MotoGP Data dominance · tyre · race pace
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Cal Crutchlow

United Kingdom

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.76%0.34–1.1822/5457
One-lap pace (qualifying)+0.89%0.52–1.4517/5457
Long run (practice)+1.03%0.73–1.6526/59142
Fast lap (practice)+0.81%0.41–1.4016/60202

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)0.33%0.26–0.4242/5448
Places gained grid → finish−1.00-5.00–2.0078/82184
Hides pace for qualifying−0.02-0.54–0.6925/4960
Hides pace for the race+0.750.00–1.444/3828
Qualifying specialist (+) or diesel (−)+0.04—16/4357
Races better than qualifies−0.38-1.95–1.7634/74135
Top speed360.0 km/h—25/646532

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

Races better than qualifies?

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

SeasonBeats the gridn
2026−0.873
2023+1.401
2022−1.306
2021−2.204
2020−3.239
2019+0.6413
2018+0.6712
2017−0.6113
2016−0.0112
2015−0.0013
2014+0.729
2013−0.7216
2012+0.4313
2011−1.2311

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Race degradation (fuel-corrected)+0.0450.012–0.06641/5448
Pace loss in the race+0.025-0.007–0.04940/5448

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2026 CZEMedium / Medium+1.64%+0.05619→17
2026 GBRHard / Medium+1.52%—20→—
2026 GERHard / Medium+1.72%+0.04320→—
2026 HUNMedium / Medium ★+2.00%−0.01422→16
2026 ITAMedium / Medium+1.67%+0.25822→—
2026 NEDMedium / Soft ★+2.46%−0.06621→16
2023 JPNWet-Medium / Wet-Medium+1.00%+0.03319→13
2022 ARAHard / Medium+0.73%+0.04519→14
2022 AUSHard / Medium ★+0.73%+0.04317→13
2022 JPNHard / Medium+0.76%−0.03523→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 · Weak at: FRA (−2.54), CZE (−2.85), ITA (−3.04)

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
2026Castrol Honda LCRJohann Zarco0–00–00–45
2015CWM LCR HondaJack Miller13–218–0125–17
2014Ducati TeamAndrea Dovizioso1–166–1174–187
2013Monster Yamaha Tech 3Bradley Smith16–218–0188–116
2012Monster Yamaha Tech 3Andrea Dovizioso5–1314–4151–218
2011Monster Yamaha Tech 3Colin Edwards3–117–1070–109

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.