Algorithm × F1 × Data
F1 RACE CHAOS ANALYZER
Measuring overtaking turbulence using inversion counting across 2024, 2025, and 2026. Did the new regulations actually produce more exciting racing?
49 Races Analyzed
76,977 Lap Inversions
3 Seasons Covered
13 Analytics Modules
Explore by Season
How We Measure Chaos
01
Inversion
Driver A starts P6 but runs in P2 after lap 8 — they are now ahead of 4 drivers
who started ahead of them. That's 4 inversions on that lap.
More inversions = more overtaking = more chaotic race.
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02
Fenwick Tree
Per-lap inversions counted in O(n log n) using a Binary Indexed Tree.
Start→finish delta uses Merge Sort. Both give exact counts fast enough to run
across every lap of every race.
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03
Volatility Score
inversions ÷ (grid × laps) Normalised so a 20-car 70-lap race and a 20-car 50-lap race are comparable on the same scale. Higher = more chaotic.
Average Volatility Trend
Each point is a full season's average volatility score. Watch how the numbers shift as technical regulations change.
Cross-Season Analysis
Is 2025 more chaotic than 2024?
Circuit-by-circuit comparisons, average volatility per season,
and head-to-head inversion breakdowns — side by side.
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