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DRIVING SIGNATURE · FULL METRICS

Gabriel Bortoleto

Ground effect era (2022–2025) · data from 2025 · Kick Sauber

GROUND EFFECT · 2025ACTIVE AERO · 2026

LAPS USED

573

QUALIFYING

20

RACES

21

AXES SCORED

5/6

CONFIDENCE

0.63

How this is calculated — the era, the field, the comparison groups and every threshold.

OVERVIEW

Each axis is a 0–100 rank among every driver-era in the dataset, built from differences to the same-session field. The 90% range is where nine in ten resampled scores land. Rank is within the ground effect field.

STEERINGSMOOTHNESSPENDINGENTRY AGGRESSIONTYRE MANAGEMENTTHROTTLE APPLICATIONBRAKINGCONSISTENCY

DASHED: ERA AVG — The average of every driver scored in the same regulation era. It sits close to 50 on every axis: a typical driver.

AXISSCORE90% RANGERANKERA AVGALL-TIMECHAMPIONSTEAMMATES
STEERINGPENDING——————
ENTRY127–2128/2951509235
TYRE MGMT50–5329/3047505123
THROTTLE5538–7512/2949507648
BRAKING2316–4224/2951507848
CONSISTENCY2510–6523/3149508119

AXIS BY AXIS

What each axis measures, where the driver sits among this era's drivers, the raw differences behind the score, and how it moved from weekend to weekend.

ENTRY AGGRESSION

QUALIFYING PUSH LAPS · CORNER BY CORNER

Speed as the driver comes off the brake, and the minimum speed through the corner.

12/ 100
RANK 28 OF 29 · GROUND EFFECT FIELD
90% RANGE 7–21

Higher means: Carries more speed off the brake and through the slowest point.

0255075100Alexander Albon (Williams): 29Fernando Alonso (Aston Martin): 41Kimi Antonelli (Mercedes): 78Oliver Bearman (Haas F1 Team): 51Valtteri Bottas (Alfa Romeo): 31Franco Colapinto (Alpine): 38Pierre Gasly (Alpine): 82Isack Hadjar (Racing Bulls): 71Lewis Hamilton (Mercedes): 55Nico Hulkenberg (Haas F1 Team): 35Nicholas Latifi (Williams): 3Liam Lawson (Racing Bulls): 50Charles Leclerc (Ferrari): 83Kevin Magnussen (Haas F1 Team): 28Mick Schumacher (Haas F1 Team): 64Lando Norris (McLaren): 97Esteban Ocon (Alpine): 34Sergio Perez (Red Bull Racing): 70Oscar Piastri (McLaren): 96Daniel Ricciardo (McLaren): 69George Russell (Mercedes): 76Carlos Sainz (Ferrari): 54Logan Sargeant (Williams): 20Lance Stroll (Aston Martin): 19Yuki Tsunoda (AlphaTauri): 48Max Verstappen (Red Bull Racing): 80Sebastian Vettel (Aston Martin): 43Guanyu Zhou (Alfa Romeo): 23Gabriel Bortoleto: 12

● DRIVER · ○ TEAMMATE · ● REST OF ERA · ┊ ERA AVG · SHADED: 90% RANGE

ON AVERAGE, AGAINST THE SAME-SESSION FIELD

4.1 km/h less speed as the brake comes off.

2.4 km/h lower minimum corner speed.

WEEKEND BY WEEKEND · ABOVE THE LINE = BETTER THAN THAT SESSION'S FIELD

2025
2025 Melbourne: -0.392025 Shanghai: +0.032025 Suzuka: -1.032025 Sakhir: -1.062025 Jeddah: -1.802025 Miami: -0.462025 Imola: -0.522025 Monte Carlo: -0.692025 Catalunya: -1.042025 Montreal: -0.852025 Spielberg: +0.232025 Silverstone: -0.472025 Spa-Francorchamps: -0.842025 Hungaroring: -0.512025 Zandvoort: -0.552025 Monza: -0.972025 Baku: no usable session2025 Singapore: no usable session2025 Austin: -1.232025 Mexico City: -0.502025 Lusail: -0.222025 Yas Marina Circuit: -0.22

20 SESSIONS · 350 LAP-CORNERS · MINIMUM 5 QUALIFYING SESSIONS AND 150 LAP-CORNERS

TYRE MANAGEMENT

CLEAN RACE LAPS · PER STINT

How fast lap times drop off as the tyres age, corrected for fuel load.

