2025 Season — Round 18
Singapore Grand Prix
Marina Bay — 62 laps — 20 drivers
Total lap inversions
1737
start→finish: 32
Volatility score
1.4008
inversions / (grid × laps)
Winner
RUS
George Russell
Biggest mover
SAI
+8 positions (Carlos Sainz)
Most overtaken
HUL
-9 positions (Nico Hulkenberg)
DNFs
0
retirements
On-track overtakes
20
of 149 total moves
Race Summary
The 2025 Singapore GP produced 1737 lap inversions across 62 laps, with a volatility score of 1.4008. Carlos Sainz (SAI) was the biggest mover, gaining 8 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.
149
Total position gains
On-track
20 (13%)
Pit cycle
129 (87%)
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
1.4008
Pit-adjusted
1.2613
SC-neutralized
1.4008
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.
NORvsPIATEAMMATE
NOR wins
2 position swaps61 laps within 1 posIntensity: 32.5
NORvsVER
VER wins
2 position swaps54 laps within 1 posIntensity: 29
ANTvsLEC
ANT wins
3 position swaps52 laps within 1 posIntensity: 29
RUSvsVER
RUS wins
0 position swaps55 laps within 1 posIntensity: 27.5
ANTvsHAM
ANT wins
0 position swaps54 laps within 1 posIntensity: 27
LECvsPIA
PIA wins
0 position swaps44 laps within 1 posIntensity: 22
ALOvsHAD
ALO wins
3 position swaps35 laps within 1 posIntensity: 20.5
COLvsTSU
TSU wins
1 position swap36 laps within 1 posIntensity: 19
BEAvsHAD
BEA wins
1 position swap33 laps within 1 posIntensity: 17.5
ALOvsHAM
HAM wins
2 position swaps30 laps within 1 posIntensity: 17
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
15
30
45
60
62
RUS
VER
NOR
PIA
ANT
LEC
ALO
HAM
BEA
SAI
HAD
TSU
STR
ALB
LAW
COL
BOR
OCO
GAS
HUL
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.
STR-11
peak at L39
LAW-11
peak at L49
OCO-10
peak at L33
ALO-9
peak at L30
ALB-9
peak at L43
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.
340.5
Strategy Chaos Score
Undercuts
16
Pitted early, gained on exit
Overcuts
113
Stayed out, gained via track position
Pit-Cycle Passes
129
Positions gained through pit windows
Failed Strategies
20
Net position loss from pit strategy
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