MotoGP Data dominance · tyre · race pace
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Franco Morbidelli

Italy

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.76%0.50–1.0622/54204
One-lap pace (qualifying)+0.91%0.43–1.2520/54139
Long run (practice)+0.85%0.50–1.3718/59331
Fast lap (practice)+0.77%0.45–1.2311/60439

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)0.29%0.22–0.4226/54168
Places gained grid → finish0.00-4.00–3.0063/82157
Hides pace for qualifying−0.01-0.61–0.6725/49145
Hides pace for the race−0.01-0.62–0.6727/3878
Qualifying specialist (+) or diesel (−)+0.03—17/43139
Races better than qualifies−0.96-2.82–1.4057/74131
Top speed362.4 km/h—17/6416178

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

−1.44
Start
−0.10
First laps
−0.24
End of race
−0.34
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 39 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026−2.6713
2025+0.5116
2024−0.6315
2023+0.5520
2022−0.4415
2021−5.5913
2020−0.2211
2019−0.6113
2018−0.7315

Q2 risk

2%
Q2 with best lap cancelled
3%
Disastrous Q2

Over 59 Q2 sessions since 2021. Disaster = best lap more than 1% slower than the others' median.

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Degradation in practice · Hard+0.1230.061–0.1843/64
Degradation in practice · Medium+0.5120.420–1.25229/3418
Degradation in practice · Soft+0.5200.187–0.64412/135
Degradation in practice · Wet-Soft+0.1920.156–0.2471/85
Race degradation (fuel-corrected)+0.0370.014–0.07023/54168
Pace loss in the race+0.015-0.006–0.05020/54168

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+1.05%—12→—
2026 AUTMedium / Medium+1.21%+0.04019→18
2026 BRAHard / Medium+1.05%−0.05215→12
2026 CATMedium / Soft+0.46%+0.0502→10
2026 CZEMedium / Medium+1.07%−0.0108→13
2026 FRAHard / Soft+1.37%+0.01515→14
2026 GBRHard / Medium+0.99%+0.0768→11
2026 GERHard / Medium+1.55%+0.05110→13
2026 HUNMedium / Medium ★+1.09%−0.02919→14
2026 ITAMedium / Medium+1.14%+0.0619→14

★ = 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: MAL (+0.40), SPA (+0.35), CAT (+0.27) · Weak at: AUT (−0.28), INA (−0.38), AUS (−0.77)

In races · Strong at: VAL (+0.67), POR (+0.36), JPN (+0.34), QAT (+0.24) · Weak at: AUT (−0.29), FRA (−0.31), AUS (−0.38), AME (−0.64)

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
2026Pertamina Enduro VR46 Racing TeamFabio Di Giannantonio1–141–1456–230
2025Pertamina Enduro VR46 Racing TeamFabio Di Giannantonio11–812–9231–262
2024Prima Pramac RacingJorge Martin1–182–18173–508
2023Monster Energy Yamaha MotoGPFabio Quartararo6–145–15102–172
2022Monster Energy Yamaha MotoGPFabio Quartararo2–161–1942–248
2021Petronas Yamaha SRTValentino Rossi4–910–347–44
2020Petronas Yamaha SRTFabio Quartararo7–76–8158–127
2019Petronas Yamaha SRTFabio Quartararo8–113–16115–192
2018EG 0,0 Marc VDSThomas Luthi14–115–350–0

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.

Injuries and absences

SeasonGPTypeNote
2025CZEAbsentNo result between two weekends that were raced
2025AUTComeback1st GP after being absent (CZE)
2025HUNComeback2nd GP after being absent (CZE)