2024 Season — Round 6

Miami Grand Prix

Miami — 57 laps — 20 drivers

Total lap inversions
1709
start→finish: 34
Volatility score
1.4991
inversions / (grid × laps)
Winner
NOR
Lando Norris
Biggest mover
ALO
+6 positions (Fernando Alonso)
Most overtaken
PIA
-7 positions (Oscar Piastri)
DNFs
1
retirements
On-track overtakes
22
of 108 total moves
Interventions
5 SC / 2 VSC
laps under neutralisation
Race Summary

The 2024 Miami GP produced 1709 lap inversions across 57 laps, with a volatility score of 1.4991. Fernando Alonso (ALO) was the biggest mover, gaining 6 positions. There were 1 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:19 / 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) โ†’ yellow (mid-field) โ†’ 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 โ†’ 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
NOR
VER
LEC
PER
SAI
HAM
TSU
RUS
ALO
OCO
HUL
GAS
PIA
ZHO
RIC
BOT
STR
ALB
MAG
SAR
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.
108
Total position gains
On-track
22 (20%)
Pit cycle
81 (75%)
SC / VSC
0 (0%)
DNF-induced
5 (5%)
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
1.4991
Pit-adjusted
1.3184
SC-neutralized
1.3452
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.
RUSvsTSU
TSU wins
2 position swaps48 laps within 1 posIntensity: 26
ALOvsOCO
ALO wins
2 position swaps44 laps within 1 posIntensity: 24
BOTvsMAG
BOT wins
3 position swaps40 laps within 1 posIntensity: 23
PERvsSAI
SAI wins
0 position swaps45 laps within 1 posIntensity: 22.5
LECvsSAITEAMMATE
LEC wins
2 position swaps35 laps within 1 posIntensity: 19.5
HAMvsTSU
HAM wins
2 position swaps34 laps within 1 posIntensity: 19
LECvsVER
VER wins
0 position swaps37 laps within 1 posIntensity: 18.5
NORvsVER
NOR wins
1 position swap33 laps within 1 posIntensity: 17.5
ALOvsGAS
ALO wins
2 position swaps30 laps within 1 posIntensity: 17
GASvsHUL
HUL 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
10
20
30
40
50
57
NOR
VER
LEC
PER
SAI
HAM
TSU
RUS
ALO
OCO
HUL
GAS
PIA
ZHO
RIC
BOT
STR
ALB
MAG
SAR
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.
1.4991
Actual Volatility
full race, all laps
1.4750
No-SC Volatility
50 racing laps only
-1.6%
Difference
less chaotic without SC
7
SC/VSC Laps
laps removed from calc
Faint yellow lines mark removed SC/VSC laps ยท 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 โ€” use filters to explore all drivers.
Rolling 5-lap position change per driver. Positive = gaining, Negative = losing positions.
PIA-15
peak at L41
HUL-8
peak at L13
ZHO-6
peak at L32
RIC+6
peak at L13
STR-6
peak at L12
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.
218
Strategy Chaos Score
Undercuts
13
Pitted early, gained on exit
Overcuts
68
Stayed out, gained via track position
Pit-Cycle Passes
81
Positions gained through pit windows
Failed Strategies
18
Net position loss from pit strategy
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Made by Kritagya Loomba