MotoGP Data dominance · tyre · race pace
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Miguel Oliveira

Portugal

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.83%0.50–1.1426/54142
One-lap pace (qualifying)+1.11%0.77–1.5332/54110
Long run (practice)+1.00%0.60–1.5522/59249
Fast lap (practice)+0.97%0.64–1.4927/60335

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)0.30%0.22–0.3929/54122
Places gained grid → finish+3.00-1.00–5.0018/82117
Hides pace for qualifying−0.05-0.81–0.7727/49109
Hides pace for the race+0.33-0.22–0.7312/3857
Qualifying specialist (+) or diesel (−)−0.07—29/43110
Races better than qualifies+0.59-1.74–2.7520/7493
Top speed361.2 km/h—25/6412267

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

−0.23
Start
−0.15
First laps
−0.60
End of race
−0.74
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 24 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2025−1.0215
2024−0.4412
2023+1.539
2022+2.3118
2021−0.0313
2020+2.6311
2019−0.5515

Q2 risk

10%
Q2 with best lap cancelled
7%
Disastrous Q2

Over 30 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+0.1930.123–0.4153/3411
Degradation in practice · Wet-Soft+0.5360.347–0.7185/86
Race degradation (fuel-corrected)+0.0440.015–0.06936/54122
Pace loss in the race+0.025-0.003–0.05137/54122

Seconds lost per lap over a run. Lower is better: better tyre management.

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2025 ARAMedium / Medium+0.98%−0.05516→15
2025 AUSHard / Medium+0.62%−0.00315→12
2025 AUTMedium / Medium+1.15%+0.06718→17
2025 CATMedium / Medium+0.70%+0.04316→9
2025 CZEMedium / Medium+0.98%−0.02417→17
2025 FRAWet-Medium / Wet-Medium ★+14.51%+0.48020→—
2025 GBRSoft / Medium+1.56%+0.09915→16
2025 GERHard / Medium—%—11→—
2025 HUNMedium / Medium+0.54%−0.00919→12
2025 INASoft / Soft ★+0.41%+0.05410→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 · Strong at: CAT (+0.62) · Weak at: FRA (−1.76)

In races · Strong at: GER (+0.36)

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
2025Prima Pramac Yamaha MotoGPJack Miller8–93–1643–79
2024Trackhouse RacingRaul Fernandez8–610–575–66
2023CryptoDATA RNF MotoGP TeamRaul Fernandez7–610–776–51
2022Red Bull KTM Factory RacingBrad Binder4–168–12149–188
2021Red Bull KTM Factory RacingBrad Binder6–1211–794–151
2020Red Bull KTM Tech 3Iker Lecuona7–39–2125–27
2019Red Bull KTM Tech 3Hafizh Syahrin12–413–333–9

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
2025AMEAbsentsense cap resultat entre dos caps de setmana disputats
2025QATAbsentsense cap resultat entre dos caps de setmana disputats
2025SPAAbsentsense cap resultat entre dos caps de setmana disputats
2025FRAComeback2r event després de absent (QAT)
2025GBRComeback2r event després de absent (SPA)