MotoGP Data dominance · tyre · race pace
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Alex Marquez

Spain

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.51%0.19–0.789/54164
One-lap pace (qualifying)+0.85%0.36–1.3015/54113
Long run (practice)+0.75%0.35–1.1410/59282
Fast lap (practice)+0.74%0.40–1.209/60333

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)0.27%0.20–0.3513/54133
Places gained grid → finish+1.00-2.00–5.0051/82123
Hides pace for qualifying+0.01-0.54–0.6524/49112
Hides pace for the race−0.08-0.67–0.5531/3864
Qualifying specialist (+) or diesel (−)−0.17—39/43113
Races better than qualifies+1.37-0.31–3.327/7494
Top speed364.8 km/h—9/6412488

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

−0.13
Start
+0.28
First laps
+0.35
End of race
+0.62
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 42 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026+2.827
2025+0.8019
2024+0.2616
2023+0.9012
2022+1.1316
2021+2.2712
2020+2.8412

Q2 risk

9%
Q2 with best lap cancelled
3%
Disastrous Q2

Over 69 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+0.3560.235–1.13021/3415
Degradation in practice · Soft+0.2850.249–0.3868/136
Race degradation (fuel-corrected)+0.0450.015–0.07837/54133
Pace loss in the race+0.025-0.005–0.05938/54133

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+0.29%+0.0183→4
2026 AUTMedium / Medium+0.23%+0.0566→—
2026 BRAHard / Medium+0.45%+0.0018→6
2026 FRAHard / Soft—%—9→—
2026 GBRHard / Medium0.00%−0.0107→4
2026 GERHard / Medium0.00%+0.0882→—
2026 NEDMedium / Soft ★+0.53%−0.02512→5
2026 RSMMedium / Medium0.00%−0.0139→2
2026 SPAMedium / Medium0.00%+0.0435→1
2026 THASoft / Medium+0.45%+0.0627→—

★ = 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: QAT (+0.62) · Weak at: AUT (−0.41), EMI (−0.95), ITA (−1.45)

In races · Strong at: ARA (+0.39) · Weak at: VAL (−0.37), AUT (−0.54)

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
2026BK8 Gresini Racing MotoGPFermin Aldeguer5–36–3158–115
2025BK8 Gresini Racing MotoGPFermin Aldeguer15–620–2467–214
2024Gresini Racing MotoGPMarc Marquez4–156–14173–392
2023Gresini Racing MotoGPFabio Di Giannantonio9–815–3177–151
2020Repsol Honda TeamStefan Bradl7–46–574–27

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
2026ITAAbsentNo result between two weekends that were raced
2026HUNAbsentNo result between two weekends that were raced
2026CZEAbsentNo result between two weekends that were raced
2026NEDComeback2nd GP after being absent (HUN)
2026GERComeback2nd GP after being absent (CZE)