Circuit Comparison — 2024 · 2025 · 2026
Hungarian Grand Prix
Hungaroring — 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
2389
Volatility score
1.7064
Start → finish
31
DNFs
1
Winner
PIA
Biggest mover
PER +9
Season
2025
Lap inversions
1497
Volatility score
1.0693
Start → finish
21
DNFs
1
Winner
NOR
Biggest mover
ANT +5
Season
2026
Lap inversions
1521
Volatility score
0.9877
Start → finish
21
DNFs
3
Winner
NOR
Biggest mover
STR +7
Race Vitals at a Glance
Side-by-side key facts from each year's race at this circuit.
2024
2025
2026
Volatility Score
1.7064
1.0693
0.9877
Lap Inversions
2,389
1,497
1,521
On-Track Overtakes
19
25
27
SC / VSC Events
None
None
0 SC · 4 VSC
DNFs
1
1
3
Winner
PIA
NOR
NOR
Winner Started
—
—
—
Biggest Mover
PER +9
ANT +5
STR +7
Podium Comparison
Who stood on the podium at Hungarian 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
-892
lap inversions
Volatility delta
-0.6371
score change
Change
-37%
more chaos
2025 → 2026
Inversion delta
+24
lap inversions
Volatility delta
-0.0816
score change
Change
+2%
more chaos
2024 → 2026
Full Range
Inversion delta
-868
lap inversions
Volatility delta
-0.7187
score change
Change
-36%
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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