MotoGP Data dominance · tyre · race pace
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Danilo Petrucci

Italy

54
Age
18.11.1971

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.73%0.47–1.0722/5461
One-lap pace (qualifying)+1.00%0.60–1.3027/5464
Long run (practice)+1.02%0.62–1.4525/59160
Fast lap (practice)+0.95%0.54–1.3026/60226

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)0.30%0.26–0.3730/5460
Places gained grid → finish+1.00-1.00–4.0051/82170
Hides pace for qualifying−0.19-0.78–0.3740/4968
Hides pace for the race+0.16-0.71–0.7216/3833
Qualifying specialist (+) or diesel (−)−0.09—31/4361
Races better than qualifies−0.23-2.25–2.1830/74137
Top speed355.8 km/h—33/647413

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
2023+3.401
2022−2.401
2021+0.1513
2020−0.7713
2019+1.0617
2018−0.5316
2017−0.2213
2016−0.2612
2015+0.2316
2014+0.878
2013−1.8715
2012−0.8512

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Degradation in practice · Medium+0.5740.574–0.89431/343
Race degradation (fuel-corrected)+0.0290.009–0.06215/5460
Pace loss in the race+0.010-0.010–0.03916/5460

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2023 FRAMedium / Soft+1.05%+0.00919→11
2022 THAWet-Medium / Wet-Medium+1.50%−0.00624→20
2021 AMEHard / Soft+1.62%+0.07021→18
2021 ARAHard / Soft+0.88%+0.03416→15
2021 AUTHard / Medium+1.16%+0.04319→12
2021 CATHard / Hard+0.74%—18→—
2021 DOHMedium / Soft+0.59%+0.03917→19
2021 EMIMedium / Soft—%—9→—
2021 FRAWet-Medium / Wet-Medium ★+10.76%+0.04117→5
2021 GBRMedium / Medium+0.44%+0.01616→10

★ = 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 · Weak at: ITA (−1.52), CZE (−2.29)

In races · Strong at: CAT (+0.45), ITA (+0.22) · Weak at: RSM (−0.28), AME (−0.65)

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
2021Tech 3 KTM Factory RacingIker Lecuona7–88–1037–39
2020Ducati TeamAndrea Dovizioso3–117–778–135
2019Mission Winnow DucatiAndrea Dovizioso4–158–11176–269
2018Alma Pramac RacingJack Miller12–514–5144–91
2017OCTO Pramac RacingScott Redding11–613–4124–64
2016OCTO Pramac YakhnichScott Redding10–410–575–74
2015Pramac RacingYonny Hernandez13–510–8113–56
2013Came IodaRacing ProjectLukas Pesek15–217–126–0

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.