MotoGP Data dominance · tyre · race pace
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Fabio Quartararo

France

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.63%0.29–0.9216/54198
One-lap pace (qualifying)+0.46%0.16–0.855/54134
Long run (practice)+0.34%0.02–0.703/59351
Fast lap (practice)+0.44%0.15–0.922/60380

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)0.26%0.20–0.3511/54167
Places gained grid → finish−1.00-5.00–2.0078/82148
Hides pace for qualifying+0.11-0.47–0.6915/49135
Hides pace for the race−0.53-1.03–0.0038/3891
Qualifying specialist (+) or diesel (−)+0.30—2/43134
Races better than qualifies−0.89-2.88–1.8356/74129
Top speed362.4 km/h—17/6415437

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

Racecraft by phase

+0.07
Start
−1.32
First laps
−1.04
End of race
−2.36
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 46 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026−2.9613
2025−3.1818
2024−0.5118
2023+1.4819
2022+0.7317
2021+0.3917
2020−3.5712
2019−0.9215

Q2 risk

7%
Q2 with best lap cancelled
1%
Disastrous Q2

Over 83 Q2 sessions since 2021. Disaster = best lap more than 1% slower than the others' median.

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Degradation in practice · Medium+0.2750.104–0.56113/3431
Degradation in practice · Soft+0.2220.081–0.2993/139
Degradation in practice · Wet-Soft+0.3790.379–0.5403/83
Race degradation (fuel-corrected)+0.0430.017–0.07535/54167
Pace loss in the race+0.024-0.003–0.05534/54167

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2026 ARAMedium / Medium+0.92%−0.01617→18
2026 AUTMedium / Medium+1.31%+0.1189→17
2026 BRAHard / Soft ★+1.28%−0.0194→16
2026 CATMedium / Soft+0.59%+0.0477→5
2026 CZEMedium / Medium—%—13→—
2026 FRASoft / Soft+0.45%+0.0155→6
2026 GBRHard / Medium+1.03%+0.04613→12
2026 GERHard / Medium+1.16%+0.0446→7
2026 HUNMedium / Medium ★+1.24%−0.01215→—
2026 ITAMedium / Medium+1.41%+0.08617→18

★ = 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 (+0.44), CAT (+0.34) · Weak at: ARA (−0.39), AUS (−0.97), CZE (−1.31)

In races · Strong at: VAL (+0.43), RSM (+0.25) · Weak at: AUS (−0.32), AUT (−0.68)

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
2026Monster Energy Yamaha MotoGP TeamAlex Rins11–314–165–23
2025Monster Energy Yamaha MotoGP TeamAlex Rins16–621–1201–68
2024Monster Energy Yamaha MotoGP TeamAlex Rins12–514–4113–31
2023Monster Energy Yamaha MotoGPFranco Morbidelli14–615–5172–102
2022Monster Energy Yamaha MotoGPFranco Morbidelli16–219–1248–42
2021Monster Energy Yamaha MotoGPMaverick Viñales11–413–2278–106
2020Petronas Yamaha SRTFranco Morbidelli7–78–6127–158
2019Petronas Yamaha SRTFranco Morbidelli11–816–3192–115

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.