Circuit Comparison — 2024 · 2025 · 2026
Austrian Grand Prix
Red Bull Ring — 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
1739
Volatility score
1.2246
Start → finish
42
DNFs
0
Winner
RUS
Biggest mover
PIA +5
Season
2025
Lap inversions
1445
Volatility score
1.0321
Start → finish
20
DNFs
4
Winner
NOR
Biggest mover
HUL +11
Season
2026
Lap inversions
1119
Volatility score
0.7164
Start → finish
16
DNFs
4
Winner
RUS
Biggest mover
VER +3
Race Vitals at a Glance
Side-by-side key facts from each year's race at this circuit.
2024
2025
2026
Volatility Score
1.2246
1.0321
0.7164
Lap Inversions
1,739
1,445
1,119
On-Track Overtakes
16
16
19
SC / VSC Events
0 SC · 3 VSC
3 SC · 0 VSC
0 SC · 7 VSC
DNFs
0
4
4
Winner
RUS
NOR
RUS
Winner Started
—
—
—
Biggest Mover
PIA +5
HUL +11
VER +3
Podium Comparison
Who stood on the podium at Austrian 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
-294
lap inversions
Volatility delta
-0.1925
score change
Change
-17%
more chaos
2025 → 2026
Inversion delta
-326
lap inversions
Volatility delta
-0.3157
score change
Change
-23%
more chaos
2024 → 2026
Full Range
Inversion delta
-620
lap inversions
Volatility delta
-0.5082
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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