MotoGP Data dominance · tyre · race pace
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Pedro Acosta

Spain

Career

By season

SeasonPos.PointsWinsPodiums
2026423416
2025430705
2024621505

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.42%0.23–0.727/54102
One-lap pace (qualifying)+0.59%0.37–0.816/5454
Long run (practice)+0.48%0.21–0.855/59104
Fast lap (practice)+0.46%0.23–0.733/60135

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%0.19–0.3512/5474
Places gained grid → finish+0.50-4.00–4.0061/8256
Hides pace for qualifying−0.10-0.71–0.5233/4957
Hides pace for the race+0.04-0.76–0.5822/3834
Qualifying specialist (+) or diesel (−)−0.03—24/4354
Races better than qualifies+0.61-0.67–3.4018/7446
Top speed364.8 km/h—9/645482

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

+0.64
Start
+0.56
First laps
−0.28
End of race
+0.28
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 44 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026+1.8812
2025+0.7619
2024−0.5815

Q2 risk

9%
Q2 with best lap cancelled
4%
Disastrous Q2

Over 53 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+0.4480.435–0.46224/344
Degradation in practice · Soft+0.2770.235–0.9888/137
Race degradation (fuel-corrected)+0.0500.022–0.09645/5474
Pace loss in the race+0.0320.003–0.07746/5474

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+0.03%−0.0046→2
2026 AUTMedium / Medium0.00%+0.0723→1
2026 BRAHard / Soft ★+0.62%+0.0199→7
2026 CATMedium / Soft+0.07%+0.1201→—
2026 CZEMedium / Medium+0.39%+0.0057→—
2026 FRAHard / Soft+0.24%+0.0234→5
2026 GBRHard / Medium+0.30%−0.0029→5
2026 GERHard / Medium+0.57%+0.0608→4
2026 HUNMedium / Soft+0.05%+0.0062→2
2026 ITAMedium / Medium+0.44%+0.06810→6

★ = 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 (+0.41) · Weak at: FRA (−0.26)

In races · Weak at: AUT (−0.45)

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
2026Red Bull KTM Factory RacingBrad Binder12–315–0234–96
2025Red Bull KTM Factory RacingBrad Binder15–622–0307–155
2024Red Bull GASGAS Tech3Augusto Fernandez15–319–1215–27

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.