MotoGP Data dominance · tyre · race pace
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Stefan Bradl

Germany

36
Age
29.11.1989
2005
Debut

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+1.32%1.00–1.7539/5449
One-lap pace (qualifying)+1.60%1.29–1.8440/5440
Long run (practice)+1.36%0.95–1.8437/59100
Fast lap (practice)+1.41%1.06–1.9337/60125

Percentage above the fastest rider of each session (median over all their sessions): 0% would mean always being the fastest. The usual range goes from their good quartile to their bad one. Rank: among all riders with enough data.

Style

MetricValueUsual rangeRankn
Consistency (pace variation)0.33%0.26–0.4143/5442
Places gained grid → finish+2.00-1.00–4.0037/82131
Hides pace for qualifying+0.11-0.46–0.6917/4940
Hides pace for the race−0.12-1.12–0.4433/3823
Qualifying specialist (+) or diesel (−)−0.03—25/4340
Races better than qualifies−0.58-2.24–1.0548/74108
Top speed351.7 km/h—41/644701

Descriptive: how the rider has done so far, not a prediction. "Hides pace" is not very stable from one year to the next: always look at the usual range.

Race and qualifying

Races better than qualifies?

Positions finished better (+) or worse (−) than the starting position suggests, per season.

SeasonBeats the gridn
2024−2.516
2023−0.925
2022−2.246
2021−0.995
2020−0.9011
2019+0.794
2018+2.373
2016+0.2715
2015−3.1012
2014−0.7913
2013+0.4814
2012+0.8614

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Race degradation (fuel-corrected)+0.0340.015–0.07119/5442
Pace loss in the race+0.015-0.005–0.05020/5442

Seconds lost per lap over a run. Lower is better: better tyre management.

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2024 AUTMedium / Medium+2.20%+0.04823→22
2024 CATMedium / Medium+2.07%+0.12223→19
2024 GERHard / Medium+1.75%+0.04722→20
2024 RSMMedium / Soft+3.36%−0.05522→14
2024 SLDHard / Medium ★+1.85%+0.10623→22
2024 SPAMedium / Soft ★+1.64%−0.02419→16
2023 AMEHard / Soft+1.14%−0.00521→—
2023 INDMedium / Soft+1.51%+0.00019→15
2023 JPNWet-Medium / Wet-Medium+1.19%−0.37720→14
2023 NEDHard / Soft ★+1.74%+0.01019→13

★ = chose the minority compound. Degradation includes fuel and traffic: only compare within the same race.

Circuits, team and injuries

Strongest and weakest circuits

Over one lap · Strong at: SPA (+0.68)

In races · Strong at: SPA (+0.41) · Weak at: GER (−0.36), AUT (−0.39)

Affinity: how much better (+) or worse (−) the rider performs at this circuit versus their own average, in percentage points of gap. Only cases with enough signal are shown.

Against the teammate

SeasonTeamTeammateRaceGridPoints
2020Repsol Honda TeamAlex Marquez4–75–627–74
2016Aprilia Racing Team GresiniAlvaro Bautista7–109–963–82
2015Aprilia Racing Team GresiniAlvaro Bautista4–1315–217–31

Who finishes ahead in the races both started; a retirement loses to a classified finish. With fewer than 8 races together it is only indicative.