Circuit Comparison — 2024 · 2025 · 2026
Monaco Grand Prix
Circuit de Monaco — side-by-side chaos metrics across seasons at this circuit.
Race Snapshots by Year
Key metrics for each year at this circuit, side by side.
Season
2024
Lap inversions
294
Volatility score
0.1885
Start → finish
4
DNFs
4
Winner
LEC
Biggest mover
BOT +4
Season
2025
Lap inversions
1125
Volatility score
0.7212
Start → finish
20
DNFs
2
Winner
NOR
Biggest mover
BEA +8
Season
2026
Lap inversions
1119
Volatility score
0.6521
Start → finish
29
DNFs
6
Winner
ANT
Biggest mover
ALO +11
Race Vitals at a Glance
Side-by-side key facts from each year's race at this circuit.
2024
2025
2026
Volatility Score
0.1885
0.7212
0.6521
Lap Inversions
294
1,125
1,119
On-Track Overtakes
6
4
8
SC / VSC Events
2 SC · 0 VSC
0 SC · 4 VSC
14 SC · 0 VSC
DNFs
4
2
6
Winner
LEC
NOR
ANT
Winner Started
—
—
—
Biggest Mover
BOT +4
BEA +8
ALO +11
Podium Comparison
Who stood on the podium at Monaco Grand Prix across the years?
Grid start positions shown in brackets — green = gained places to podium.
Year-over-Year Changes
How much did volatility shift between seasons?
Green = increased chaos, red = decreased.
The total row spans the full 2024–2026 range.
2024 → 2025
Inversion delta
+831
lap inversions
Volatility delta
+0.5327
score change
Change
+283%
more chaos
2025 → 2026
Inversion delta
-6
lap inversions
Volatility delta
-0.0691
score change
Change
-1%
more chaos
2024 → 2026
Full Range
Inversion delta
+825
lap inversions
Volatility delta
+0.4636
score change
Change
+281%
more chaos
Inversions Per Lap — All Years
2024 vs 2025 vs 2026 — hover for exact values. Higher peaks = more overtaking activity.
Cumulative Inversions — Race Chaos Over Time
Steeper slope = more chaotic phase. The gap between curves shows the effect of regulation changes.
Driver Position Changes by Year
Positions gained (green) or lost (red) from grid start to finish.
DNF drivers shown in grey.
2024 Race
2025 Race
2026 Race
Methodology
Inversions are counted using a Fenwick Tree (BIT) per lap, measuring each lap's position array against the original grid order. Start→finish totals use a MergeSort-based counter. DNF drivers are excluded from inversion counts but shown in movement charts. Data via FastF1.
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