MotoGP Data dominance · tyre · race pace
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Michele Pirro

Italy

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+1.60%1.21–1.9546/5428
One-lap pace (qualifying)+1.63%1.09–2.1641/5423
Long run (practice)+1.73%1.27–2.7443/5927
Fast lap (practice)+1.26%0.82–1.8633/6068

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)0.32%0.24–0.3737/5421
Places gained grid → finish+2.00-1.00–5.0037/8273
Hides pace for qualifying+0.17-0.46–0.5412/4921
Qualifying specialist (+) or diesel (−)+0.23—6/4323
Races better than qualifies−0.48-2.61–1.1838/7459
Top speed361.2 km/h—25/642126

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
2026−3.002
2025−1.182
2024−3.681
2023−0.524
2022−3.572
2021+1.323
2020−1.932
2019+2.901
2018+1.042
2017−0.983
2016+0.338
2015−2.032
2014−0.905
2013+0.4010
2012−0.5912

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Race degradation (fuel-corrected)+0.0600.027–0.07752/5421
Pace loss in the race+0.0380.009–0.05651/5421

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2026 ITAMedium / Medium+1.61%+0.05621→19
2026 THASoft / Medium+2.49%+0.08022→19
2025 AUSHard / Medium+2.11%+0.01122→18
2025 MALMedium / Soft+1.69%+0.11822→17
2024 SLDHard / Medium ★+1.39%+0.08222→20
2023 INDMedium / Soft+2.09%+0.05120→16
2023 ITAHard / Soft ★+1.13%+0.03816→16
2023 JPNWet-Medium / Wet-Medium+3.08%−0.29621→16
2023 RSMHard / Medium+0.94%−0.17714→—
2022 CATMedium / Medium+1.72%+0.04222→16

★ = 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: RSM (+0.62)

In races · Strong at: ITA (+0.52), RSM (+0.37)

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
2012San Carlo Honda GresiniAlvaro Bautista1–171–1743–178

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.