MotoGP Data dominance · tyre · race pace
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Luca Marini

Italy

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.85%0.51–1.1426/54156
One-lap pace (qualifying)+1.08%0.69–1.4929/54103
Long run (practice)+0.96%0.63–1.5721/59179
Fast lap (practice)+0.93%0.55–1.4425/60296

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%0.20–0.3623/54134
Places gained grid → finish+2.00-1.00–5.0037/82109
Hides pace for qualifying+0.06-0.51–0.5321/49100
Hides pace for the race+0.04-0.67–0.6422/3844
Qualifying specialist (+) or diesel (−)−0.03—26/43103
Races better than qualifies−0.68-2.88–2.0550/74102
Top speed364.8 km/h—9/6411074

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

+1.01
Start
−0.55
First laps
+0.19
End of race
−0.36
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+1.4015
2025+0.7518
2024−1.1917
2023−0.1615
2022−1.3819
2021−3.0518

Q2 risk

0%
Q2 with best lap cancelled
7%
Disastrous Q2

Over 45 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+0.3080.308–0.40515/343
Race degradation (fuel-corrected)+0.0320.004–0.07218/54134
Pace loss in the race+0.012-0.016–0.05219/54134

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+1.07%+0.00018→14
2026 AUTMedium / Medium+0.92%+0.04815→14
2026 BRAHard / Soft ★+0.79%−0.04419→11
2026 CATMedium / Medium ★+0.44%+0.07316→6
2026 CZEMedium / Medium+0.79%−0.00414→8
2026 FRASoft / Soft+0.55%+0.03214→10
2026 GBRHard / Medium+0.89%+0.00515→9
2026 GERHard / Medium+1.17%+0.03513→8
2026 HUNMedium / Soft+0.75%−0.0259→5
2026 ITAMedium / Medium+1.07%+0.05619→13

★ = 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: GER (+0.54), INA (+0.41), MAL (+0.38) · Weak at: NED (−0.37), FRA (−0.42), SPA (−0.46), AUS (−0.56), ARA (−0.73)

In races · Weak at: POR (−0.31), CAT (−0.36), NED (−0.62)

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
2026Honda HRC CastrolJoan Mir11–32–1297–33
2025Honda HRC CastrolJoan Mir14–59–10142–96
2024Repsol Honda TeamJoan Mir11–78–1114–21
2023Mooney VR46 Racing TeamMarco Bezzecchi7–1110–9201–329
2022Mooney VR46 Racing TeamMarco Bezzecchi12–89–11120–111

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
2025ARAAbsentsense cap resultat entre dos caps de setmana disputats
2025ITAAbsentsense cap resultat entre dos caps de setmana disputats
2025NEDAbsentsense cap resultat entre dos caps de setmana disputats
2025GERComeback2r event després de absent (ITA)
2025CZEComeback2r event després de absent (NED)