MotoGP Data dominance · tyre · race pace
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Joan Mir

Spain

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.65%0.35–1.1018/54150
One-lap pace (qualifying)+0.91%0.63–1.3022/54123
Long run (practice)+0.80%0.40–1.2711/59216
Fast lap (practice)+0.79%0.49–1.2313/60379

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)0.26%0.21–0.359/54111
Places gained grid → finish+2.00-3.00–4.0037/82135
Hides pace for qualifying−0.15-0.67–0.3436/49123
Hides pace for the race−0.07-0.67–0.6730/3855
Qualifying specialist (+) or diesel (−)−0.09—31/43123
Races better than qualifies+1.46-0.17–3.475/7480
Top speed363.6 km/h—17/6412984

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

+0.74
Start
−0.08
First laps
−0.08
End of race
−0.17
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 19 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026−0.865
2025+1.119
2024+0.509
2023−0.016
2022+1.6710
2021+3.0216
2020+3.8311
2019−0.0114

Q2 risk

2%
Q2 with best lap cancelled
4%
Disastrous Q2

Over 47 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+0.5620.462–0.89130/3410
Race degradation (fuel-corrected)+0.0380.010–0.07223/54111
Pace loss in the race+0.017-0.010–0.05225/54111

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+1.06%+0.00215→12
2026 BRAHard / Soft ★+0.44%+0.02413→—
2026 CATMedium / Soft+0.08%+0.10810→13
2026 CZEMedium / Soft ★+0.48%+0.00711→5
2026 FRAHard / Soft+0.22%+0.0036→—
2026 GERHard / Medium+0.74%—12→—
2026 HUNMedium / Soft+1.12%−0.00313→—
2026 ITAMedium / Medium+0.89%+0.06115→12
2026 RSMMedium / Medium+1.57%—17→—
2026 SPAMedium / Medium+1.18%+0.00914→15

★ = 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: VAL (+0.48), SPA (+0.30) · Weak at: ITA (−0.55), EMI (−0.61), AUS (−0.74)

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 CastrolLuca Marini3–1112–233–97
2025Honda HRC CastrolLuca Marini5–1410–996–142
2024Repsol Honda TeamLuca Marini7–1111–821–14
2023Repsol Honda TeamMarc Marquez2–83–1026–96
2022Team SUZUKI ECSTARAlex Rins4–96–987–173
2021Team SUZUKI ECSTARAlex Rins12–46–11208–99
2020Team SUZUKI ECSTARAlex Rins8–510–4171–139
2019Team SUZUKI ECSTARAlex Rins4–134–1392–205

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.