5/ 100
RANK 29 OF 30 · GROUND EFFECT FIELD
90% RANGE 0–53

Higher means: Loses less time per lap of tyre age than the field on the same compound.

0255075100Alexander Albon (Williams): 65Fernando Alonso (Aston Martin): 96Kimi Antonelli (Mercedes): 85Oliver Bearman (Haas F1 Team): 90Valtteri Bottas (Alfa Romeo): 14Franco Colapinto (Alpine): 21Nyck De Vries (AlphaTauri): 12Pierre Gasly (Alpine): 27Isack Hadjar (Racing Bulls): 51Lewis Hamilton (Mercedes): 55Nico Hulkenberg (Haas F1 Team): 23Nicholas Latifi (Williams): 7Liam Lawson (Racing Bulls): 76Charles Leclerc (Ferrari): 41Kevin Magnussen (Haas F1 Team): 19Mick Schumacher (Haas F1 Team): 32Lando Norris (McLaren): 57Esteban Ocon (Alpine): 66Sergio Perez (Red Bull Racing): 13Oscar Piastri (McLaren): 77Daniel Ricciardo (McLaren): 73George Russell (Mercedes): 71Carlos Sainz (Ferrari): 68Logan Sargeant (Williams): 1Lance Stroll (Aston Martin): 30Yuki Tsunoda (AlphaTauri): 45Max Verstappen (Red Bull Racing): 48Sebastian Vettel (Aston Martin): 97Guanyu Zhou (Alfa Romeo): 31Gabriel Bortoleto: 5

● DRIVER · ○ TEAMMATE · ● REST OF ERA · ┊ ERA AVG · SHADED: 90% RANGE

ON AVERAGE, AGAINST THE SAME-SESSION FIELD

Loses 0.053 s per lap of tyre age after fuel correction, 0.023 s/lap more than the race median.

WEEKEND BY WEEKEND · ABOVE THE LINE = BETTER THAN THAT SESSION'S FIELD

2025
2025 Melbourne: no usable session2025 Shanghai: -2.822025 Suzuka: -0.092025 Sakhir: -0.232025 Jeddah: -1.272025 Miami: no usable session2025 Imola: -0.142025 Monte Carlo: -0.672025 Catalunya: -0.422025 Montreal: -0.172025 Spielberg: +1.352025 Silverstone: no usable session2025 Spa-Francorchamps: -0.672025 Hungaroring: +0.192025 Zandvoort: no usable session2025 Monza: +0.502025 Baku: -0.182025 Singapore: -0.752025 Austin: -1.812025 Mexico City: -0.212025 Lusail: -0.672025 Yas Marina Circuit: -2.04

18 SESSIONS · 28 STINTS · MINIMUM 5 RACES AND 8 STINTS

THROTTLE APPLICATION

QUALIFYING PUSH LAPS · CORNER BY CORNER

Distance from the slowest point of the corner to full throttle, and the number of throttle lifts in between.

55/ 100
RANK 12 OF 29 · GROUND EFFECT FIELD
90% RANGE 38–75

Higher means: Reaches full throttle sooner after the apex, with fewer lifts.

0255075100Alexander Albon (Williams): 3Fernando Alonso (Aston Martin): 72Kimi Antonelli (Mercedes): 65Oliver Bearman (Haas F1 Team): 28Valtteri Bottas (Alfa Romeo): 41Franco Colapinto (Alpine): 8Pierre Gasly (Alpine): 80Isack Hadjar (Racing Bulls): 82Lewis Hamilton (Mercedes): 38Nico Hulkenberg (Haas F1 Team): 48Nicholas Latifi (Williams): 6Liam Lawson (Racing Bulls): 77Charles Leclerc (Ferrari): 40Kevin Magnussen (Haas F1 Team): 44Mick Schumacher (Haas F1 Team): 23Lando Norris (McLaren): 52Esteban Ocon (Alpine): 15Sergio Perez (Red Bull Racing): 99Oscar Piastri (McLaren): 31Daniel Ricciardo (McLaren): 59George Russell (Mercedes): 81Carlos Sainz (Ferrari): 50Logan Sargeant (Williams): 10Lance Stroll (Aston Martin): 86Yuki Tsunoda (AlphaTauri): 71Max Verstappen (Red Bull Racing): 98Sebastian Vettel (Aston Martin): 51Guanyu Zhou (Alfa Romeo): 14Gabriel Bortoleto: 55

● DRIVER · ○ TEAMMATE · ● REST OF ERA · ┊ ERA AVG · SHADED: 90% RANGE

ON AVERAGE, AGAINST THE SAME-SESSION FIELD

Reaches full throttle 1.3 m closer to the apex than the field median.

