MotoGP Data dominance · tyre · race pace
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Bradley Smith

United Kingdom

35
Age
28.11.1990
2006
Debut

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+1.41%1.08–1.7242/5427
One-lap pace (qualifying)+1.44%1.24–1.7036/5431
Long run (practice)+1.62%1.22–2.0239/5986
Fast lap (practice)+1.47%1.27–1.8641/60101

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)0.31%0.26–0.3732/5426
Places gained grid → finish+1.50-1.00–4.0050/82118
Hides pace for qualifying+0.18-0.63–0.8011/4933
Hides pace for the race−0.39-0.94–0.0737/3818
Qualifying specialist (+) or diesel (−)+0.21—8/4327
Races better than qualifies−0.69-2.25–1.7651/74102
Top speed349.5 km/h—44/643489

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
2020−1.2810
2019−2.642
2018−0.6415
2017−1.7414
2016−0.7012
2015+1.2818
2014−1.9016
2013−0.1715

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Race degradation (fuel-corrected)+0.0580.032–0.08750/5426
Pace loss in the race+0.0340.011–0.06449/5426

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2020 ANCHard / Soft+1.38%+0.04519→12
2020 ARASoft / Soft+0.90%+0.03819→19
2020 AUTMedium / Soft+1.61%+0.05120→13
2020 CATSoft / Soft+1.72%+0.08521→16
2020 CZEHard / Soft ★+1.78%+0.12519→17
2020 EMIHard / Soft+1.28%+0.02719→13
2020 FRAWet-Soft / Wet-Soft+2.58%−0.65019→—
2020 RSMMedium / Soft+2.26%−0.01820→19
2020 SPAHard / Soft+2.01%+0.03016→15
2020 STYMedium / Soft+1.11%−0.04318→19

★ = 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: CAT (−0.26), ARA (−0.30)

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
2020Aprilia Racing Team GresiniAleix Espargaro4–71–1012–42
2018Red Bull KTM Factory RacingPol Espargaro7–89–738–51
2017Red Bull KTM Factory RacingPol Espargaro6–112–1529–55
2016Monster Yamaha Tech 3Pol Espargaro3–124–1162–134
2015Monster Yamaha Tech 3Pol Espargaro14–410–8181–114
2014Monster Yamaha Tech 3Pol Espargaro8–99–9121–136
2013Monster Yamaha Tech 3Cal Crutchlow2–160–18116–188

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.