MotoGP Data dominance · tyre · race pace
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Pol Espargaro

Spain

35
Age
10.06.1991
2006
Debut

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.88%0.57–1.1829/54110
One-lap pace (qualifying)+1.01%0.77–1.3627/5495
Long run (practice)+1.08%0.58–1.9231/59192
Fast lap (practice)+0.89%0.54–1.4823/60335

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)0.32%0.27–0.3934/5499
Places gained grid → finish+1.00-3.00–3.0051/82178
Hides pace for qualifying−0.24-0.77–0.2641/49101
Hides pace for the race+0.07-0.67–1.8120/3840
Qualifying specialist (+) or diesel (−)+0.06—16/4395
Races better than qualifies−0.35-1.89–1.5432/74142
Top speed366.1 km/h—9/6410849

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

Races better than qualifies?

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

SeasonBeats the gridn
2026−2.214
2025−0.154
2024−0.633
2023−3.129
2022−1.3314
2021−1.4615
2020+1.4711
2019−0.6317
2018+0.6410
2017−0.9912
2016+0.6916
2015+0.7913
2014+0.6514

Q2 risk

0%
Q2 with best lap cancelled
7%
Disastrous Q2

Over 29 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+0.4060.214–0.73022/349
Degradation in practice · Wet-Soft+1.4181.418–1.9198/83
Race degradation (fuel-corrected)+0.0410.019–0.06932/5499
Pace loss in the race+0.020-0.003–0.04433/5499

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+1.31%−0.01420→16
2026 AUTMedium / Medium+0.79%+0.02314→16
2026 GBRHard / Medium+1.64%+0.02021→14
2026 RSMMedium / Medium+1.21%+0.00111→14
2025 AUSHard / Medium+0.66%+0.0548→10
2025 CZEMedium / Medium+0.57%−0.06714→9
2025 HUNMedium / Soft ★+0.40%−0.00811→8
2025 MALSoft / Soft0.00%—12→—
2025 PORHard / Medium+0.98%+0.01910→10
2024 AUTMedium / Medium+1.30%+0.04010→11

★ = 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 · Weak at: ITA (−1.98)

In races · Strong at: QAT (+0.64), VAL (+0.59) · Weak at: CAT (−0.59), GBR (−0.86), AUS (−0.99)

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
2023GASGAS Factory Racing Tech3Augusto Fernandez3–85–715–71
2022Repsol Honda TeamMarc Marquez2–92–1156–113
2021Repsol Honda TeamMarc Marquez3–106–8100–142
2020Red Bull KTM Factory RacingBrad Binder10–413–1135–87
2019Red Bull KTM Factory RacingJohann Zarco15–113–3100–30
2018Red Bull KTM Factory RacingBradley Smith8–77–951–38
2017Red Bull KTM Factory RacingBradley Smith11–615–255–29
2016Monster Yamaha Tech 3Bradley Smith12–311–4134–62
2015Monster Yamaha Tech 3Bradley Smith4–148–10114–181
2014Monster Yamaha Tech 3Bradley Smith9–89–9136–121

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
2025AUTAbsentNo result between two weekends that were raced
2025HUNComeback1st GP after being absent (AUT)
2025CATAbsentNo result between two weekends that were raced
2025RSMAbsentNo result between two weekends that were raced
2025JPNAbsentNo result between two weekends that were raced
2025INAAbsentNo result between two weekends that were raced
2025AUSComeback2nd GP after being absent (JPN)
2025MALComeback2nd GP after being absent (INA)