WEEKEND BY WEEKEND · ABOVE THE LINE = BETTER THAN THAT SESSION'S FIELD

2025
2025 Melbourne: +0.192025 Shanghai: +0.132025 Suzuka: -0.242025 Sakhir: -0.412025 Jeddah: -0.112025 Miami: +0.142025 Imola: +0.022025 Monte Carlo: +0.032025 Catalunya: +0.172025 Montreal: -0.282025 Spielberg: +0.102025 Silverstone: -0.342025 Spa-Francorchamps: -0.102025 Hungaroring: -0.162025 Zandvoort: -0.122025 Monza: -0.112025 Baku: no usable session2025 Singapore: no usable session2025 Austin: +0.082025 Mexico City: +0.182025 Lusail: +0.152025 Yas Marina Circuit: +0.58

20 SESSIONS · 340 LAP-CORNERS · MINIMUM 5 QUALIFYING SESSIONS AND 150 LAP-CORNERS

BRAKING

QUALIFYING PUSH LAPS · CORNER BY CORNER

Where the driver starts braking for each corner, and how long the braking zone lasts.

23/ 100
RANK 24 OF 29 · GROUND EFFECT FIELD
90% RANGE 16–42

Higher means: Brakes later and over a shorter distance than the field.

0255075100Alexander Albon (Williams): 22Fernando Alonso (Aston Martin): 76Kimi Antonelli (Mercedes): 62Oliver Bearman (Haas F1 Team): 41Valtteri Bottas (Alfa Romeo): 36Franco Colapinto (Alpine): 18Pierre Gasly (Alpine): 64Isack Hadjar (Racing Bulls): 82Lewis Hamilton (Mercedes): 77Nico Hulkenberg (Haas F1 Team): 48Nicholas Latifi (Williams): 3Liam Lawson (Racing Bulls): 51Charles Leclerc (Ferrari): 67Kevin Magnussen (Haas F1 Team): 34Mick Schumacher (Haas F1 Team): 19Lando Norris (McLaren): 80Esteban Ocon (Alpine): 20Sergio Perez (Red Bull Racing): 45Oscar Piastri (McLaren): 83Daniel Ricciardo (McLaren): 71George Russell (Mercedes): 72Carlos Sainz (Ferrari): 35Logan Sargeant (Williams): 28Lance Stroll (Aston Martin): 65Yuki Tsunoda (AlphaTauri): 87Max Verstappen (Red Bull Racing): 56Sebastian Vettel (Aston Martin): 50Guanyu Zhou (Alfa Romeo): 54Gabriel Bortoleto: 23

● DRIVER · ○ TEAMMATE · ● REST OF ERA · ┊ ERA AVG · SHADED: 90% RANGE

ON AVERAGE, AGAINST THE SAME-SESSION FIELD

Starts braking 0.8 m earlier than the field median.

WEEKEND BY WEEKEND · ABOVE THE LINE = BETTER THAN THAT SESSION'S FIELD

2025
2025 Melbourne: -0.072025 Shanghai: -0.152025 Suzuka: -0.032025 Sakhir: -0.732025 Jeddah: -0.422025 Miami: +0.052025 Imola: +0.092025 Monte Carlo: -0.562025 Catalunya: -0.242025 Montreal: -0.572025 Spielberg: -0.052025 Silverstone: +0.092025 Spa-Francorchamps: -0.282025 Hungaroring: -0.122025 Zandvoort: -0.202025 Monza: -0.642025 Baku: no usable session2025 Singapore: no usable session2025 Austin: -0.772025 Mexico City: -0.192025 Lusail: -0.092025 Yas Marina Circuit: -0.40

20 SESSIONS · 326 LAP-CORNERS · MINIMUM 5 QUALIFYING SESSIONS AND 150 LAP-CORNERS

CONSISTENCY

CLEAN RACE LAPS · PER STINT

How much clean lap times vary within a stint once the tyre-wear trend is removed.

25/ 100
RANK 23 OF 31 · GROUND EFFECT FIELD
90% RANGE 10–65

Higher means: Smaller lap-to-lap variation than the field in the same race.

