MotoGP Data dominance · tyre · race pace
ca es

Takaaki Nakagami

Japan

34
Age
09.02.1992
169 cm
Height
56 kg
2007
Debut

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+1.03%0.63–1.4036/54146
One-lap pace (qualifying)+1.14%0.83–1.6932/54113
Long run (practice)+1.08%0.66–1.8032/59246
Fast lap (practice)+1.09%0.58–1.4931/60364

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%0.26–0.4339/54125
Places gained grid → finish+3.00-1.00–5.0018/82127
Hides pace for qualifying−0.33-1.09–0.4544/49115
Hides pace for the race−0.12-0.90–0.3935/3847
Qualifying specialist (+) or diesel (−)+0.10—11/43113
Races better than qualifies−0.38-2.61–2.1834/74109
Top speed360.0 km/h—25/6413436

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

+0.72
Start
−0.64
First laps
+0.17
End of race
−0.48
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 11 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026+0.751
2025+4.362
2024+0.4917
2023−0.5919
2022−0.4813
2021−1.1915
2020+2.1712
2019−1.5814
2018−1.7616

Q2 risk

5%
Q2 with best lap cancelled
5%
Disastrous Q2

Over 21 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+0.3590.289–0.80722/348
Race degradation (fuel-corrected)+0.020-0.001–0.0492/54125
Pace loss in the race+0.001-0.019–0.0292/54125

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2026 AUTMedium / Medium+0.81%+0.05818→13
2025 FRAWet-Medium / Wet-Soft+14.77%+0.24222→6
2025 ITAMedium / Soft+1.03%+0.07219→16
2025 JPNMedium / Medium+1.03%+0.05118→—
2024 AMEMedium / Soft+1.28%—21→—
2024 ARAMedium / Medium+1.64%+0.01218→11
2024 AUSHard / Soft+1.00%−0.07421→18
2024 AUTMedium / Medium+1.57%+0.02922→14
2024 CATMedium / Medium+1.33%+0.04320→14
2024 EMIMedium / Medium+1.70%−0.00520→17

★ = 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: GER (+0.47), VAL (+0.43), SPA (+0.42), CAT (+0.39) · Weak at: EMI (−0.72), AUS (−2.53)

In races · Strong at: SPA (+0.46), QAT (+0.36), ITA (+0.35) · Weak at: RSM (−0.33), AUT (−0.42), JPN (−0.58), EMI (−0.60)

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.

Injuries and absences

SeasonGPTypeNote
2025GBRAbsentNo result between two weekends that were raced
2025ARAAbsentNo result between two weekends that were raced
2025ITAComeback2nd GP after being absent (GBR)
2025NEDAbsentNo result between two weekends that were raced
2025GERAbsentNo result between two weekends that were raced
2025CZEComeback2nd GP after being absent (NED)
2025AUTAbsentNo result between two weekends that were raced
2025HUNAbsentNo result between two weekends that were raced
2025CATAbsentNo result between two weekends that were raced
2025RSMAbsentNo result between two weekends that were raced
2025JPNComeback2nd GP after being absent (CAT)
2025INAComeback2nd GP after being absent (RSM)