Circuit Comparison — 2024 · 2025 · 2026
Japanese Grand Prix
Suzuka Circuit — 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
956
Volatility score
0.9019
Start → finish
12
DNFs
3
Winner
VER
Biggest mover
MAG +5
Season
2025
Lap inversions
750
Volatility score
0.7075
Start → finish
11
DNFs
0
Winner
VER
Biggest mover
DOO +4
Season
2026
Lap inversions
1156
Volatility score
0.9914
Start → finish
21
DNFs
2
Winner
ANT
Biggest mover
LAW +5
Race Vitals at a Glance
Side-by-side key facts from each year's race at this circuit.
2024
2025
2026
Volatility Score
0.9019
0.7075
0.9914
Lap Inversions
956
750
1,156
On-Track Overtakes
25
7
39
SC / VSC Events
None
None
7 SC · 0 VSC
DNFs
3
0
2
Winner
VER
VER
ANT
Winner Started
—
—
—
Biggest Mover
MAG +5
DOO +4
LAW +5
Podium Comparison
Who stood on the podium at Japanese 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
-206
lap inversions
Volatility delta
-0.1944
score change
Change
-22%
more chaos
2025 → 2026
Inversion delta
+406
lap inversions
Volatility delta
+0.2839
score change
Change
+54%
more chaos
2024 → 2026
Full Range
Inversion delta
+200
lap inversions
Volatility delta
+0.0895
score change
Change
+21%
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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