "4:34.717",
      "average_lap_formatted": "1:26.282",
      "median_lap_formatted": "1:03.095",
      "std_dev_formatted": "78.931s",
      "consistency_formatted": "91.48%",
      "notes": ""
    }
  ],
  "metadata": {
    "analyzer": "lapstats",
    "title": "Lap Statistics",
    "subjects_analyzed": 1
  }
}

Metrics Summary

Metric	Value
Subject: 01K451BYJ64G0T2GPQ44AKXC86	Marcel Hild

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Example Calls

Show me detailed lap times for that Formula Vee session

analyze(analyzers='lapstats', event='01H8SP4HK4')

Displays all lap times with statistics including best, worst, average, and consistency

What were my 10 best laps

analyze(analyzers='lapstats', event='01H8SP4HK4', lap_selection='best', n_best_laps=10)

Shows only the top 10 fastest laps with detailed statistics

How consistent were my lap times today

analyze(analyzers='lapstats', after='2023-08-26', lap_selection='all')

Analyzes all laps to show consistency metrics (std dev, coefficient of variation)

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Generated from b4racing.analysis.analyzers.lapstats.LapStatisticsAnalyzer