0255075100Alexander Albon (Williams): 62Fernando Alonso (Aston Martin): 38Kimi Antonelli (Mercedes): 81Oliver Bearman (Haas F1 Team): 36Valtteri Bottas (Alfa Romeo): 21Franco Colapinto (Alpine): 39Nyck De Vries (AlphaTauri): 33Jack Doohan (Alpine): 9Pierre Gasly (Alpine): 79Isack Hadjar (Racing Bulls): 55Lewis Hamilton (Mercedes): 46Nico Hulkenberg (Haas F1 Team): 19Nicholas Latifi (Williams): 5Liam Lawson (Racing Bulls): 70Charles Leclerc (Ferrari): 72Kevin Magnussen (Haas F1 Team): 11Mick Schumacher (Haas F1 Team): 13Lando Norris (McLaren): 75Esteban Ocon (Alpine): 83Sergio Perez (Red Bull Racing): 52Oscar Piastri (McLaren): 56Daniel Ricciardo (McLaren): 31George Russell (Mercedes): 93Carlos Sainz (Ferrari): 89Logan Sargeant (Williams): 16Lance Stroll (Aston Martin): 68Yuki Tsunoda (AlphaTauri): 42Max Verstappen (Red Bull Racing): 97Sebastian Vettel (Aston Martin): 78Guanyu Zhou (Alfa Romeo): 20Gabriel Bortoleto: 25

● DRIVER · ○ TEAMMATE · ● REST OF ERA · ┊ ERA AVG · SHADED: 90% RANGE

ON AVERAGE, AGAINST THE SAME-SESSION FIELD

Lap times scatter 0.354 s around the stint trend, 0.065 s looser than the field median.

WEEKEND BY WEEKEND · ABOVE THE LINE = BETTER THAN THAT SESSION'S FIELD

2025
2025 Melbourne: no usable session2025 Shanghai: -1.282025 Suzuka: -2.802025 Sakhir: -0.142025 Jeddah: -3.002025 Miami: no usable session2025 Imola: +0.092025 Monte Carlo: +0.122025 Catalunya: -0.992025 Montreal: -0.892025 Spielberg: +0.292025 Silverstone: no usable session2025 Spa-Francorchamps: +1.112025 Hungaroring: +0.482025 Zandvoort: no usable session2025 Monza: -0.982025 Baku: -0.612025 Singapore: -0.202025 Austin: -0.322025 Mexico City: -0.092025 Lusail: -0.382025 Yas Marina Circuit: -0.42

18 SESSIONS · 29 STINTS · MINIMUM 5 RACES AND 8 STINTS

STEERING SMOOTHNESS

NEEDS ONBOARD VIDEO

How smoothly the driver steers through each corner.

PENDING

Not measured yet. No public feed carries steering angle; it will come from onboard video.

TEAMMATES

Same car, same sessions. Each cell is the average difference over the sessions they shared, in field-spread units: +0.30 means 0.3 of a typical field spread better on that axis. Qualifying H2H is the share of shared qualifying sessions where Bortoleto's best lap was faster.

TEAMMATESHAREDQUALI H2HENTRYTYRE MGMTTHROTTLEBRAKINGCONSISTENCY
Nico Hulkenberg38
20 Q · 18 R
55%-0.21-0.46+0.08-0.25+0.60

SESSION LOG

Every weekend in this era. Values are the difference from that session's field in field-spread units, green better and red worse. A dash means the session was skipped (wet, or no data) or the driver had no usable laps.

