Career
Pace and style
Pace
| Metric | Value | Usual range | Rank | n |
|---|---|---|---|---|
| Race pace | +0.10% | 0.00–0.39 | 2/54 | 174 |
| One-lap pace (qualifying) | +0.28% | 0.04–0.69 | 2/54 | 120 |
| Long run (practice) | +0.27% | 0.00–0.85 | 2/59 | 262 |
| Fast lap (practice) | +0.39% | 0.09–0.88 | 2/60 | 365 |
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
| Metric | Value | Usual range | Rank | n |
|---|---|---|---|---|
| Consistency (pace variation) | 0.27% | 0.20–0.37 | 15/54 | 144 |
| Places gained grid → finish | 0.00 | -2.00–1.00 | 63/82 | 219 |
| Hides pace for qualifying | +0.19 | -0.35–0.75 | 9/49 | 122 |
| Hides pace for the race | +0.11 | -0.60–0.55 | 19/38 | 63 |
| Qualifying specialist (+) or diesel (−) | −0.07 | — | 29/43 | 120 |
| Races better than qualifies | +1.19 | 0.84–2.48 | 11/74 | 184 |
| Top speed | 366.1 km/h | — | 9/64 | 13528 |
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
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.
| Season | Beats the grid | n |
|---|---|---|
| 2026 | +0.78 | 11 |
| 2025 | +1.60 | 16 |
| 2024 | +1.57 | 18 |
| 2023 | −1.13 | 9 |
| 2022 | +0.61 | 10 |
| 2021 | +1.77 | 10 |
| 2019 | +2.47 | 18 |
| 2018 | +1.03 | 16 |
| 2017 | +1.79 | 14 |
| 2016 | +0.35 | 17 |
| 2015 | +1.20 | 12 |
| 2014 | +0.56 | 17 |
| 2013 | +1.64 | 16 |
Q2 risk
Over 84 Q2 sessions since 2021. Disaster = best lap more than 1% slower than the others' median.
Tyres
Tyre management
| Metric | s/lap | Usual range | Rank | n |
|---|---|---|---|---|
| Degradation in practice · Medium | +0.210 | 0.131–0.289 | 6/34 | 4 |
| Degradation in practice · Soft | +0.385 | 0.385–0.403 | 10/13 | 3 |
| Race degradation (fuel-corrected) | +0.040 | 0.012–0.066 | 30/54 | 144 |
| Pace loss in the race | +0.020 | -0.008–0.049 | 30/54 | 144 |
Seconds lost per lap over a run. Lower is better: better tyre management.
Tyres race by race
| GP | Front / rear | Rel. pace | Deg. s/lap | Grid→Pos. |
|---|---|---|---|---|
| 2026 ARA | Medium / Medium | 0.00% | −0.009 | 2→1 |
| 2026 AUT | Medium / Medium | +0.27% | +0.055 | 2→5 |
| 2026 BRA | Hard / Medium | +0.21% | +0.002 | 3→4 |
| 2026 CZE | Medium / Medium | 0.00% | −0.023 | 4→1 |
| 2026 GBR | Hard / Medium | +0.34% | −0.000 | 6→7 |
| 2026 GER | Hard / Medium | +0.39% | +0.049 | 1→1 |
| 2026 HUN | Medium / Medium ★ | 0.00% | −0.014 | 1→1 |
| 2026 ITA | Medium / Medium | +0.52% | +0.083 | 4→7 |
| 2026 NED | Medium / Soft ★ | +0.61% | −0.007 | 7→7 |
| 2026 RSM | Medium / Medium | +0.09% | −0.015 | 2→1 |
★ = 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: CZE (+0.29), ARA (+0.23), FRA (+0.19) · Weak at: MAL (−0.32), NED (−0.33), POR (−0.33), INA (−0.52)
In races · Strong at: ARA (+0.24), ARG (+0.24), CZE (+0.24), AME (+0.19) · Weak at: AUT (−0.23), POR (−0.31), MAL (−0.41), CAT (−0.65)
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
| Season | Team | Teammate | Race | Grid | Points |
|---|---|---|---|---|---|
| 2026 | Ducati Lenovo Team | Francesco Bagnaia | 10–2 | 10–4 | 294–156 |
| 2025 | Ducati Lenovo Team | Francesco Bagnaia | 14–3 | 13–5 | 545–288 |
| 2024 | Gresini Racing MotoGP | Alex Marquez | 15–4 | 14–6 | 392–173 |
| 2023 | Repsol Honda Team | Joan Mir | 8–2 | 10–3 | 96–26 |
| 2022 | Repsol Honda Team | Pol Espargaro | 9–2 | 11–2 | 113–56 |
| 2021 | Repsol Honda Team | Pol Espargaro | 10–3 | 8–6 | 142–100 |
| 2019 | Repsol Honda Team | Jorge Lorenzo | 14–0 | 15–0 | 420–28 |
| 2018 | Repsol Honda Team | Daniel Pedrosa | 16–1 | 17–2 | 321–117 |
| 2017 | Repsol Honda Team | Daniel Pedrosa | 13–4 | 13–4 | 298–210 |
| 2016 | Repsol Honda Team | Daniel Pedrosa | 13–2 | 14–1 | 298–155 |
| 2015 | Repsol Honda Team | Daniel Pedrosa | 9–6 | 12–3 | 242–206 |
| 2014 | Repsol Honda Team | Daniel Pedrosa | 15–2 | 15–3 | 362–246 |
| 2013 | Repsol Honda Team | Daniel Pedrosa | 10–7 | 14–4 | 334–300 |
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
| Season | GP | Type | Note |
|---|---|---|---|
| 2026 | THA | Riding injured | Lesionat de pretemporada; recuperació a partir de Mugello (ITA) |
| 2026 | BRA | Riding injured | Lesionat de pretemporada; recuperació a partir de Mugello (ITA) |
| 2026 | USA | Riding injured | Lesionat de pretemporada; recuperació a partir de Mugello (ITA) |
| 2026 | SPA | Riding injured | Lesionat de pretemporada; recuperació a partir de Mugello (ITA) |
| 2026 | FRA | Riding injured | Lesionat de pretemporada; recuperació a partir de Mugello (ITA) |
| 2026 | CAT | Absent | sense cap resultat entre dos caps de setmana disputats |
| 2026 | ITA | Comeback | 2r event després de hurt (FRA) |
| 2026 | HUN | Comeback | 2r event després de absent (CAT) |