2025 Season — Round 23

Qatar Grand Prix

Lusail — 57 laps — 20 drivers

Total lap inversions
1463
start→finish: 32
Volatility score
1.2833
inversions / (grid × laps)
Winner
VER
Max Verstappen
Biggest mover
BOR
+6 positions (Gabriel Bortoleto)
Most overtaken
HAD
-12 positions (Isack Hadjar)
DNFs
2
retirements
On-track overtakes
7
of 93 total moves
Interventions
4 SC
laps under neutralisation
Race Summary

The 2025 Qatar GP produced 1463 lap inversions across 57 laps, with a volatility score of 1.2833. Gabriel Bortoleto (BOR) was the biggest mover, gaining 6 positions. There were 2 retirements which influenced race 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:18 / 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.
Position:
P1 → P20
DNF / no data
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
VER
PIA
SAI
NOR
ANT
RUS
ALO
LEC
LAW
TSU
ALB
HAM
BOR
COL
OCO
GAS
STR
HAD
BEA
HUL
Lap
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
77 (83%)
SC / VSC
0 (0%)
DNF-induced
9 (10%)
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
1.2833
Pit-adjusted
1.1035
SC-neutralized
1.2162
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.
HADvsRUS
RUS wins
2 position swaps54 laps within 1 posIntensity: 29
ALBvsTSU
TSU wins
0 position swaps57 laps within 1 posIntensity: 28.5
ANTvsSAI
SAI wins
1 position swap52 laps within 1 posIntensity: 27
ALBvsHAM
ALB wins
1 position swap49 laps within 1 posIntensity: 25.5
LAWvsTSU
LAW wins
0 position swaps50 laps within 1 posIntensity: 25
COLvsOCO
COL wins
3 position swaps44 laps within 1 posIntensity: 25
BORvsHAM
HAM wins
0 position swaps49 laps within 1 posIntensity: 24.5
GASvsOCO
OCO wins
3 position swaps41 laps within 1 posIntensity: 23.5
NORvsVER
VER wins
4 position swaps36 laps within 1 posIntensity: 22
NORvsPIATEAMMATE
PIA wins
4 position swaps33 laps within 1 posIntensity: 20.5
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
57
VER
PIA
SAI
NOR
ANT
RUS
ALO
LEC
LAW
TSU
ALB
HAM
BOR
COL
OCO
GAS
STR
HAD
BEA
HUL
Lap
What If No Safety Car?
Simulates the race volatility if all SC and VSC laps were removed entirely. Orange line = what the chaos curve would look like with pure racing laps only. Faint yellow verticals mark the removed neutralisation laps.
1.2833
Actual Volatility
full race, all laps
1.2840
No-SC Volatility
53 racing laps only
+0.1%
Difference
more chaotic without SC
4
SC/VSC Laps
laps removed from calc
Faint yellow lines mark removed SC/VSC laps · Orange = what the race chaos would have looked like
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.
OCO-14
peak at L13
HAD-12
peak at L55
GAS-11
peak at L7
STR+9
peak at L35
BEA-8
peak at L33
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.
215.5
Strategy Chaos Score
Undercuts
27
Pitted early, gained on exit
Overcuts
50
Stayed out, gained via track position
Pit-Cycle Passes
77
Positions gained through pit windows
Failed Strategies
19
Net position loss from pit strategy
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Made by Kritagya Loomba