MotoGP Data dominance · tyre · race pace
ca es

Tito Rabat

Spain

37
Age
25.05.1989
2005
Debut
2007
First pole

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+1.25%0.93–1.5938/5437
One-lap pace (qualifying)+1.56%1.14–1.7839/5439
Long run (practice)+1.74%1.24–2.1143/59127
Fast lap (practice)+1.46%1.10–2.1040/60115

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%0.26–0.4244/5435
Places gained grid → finish+4.000.00–6.007/8278
Hides pace for qualifying−0.09-0.92–0.8931/4943
Hides pace for the race+0.33-0.39–0.8511/3826
Qualifying specialist (+) or diesel (−)−0.06—27/4337
Races better than qualifies−0.20-2.32–1.3228/7462
Top speed352.1 km/h—39/644956

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
2021−0.502
2020−1.5510
2019+0.3512
2018−1.248
2017+0.2115
2016+0.4415

Tyres

Tyre management

Metrics/lapUsual rangeRankn
Degradation in practice · Hard+0.3460.192–0.5006/64
Degradation in practice · Medium+0.2290.190–0.40611/348
Degradation in practice · Soft+0.2610.212–0.3105/134
Race degradation (fuel-corrected)+0.0230.000–0.0555/5435
Pace loss in the race+0.003-0.022–0.0345/5435

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2021 FRAWet-Medium / Wet-Medium ★+11.06%+0.10520→15
2021 SPAMedium / Medium+1.16%+0.00323→18
2020 ANCHard / Soft+1.32%+0.02218→11
2020 ARAMedium / Soft+0.90%+0.02920→20
2020 AUTMedium / Soft+1.79%+0.02521→16
2020 CATSoft / Soft+1.40%+0.07022→15
2020 CZEHard / Soft ★+1.48%+0.07715→16
2020 EMIHard / Soft+1.49%−0.09620→—
2020 EURMedium / Medium+1.23%−0.05820→—
2020 FRAWet-Soft / Wet-Soft+3.53%−0.44222→—

★ = 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 (−3.82)

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
2020Hublot Reale AvintiaJohann Zarco3–112–1210–77
2019Reale Avintia RacingKarel Abraham10–58–1023–9
2018Reale Avintia RacingXavier Simeon8–211–135–1
2017EG 0,0 Marc VDSJack Miller4–121–1535–82
2016Estrella Galicia 0,0 Marc VDSJack Miller3–83–1329–57

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.