2025 Season — Round 14

Hungarian Grand Prix

Budapest — 70 laps — 20 drivers

Total lap inversions
1497
start→finish: 21
Volatility score
1.0693
inversions / (grid × laps)
Winner
NOR
Lando Norris
Biggest mover
ANT
+5 positions (Kimi Antonelli)
Most overtaken
COL
-4 positions (Franco Colapinto)
DNFs
1
retirements
On-track overtakes
25
of 163 total moves
Race Summary

The 2025 Hungary GP produced 1497 lap inversions across 70 laps, with a volatility score of 1.0693. Kimi Antonelli (ANT) was the biggest mover, gaining 5 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) → 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
NOR
PIA
RUS
LEC
ALO
BOR
STR
LAW
VER
ANT
HAD
HAM
HUL
SAI
ALB
OCO
TSU
COL
GAS
BEA
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.
163
Total position gains
On-track
25 (15%)
Pit cycle
131 (80%)
SC / VSC
0 (0%)
DNF-induced
7 (4%)
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
1.0693
Pit-adjusted
0.9493
SC-neutralized
1.0693
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.
LAWvsSTR
STR wins
2 position swaps62 laps within 1 posIntensity: 33
ALOvsBOR
ALO wins
2 position swaps59 laps within 1 posIntensity: 31.5
LECvsPIA
PIA wins
3 position swaps53 laps within 1 posIntensity: 29.5
PIAvsRUS
PIA wins
2 position swaps49 laps within 1 posIntensity: 26.5
BORvsSTR
BOR wins
0 position swaps50 laps within 1 posIntensity: 25
ALBvsOCO
ALB wins
3 position swaps42 laps within 1 posIntensity: 24
BEAvsHAD
HAD wins
3 position swaps40 laps within 1 posIntensity: 23
HULvsSAI
HUL wins
5 position swaps36 laps within 1 posIntensity: 23
LAWvsVER
LAW wins
4 position swaps35 laps within 1 posIntensity: 21.5
COLvsTSU
TSU wins
3 position swaps36 laps within 1 posIntensity: 21
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
70
NOR
PIA
RUS
LEC
ALO
BOR
STR
LAW
VER
ANT
HAD
HAM
HUL
SAI
ALB
OCO
TSU
COL
GAS
BEA
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.
BEA-11
peak at L31
VER-9
peak at L18
HAD-9
peak at L34
HAM-9
peak at L46
HUL-9
peak at L42
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.
343.5
Strategy Chaos Score
Undercuts
12
Pitted early, gained on exit
Overcuts
119
Stayed out, gained via track position
Pit-Cycle Passes
131
Positions gained through pit windows
Failed Strategies
20
Net position loss from pit strategy
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Made by Kritagya Loomba