Circuit Comparison — 2024 · 2025 · 2026
Miami Grand Prix
Miami International Autodrome — 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
1709
Volatility score
1.4991
Start → finish
34
DNFs
1
Winner
NOR
Biggest mover
ALO +6
Season
2025
Lap inversions
1125
Volatility score
0.9868
Start → finish
18
DNFs
4
Winner
PIA
Biggest mover
GAS +7
Season
2026
Lap inversions
1287
Volatility score
1.0263
Start → finish
19
DNFs
4
Winner
ANT
Biggest mover
BOR +9
Race Vitals at a Glance
Side-by-side key facts from each year's race at this circuit.
2024
2025
2026
Volatility Score
1.4991
0.9868
1.0263
Lap Inversions
1,709
1,125
1,287
On-Track Overtakes
22
13
35
SC / VSC Events
5 SC · 2 VSC
0 SC · 9 VSC
7 SC · 0 VSC
DNFs
1
4
4
Winner
NOR
PIA
ANT
Winner Started
—
—
—
Biggest Mover
ALO +6
GAS +7
BOR +9
Podium Comparison
Who stood on the podium at Miami 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
-584
lap inversions
Volatility delta
-0.5123
score change
Change
-34%
more chaos
2025 → 2026
Inversion delta
+162
lap inversions
Volatility delta
+0.0395
score change
Change
+14%
more chaos
2024 → 2026
Full Range
Inversion delta
-422
lap inversions
Volatility delta
-0.4728
score change
Change
-25%
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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