Circuit Comparison — 2024 · 2025 · 2026
Canadian Grand Prix
Circuit Gilles Villeneuve — 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
1521
Volatility score
1.0864
Start → finish
17
DNFs
5
Winner
VER
Biggest mover
OCO +8
Season
2025
Lap inversions
2283
Volatility score
1.6307
Start → finish
31
DNFs
2
Winner
RUS
Biggest mover
SAI +6
Season
2026
Lap inversions
1935
Volatility score
1.2934
Start → finish
18
DNFs
6
Winner
ANT
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
1.0864
1.6307
1.2934
Lap Inversions
1,521
2,283
1,935
On-Track Overtakes
38
22
26
SC / VSC Events
13 SC · 0 VSC
5 SC · 0 VSC
0 SC · 15 VSC
DNFs
5
2
6
Winner
VER
RUS
ANT
Winner Started
—
—
—
Biggest Mover
OCO +8
SAI +6
STR +7
Podium Comparison
Who stood on the podium at Canadian 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
+762
lap inversions
Volatility delta
+0.5443
score change
Change
+50%
more chaos
2025 → 2026
Inversion delta
-348
lap inversions
Volatility delta
-0.3373
score change
Change
-15%
more chaos
2024 → 2026
Full Range
Inversion delta
+414
lap inversions
Volatility delta
+0.207
score change
Change
+27%
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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