MotoGP Data dominance · tyre · race pace
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Raul Fernandez

Spain

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.89%0.56–1.1431/54146
One-lap pace (qualifying)+0.97%0.62–1.4726/5481
Long run (practice)+1.01%0.59–1.6824/59149
Fast lap (practice)+1.09%0.60–1.6030/60264

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%0.25–0.4336/54117
Places gained grid → finish+2.00-1.00–4.0037/8293
Hides pace for qualifying+0.13-0.57–0.7413/4986
Hides pace for the race+0.00-0.81–0.6725/3838
Qualifying specialist (+) or diesel (−)+0.11—10/4381
Races better than qualifies−0.68-2.53–1.7651/7476
Top speed361.2 km/h—25/648969

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

−0.81
Start
+0.34
First laps
−0.39
End of race
−0.04
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 43 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026−0.0913
2025+0.5718
2024−2.5015
2023−1.2514
2022−0.3816

Q2 risk

6%
Q2 with best lap cancelled
3%
Disastrous Q2

Over 34 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+0.6670.252–1.14832/346
Race degradation (fuel-corrected)+0.0510.020–0.09348/54117
Pace loss in the race+0.0330.000–0.07249/54117

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+0.54%—4→—
2026 AUTMedium / Medium+1.08%+0.06513→12
2026 BRAHard / Medium+0.68%−0.01316→10
2026 CATMedium / Medium ★+0.51%+0.0884→17
2026 CZEMedium / Medium+0.75%−0.0086→7
2026 FRAHard / Soft+0.51%+0.02912→8
2026 GBRHard / Medium+0.07%+0.0352→1
2026 GERHard / Medium+0.51%+0.0594→3
2026 ITAMedium / Medium+0.49%+0.0742→9
2026 NEDMedium / Medium+0.22%+0.0154→2

★ = 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: GBR (−2.06), RSM (−2.74)

In races · Strong at: GER (+0.37), AUS (+0.31) · Weak at: AUT (−0.50)

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
2026Trackhouse MotoGP TeamAi Ogura3–107–6203–222
2025Trackhouse MotoGP TeamAi Ogura10–712–7172–89
2024Trackhouse RacingMiguel Oliveira6–85–1066–75
2023CryptoDATA RNF MotoGP TeamMiguel Oliveira6–77–1051–76
2022Tech3 KTM Factory RacingRemy Gardner10–75–1414–13

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
2025PORAbsentsense cap resultat entre dos caps de setmana disputats
2025VALComeback1r event després de absent (POR)