2025 Season — Round 3
Japanese Grand Prix
Suzuka — 53 laps — 20 drivers
Total lap inversions
750
start→finish: 11
Volatility score
0.7075
inversions / (grid × laps)
Winner
VER
Max Verstappen
Biggest mover
DOO
+4 positions (Jack Doohan)
Most overtaken
LAW
-4 positions (Liam Lawson)
DNFs
0
retirements
On-track overtakes
7
of 93 total moves
Race Summary
The 2025 Japan GP produced 750 lap inversions across 53 laps, with a volatility score of 0.7075. Jack Doohan (DOO) was the biggest mover, gaining 4 positions.
Inversions Per Lap
Each point shows how many active inversions existed that lap relative to the starting grid order.
Higher peaks indicate more overtaking activity.
Cumulative Inversion Curve
Running total of inversions across the race. Steep sections indicate high-action phases.
Flat sections mean positions locked in for multiple laps.
Lap-by-Lap Position Tracker
Each line is one driver's position through the race. P1 is at the top.
Lines end where a driver retired. Use filters to isolate specific battles or storylines.
Quick select:20 / 20 drivers shown
Driver Position Changes
Positions gained (green) or lost (red) from grid start to final classification.
DNF drivers shown in grey.
Position Heatmap
Rows = drivers, columns = laps. Cell colour = position: green (P1) → yellow (mid-field) → red (last).
Faded cells = retired. More colour variance across a row = more movement for that driver throughout the race.
Hover any cell for driver, lap, and exact position.
Race Chaos Timeline
Lap-by-lap breakdown of overtaking activity by type. Green = genuine on-track passes,
orange = pit-cycle position changes, yellow = moves under Safety Car / VSC,
red = DNF-induced gains. Yellow dashed lines mark neutralisation laps.
Overtake Classification
Breaking down how position changes occurred during the race.
Only data from re-ingested races (fetch_race_data.py v2) will show full classification.
93
Total position gains
On-track
7 (8%)
Pit cycle
86 (92%)
SC / VSC
0 (0%)
DNF-induced
0 (0%)
Adjusted Volatility
Three inversion curves for comparison.
Raw: unfiltered (dashed grey).
Pit-adjusted: removes drivers on in/out-laps so pit stops don't inflate inversions (green).
SC-neutralized: SC and VSC laps weighted at 25% to reduce artificial compression effects (yellow).
Raw
0.7075
Pit-adjusted
0.6085
SC-neutralized
0.7075
Driver Battle Index
The most intense wheel-to-wheel fights of the race, ranked by a combined intensity score
(position swaps + laps within 1 position). Higher = more sustained wheel-to-wheel racing.
LECvsPIA
PIA wins
2 position swaps49 laps within 1 posIntensity: 26.5
NORvsVER
VER wins
0 position swaps52 laps within 1 posIntensity: 26
ALOvsBEA
BEA wins
2 position swaps48 laps within 1 posIntensity: 26
NORvsPIATEAMMATE
NOR wins
0 position swaps51 laps within 1 posIntensity: 25.5
LECvsRUS
LEC wins
0 position swaps51 laps within 1 posIntensity: 25.5
HADvsHAM
HAM wins
1 position swap47 laps within 1 posIntensity: 24.5
ANTvsHAM
ANT wins
0 position swaps46 laps within 1 posIntensity: 23
ANTvsRUSTEAMMATE
RUS wins
2 position swaps41 laps within 1 posIntensity: 22.5
GASvsTSU
TSU wins
1 position swap43 laps within 1 posIntensity: 22.5
LAWvsSAI
SAI wins
1 position swap43 laps within 1 posIntensity: 22.5
Tyre Strategy Timeline
Lap-by-lap view of each driver's tyre compounds through the race. Solid = new tyres, faded with border = used tyres.
Hover over any stint bar to see compound, stint length, pit lap, duration, and net position change.
Quick select:20 / 20 drivers shown
Soft
Medium
Hard
Intermediate
Wet
Used tyres
1
10
20
30
40
50
53
VER
NOR
PIA
LEC
RUS
ANT
HAM
HAD
ALB
BEA
ALO
TSU
GAS
SAI
DOO
HUL
LAW
OCO
BOR
STR
Lap
Momentum Tracker
Rolling 5-lap position change per driver. Positive = charging forward, negative = falling back.
Shows who had the most momentum at each phase of the race. Defaults to top 10 finishers — use filters to explore all drivers.
Rolling 5-lap position change per driver. Positive = gaining, Negative = losing positions.
ALB-9
peak at L27
RUS-8
peak at L20
SAI-8
peak at L34
LAW-8
peak at L34
HAD-7
peak at L27
Quick select:10 / 20 drivers shown
Strategy Chaos Score
Measures how much strategy decisions shaped the race outcome.
Counts undercuts, overcuts, pit-cycle passes, and failed strategies.
230
Strategy Chaos Score
Undercuts
10
Pitted early, gained on exit
Overcuts
76
Stayed out, gained via track position
Pit-Cycle Passes
86
Positions gained through pit windows
Failed Strategies
20
Net position loss from pit strategy
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