WEEKENDCIRCUITTEAMQ LAPSBRAKINGENTRYTHROTTLERACE LAPSCONSISTENCYTYRE MGMT
2025 R01MelbourneKick Sauber2-0.07-0.39+0.190——
2025 R02ShanghaiKick Sauber3-0.15+0.03+0.1347-1.28-2.82
2025 R03SuzukaKick Sauber3-0.03-1.03-0.2416-2.80-0.09
2025 R04SakhirKick Sauber2-0.73-1.06-0.4115-0.14-0.23
2025 R05JeddahKick Sauber2-0.42-1.80-0.1137-3.00-1.27
2025 R06MiamiKick Sauber3+0.05-0.46+0.140——
2025 R07ImolaKick Sauber3+0.09-0.52+0.0233+0.09-0.14
2025 R08Monte CarloKick Sauber2-0.56-0.69+0.0318+0.12-0.67
2025 R09CatalunyaKick Sauber3-0.24-1.04+0.1732-0.99-0.42
2025 R10MontrealKick Sauber3-0.57-0.85-0.2834-0.89-0.17
2025 R11SpielbergKick Sauber3-0.05+0.23+0.1039+0.29+1.35
2025 R12SilverstoneKick Sauber1+0.09-0.47-0.34———
2025 R13Spa-FrancorchampsKick Sauber3-0.28-0.84-0.1020+1.11-0.67
2025 R14HungaroringKick Sauber3-0.12-0.51-0.1650+0.48+0.19
2025 R15ZandvoortKick Sauber3-0.20-0.55-0.120——
2025 R16MonzaKick Sauber3-0.64-0.97-0.1136-0.98+0.50
2025 R17BakuKick Sauber————34-0.61-0.18
2025 R18SingaporeKick Sauber————29-0.20-0.75
2025 R19AustinKick Sauber2-0.77-1.23+0.0812-0.32-1.81
2025 R20Mexico CityKick Sauber2-0.19-0.50+0.1830-0.09-0.21
2025 R23LusailKick Sauber3-0.09-0.22+0.1524-0.38-0.67
2025 R24Yas Marina CircuitKick Sauber3-0.40-0.22+0.5815-0.42-2.04

HOW THIS IS CALCULATED

The definitions behind every number on this page. The full specification lives with the pipeline code (backend/pipeline/signature/SPEC.md).

REGULATION ERAS

An era is a period under one set of technical rules. When the rules change, every car brakes, turns and wears its tyres differently, so a driver's style relative to the field can shift too. Signatures are therefore computed separately for each era, and the driver page shows the most recent era with at least one scored axis. These eras are defined by the car rules, separate from the storytelling eras elsewhere on the site.

ERAWHAT DEFINES ITDATA IN THIS DATASET
LATE HYBRID
2018–2021
1.6-litre V6 turbo hybrid power units, used since 2014, in the wider, higher-downforce cars on wider tyres introduced in 2017.
The era starts in 2018, the first season of the official timing archive, although its car rules date from 2017.
2018–2021
30 drivers scored
GROUND EFFECT
2022–2025
THIS PAGE
Most downforce comes from two Venturi tunnels under the floor, with simplified wings and 18-inch low-profile tyres, so that cars can follow each other more closely.
2022–2025
31 drivers scored
ACTIVE AERO
2026 onwards
Front and rear wings switch between a corner mode and a low-drag straight mode, replacing DRS. Cars are shorter, narrower and lighter (768 kg), the floor tunnels are gone, and power is split roughly half and half between combustion and electric, with the MGU-H removed and fully sustainable fuel.
Energy recovery is a bigger part of each lap: drivers lift off before braking to recharge and cars harvest at full throttle at the end of straights. Throttle and braking traces reflect energy management as well as driving style.
2026
22 drivers scored

THE FIELD

Every measurement is a difference from the other cars in the same session. Comparing within a session cancels out the track, the weather, the tyre generation and the overall speed of that year's cars, which is what makes different weekends comparable. For each corner, or each race, the driver's value has the field median subtracted and is divided by the field's spread (a robust z-score, capped at ±3). A value of +1 means one typical field spread better than the median driver.

FROM LAPS TO A SCORE

  1. Pick the laps. Qualifying: up to 3 push laps per driver, within 1% of their own best and 107% of the fastest lap, on dry tyres, not deleted for track limits and not run under red or yellow flags. Race: clean laps only, meaning not lap 1, no pit laps, no safety car, virtual safety car, red or yellow flag, dry tyres, at least 1.5 s behind the car ahead, and within 107% of the driver's stint median.
  2. Measure.Corners are the slowest points of the session's fastest lap (dips of at least 25km/h). Every lap is mapped onto that lap's line, so all drivers' brake points and apexes share one distance scale. Full throttle means 98% pedal or more, and a lift is a drop of 10points. In the race, each stint's lap times are corrected for fuel (0.055 s per lap of fuel still on board) and fitted against tyre age: the slope is degradation (at least 8 clean laps), and the scatter around the line is consistency (at least 6).
  3. Compare with the field. Each corner needs at least 8 field laps; tyre degradation is compared on the same compound when at least 4 stints used it.
  4. Combine over the era. A weighted average of the session values. An axis is only scored with at least 5 qualifying sessions and 150 lap-corners, or 5 races and 8 stints; otherwise it stays empty rather than guessed.
  5. Rank.The 0–100 score is the driver-era's percentile among every driver-era in the dataset, so 50 is typical.
  6. Confidence.The driver's sessions are resampled 400 times and re-ranked. The 90% range runs from the 5th to the 95th percentile of those ranks, and confidence is 1 minus the average width of the ranges.

