MotoGP Data dominance · tyre · race pace
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Fabio Di Giannantonio

Italy

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.59%0.28–0.8616/54148
One-lap pace (qualifying)+0.66%0.42–1.0910/5486
Long run (practice)+0.86%0.38–1.2519/59153
Fast lap (practice)+0.81%0.43–1.2318/60252

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)0.28%0.22–0.3520/54120
Places gained grid → finish0.00-2.00–3.0063/8294
Hides pace for qualifying+0.22-0.32–0.846/4985
Hides pace for the race−0.20-0.82–0.5136/3841
Qualifying specialist (+) or diesel (−)+0.09—13/4386
Races better than qualifies−0.65-2.24–1.5448/7481
Top speed363.6 km/h—17/648981

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

−1.29
Start
−0.01
First laps
+1.03
End of race
+1.02
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 47 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026−0.4114
2025−0.3819
2024+1.3415
2023+1.0017
2022−4.7916

Q2 risk

0%
Q2 with best lap cancelled
4%
Disastrous Q2

Over 57 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+0.3200.320–0.55217/343
Race degradation (fuel-corrected)+0.0380.009–0.07325/54120
Pace loss in the race+0.018-0.010–0.05127/54120

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+0.84%−0.0087→7
2026 AUTMedium / Medium+0.65%+0.0548→9
2026 BRAHard / Medium+0.21%−0.0061→3
2026 CATMedium / Soft0.00%+0.0706→1
2026 CZEMedium / Medium+0.16%−0.0492→4
2026 FRAHard / Soft+0.21%+0.0023→4
2026 GBRHard / Medium+0.28%−0.0544→6
2026 GERHard / Medium+0.48%—3→—
2026 HUNMedium / Medium ★+0.35%−0.0184→12
2026 ITAMedium / Medium+0.27%+0.0417→5

★ = 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: CAT (+0.51) · Weak at: AUS (−0.83), POR (−1.91)

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 TeamFranco Morbidelli14–114–1230–56
2025Pertamina Enduro VR46 Racing TeamFranco Morbidelli8–119–12262–231
2024Pertamina Enduro VR46 Racing TeamMarco Bezzecchi9–89–8165–153
2023Gresini Racing MotoGPAlex Marquez8–93–15151–177
2022Gresini Racing MotoGPEnea Bastianini3–155–1524–219

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.