2024 Season — Round 20

Mexico City Grand Prix

Mexico City — 71 laps — 20 drivers

Total lap inversions
1294
start→finish: 22
Volatility score
0.9113
inversions / (grid × laps)
Winner
SAI
Carlos Sainz
Biggest mover
PIA
+9 positions (Oscar Piastri)
Most overtaken
VER
-4 positions (Max Verstappen)
DNFs
3
retirements
On-track overtakes
29
of 116 total moves
Interventions
6 SC
laps under neutralisation
Race Summary

The 2024 Mexico GP produced 1294 lap inversions across 71 laps, with a volatility score of 0.9113. Oscar Piastri (PIA) was the biggest mover, gaining 9 positions. There were 3 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:17 / 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
58
59
60
61
62
63
64
65
66
67
68
69
70
71
SAI
NOR
LEC
HAM
RUS
VER
MAG
PIA
HUL
GAS
STR
COL
OCO
BOT
ZHO
LAW
PER
ALO
ALB
TSU
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.
116
Total position gains
On-track
29 (25%)
Pit cycle
86 (74%)
SC / VSC
0 (0%)
DNF-induced
1 (1%)
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
0.9113
Pit-adjusted
0.8169
SC-neutralized
0.8727
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.
HAMvsRUSTEAMMATE
HAM wins
2 position swaps66 laps within 1 posIntensity: 35
LECvsNOR
NOR wins
2 position swaps54 laps within 1 posIntensity: 29
LECvsSAITEAMMATE
SAI wins
0 position swaps53 laps within 1 posIntensity: 26.5
NORvsRUS
NOR wins
2 position swaps46 laps within 1 posIntensity: 25
HULvsMAGTEAMMATE
MAG wins
0 position swaps48 laps within 1 posIntensity: 24
GASvsHUL
HUL wins
0 position swaps45 laps within 1 posIntensity: 22.5
BOTvsCOL
COL wins
2 position swaps41 laps within 1 posIntensity: 22.5
LAWvsSTR
STR wins
1 position swap38 laps within 1 posIntensity: 20
PERvsZHO
ZHO wins
3 position swaps34 laps within 1 posIntensity: 20
MAGvsVER
VER wins
2 position swaps32 laps within 1 posIntensity: 18
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
71
SAI
NOR
LEC
HAM
RUS
VER
MAG
PIA
HUL
GAS
STR
COL
OCO
BOT
ZHO
LAW
PER
ALO
ALB
TSU
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.
0.9113
Actual Volatility
full race, all laps
0.9392
No-SC Volatility
65 racing laps only
+3.1%
Difference
more chaotic without SC
6
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.
VER-12
peak at L27
LAW-10
peak at L40
PIA-7
peak at L40
GAS-7
peak at L32
MAG-6
peak at L32
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.
229.5
Strategy Chaos Score
Undercuts
13
Pitted early, gained on exit
Overcuts
73
Stayed out, gained via track position
Pit-Cycle Passes
86
Positions gained through pit windows
Failed Strategies
16
Net position loss from pit strategy
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Made by Kritagya Loomba