Circuit Comparison — 2024 · 2025 · 2026
Spanish Grand Prix
Circuit de Barcelona-Catalunya — 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
1266
Volatility score
0.9591
Start → finish
16
DNFs
0
Winner
VER
Biggest mover
PER +3
Season
2025
Lap inversions
1362
Volatility score
1.0861
Start → finish
27
DNFs
2
Winner
PIA
Biggest mover
HUL +10
Season
2026
Lap inversions
1128
Volatility score
0.7769
Start → finish
30
DNFs
5
Winner
HAM
Biggest mover
GAS +7
Race Vitals at a Glance
Side-by-side key facts from each year's race at this circuit.
2024
2025
2026
Volatility Score
0.9591
1.0861
0.7769
Lap Inversions
1,266
1,362
1,128
On-Track Overtakes
32
27
16
SC / VSC Events
None
7 SC · 0 VSC
0 SC · 15 VSC
DNFs
0
2
5
Winner
VER
PIA
HAM
Winner Started
—
—
—
Biggest Mover
PER +3
HUL +10
GAS +7
Podium Comparison
Who stood on the podium at Spanish 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
+96
lap inversions
Volatility delta
+0.127
score change
Change
+8%
more chaos
2025 → 2026
Inversion delta
-234
lap inversions
Volatility delta
-0.3092
score change
Change
-17%
more chaos
2024 → 2026
Full Range
Inversion delta
-138
lap inversions
Volatility delta
-0.1822
score change
Change
-11%
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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