COMPARISON GROUPS

ERA AVG

The average of every driver scored in the same regulation era. It sits close to 50 on every axis: a typical driver.

ALL-TIME

The average of every driver-era in the dataset. Scores are ranks among those same driver-eras, so it sits at 50 on every axis by construction.

CHAMPIONS

World champions in the eras they won their titles, from the final standings of completed seasons. In the dataset: Lewis Hamilton (2018, 2019, 2020), Max Verstappen (2021, 2022, 2023, 2024), Lando Norris (2025).

TEAMMATES

The driver's teammates in this era, weighted by sessions shared. Same car, so this is the fairest comparison.

AXES

AXISMEASURESHIGHER MEANSDATA
STEERING SMOOTHNESSHow smoothly the driver steers through each corner.Not measured yet. No public feed carries steering angle; it will come from onboard video.NEEDS ONBOARD VIDEO
ENTRY AGGRESSIONSpeed as the driver comes off the brake, and the minimum speed through the corner.Carries more speed off the brake and through the slowest point.QUALIFYING PUSH LAPS · CORNER BY CORNER
TYRE MANAGEMENTHow fast lap times drop off as the tyres age, corrected for fuel load.Loses less time per lap of tyre age than the field on the same compound.CLEAN RACE LAPS · PER STINT
THROTTLE APPLICATIONDistance from the slowest point of the corner to full throttle, and the number of throttle lifts in between.Reaches full throttle sooner after the apex, with fewer lifts.QUALIFYING PUSH LAPS · CORNER BY CORNER
BRAKINGWhere the driver starts braking for each corner, and how long the braking zone lasts.Brakes later and over a shorter distance than the field.QUALIFYING PUSH LAPS · CORNER BY CORNER
CONSISTENCYHow much clean lap times vary within a stint once the tyre-wear trend is removed.Smaller lap-to-lap variation than the field in the same race.CLEAN RACE LAPS · PER STINT

DATA AND COVERAGE

Source: Official F1 live-timing feed, read through TracingInsights' public FastF1 extraction (2018–2022) and the OpenF1 historical API (2023–2026). The feed gives car data (speed, throttle, brake on/off, gear) about 3.7 times a second, car positions, laps, tyre stints, gaps and race-control messages. It does not carry steering angle or brake pressure. 180 qualifying sessions and 186 races are scored.

SEASONWEEKENDSQUALIFYINGRACESNOT SCORED
20182120/2120/21
Australian qualifying: no race-control messages in the source, so flags cannot be applied
Australian race: no race-control messages in the source, so flags cannot be applied
20192121/2121/21—
20201715/1717/17
Styrian qualifying: wet
Turkish qualifying: wet
20212220/2222/22
Belgian qualifying: wet
Russian qualifying: mixed conditions, 6 drivers on dry tyres
20222220/2222/22
Canadian qualifying: wet
British qualifying: wet
20232221/2222/22
Dutch qualifying: mixed conditions, 9 drivers on dry tyres
20242422/2424/24
Belgian qualifying: wet
São Paulo qualifying: wet
20252422/2424/24
Azerbaijan qualifying: no lap data in the public feed
Las Vegas qualifying: wet
202619 (+4 still to run)19/1919/19—

KNOWN LIMITATIONS

  • The field includes faster and slower cars, so a driver in a quick car scores higher on car-sensitive measures such as minimum corner speed. The teammate comparison is where the car is held constant.
  • The braking point is not adjusted for approach speed: a driver who exits the previous corner faster arrives quicker and has to brake earlier. Braking describes style more than pace.
  • Tyre management cannot tell tyre wear apart from a driver deliberately controlling pace, so its ranges are wide.
  • From 2026, throttle and braking traces also reflect energy recovery (lifting before braking, harvesting at full throttle), not only driving style.
  • Steering smoothness needs steering angle, which no public feed carries. It is never estimated and will come from onboard video, along with seasons before 2018.

PIPELINE TIMING-0.1.0 · GENERATED 2026-11-02 · OFFICIAL F1 LIVE-TIMING FEED, READ THROUGH TRACINGINSIGHTS' PUBLIC FASTF1 EXTRACTION (2018–2022) AND THE OPENF1 HISTORICAL API (2023–2026)