MotoGP Data dominance · tyre · race pace
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Enea Bastianini

Italy

Career

Pace and style

Pace

MetricValueUsual rangeRankn
Race pace+0.56%0.30–0.8813/54147
One-lap pace (qualifying)+1.06%0.66–1.4229/54100
Long run (practice)+1.07%0.61–1.8229/59170
Fast lap (practice)+0.94%0.54–1.3426/60277

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)0.28%0.21–0.3721/54123
Places gained grid → finish+3.000.00–7.0018/82106
Hides pace for qualifying−0.20-0.79–0.4541/49100
Hides pace for the race+1.110.24–2.262/3843
Qualifying specialist (+) or diesel (−)−0.31—41/43100
Races better than qualifies+2.280.76–4.044/7486
Top speed367.3 km/h—3/6410264

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

+0.89
Start
+0.19
First laps
+1.31
End of race
+1.50
Total

Positions gained (+) or lost (−) in each phase versus what the rider’s position would suggest, over 40 races. Descriptive.

Races better than qualifies?

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

SeasonBeats the gridn
2026+2.6412
2025+2.7916
2024+1.6419
2023+1.448
2022+2.0716
2021+2.9115

Q2 risk

6%
Q2 with best lap cancelled
2%
Disastrous Q2

Over 48 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+0.3190.128–0.69617/3416
Race degradation (fuel-corrected)+0.0280.002–0.05612/54123
Pace loss in the race+0.007-0.018–0.03711/54123

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

Tyres race by race

GPFront / rearRel. paceDeg. s/lapGrid→Pos.
2026 ARAMedium / Medium+1.00%−0.01116→8
2026 AUTMedium / Medium+0.79%+0.04417→11
2026 BRAHard / Medium+1.12%−0.03822→15
2026 CZEMedium / Medium+0.98%−0.03515→10
2026 FRAHard / Soft+0.47%+0.02613→7
2026 GBRHard / Medium+1.18%—19→—
2026 GERHard / Medium+1.15%+0.02615→9
2026 HUNMedium / Soft+0.75%−0.02714→9
2026 ITAMedium / Medium+0.27%+0.03611→—
2026 NEDMedium / Medium+0.49%−0.01511→6

★ = 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: POR (−2.44)

In races · Strong at: QAT (+0.34), RSM (+0.29) · Weak at: AUT (−0.28), GER (−0.34)

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
2026Red Bull KTM Tech3Maverick Viñales6–25–397–10
2025Red Bull KTM Tech3Maverick Viñales7–56–10112–72
2024Ducati Lenovo TeamFrancesco Bagnaia5–153–17386–498
2023Ducati Lenovo TeamFrancesco Bagnaia1–101–1384–467
2022Gresini Racing MotoGPFabio Di Giannantonio15–315–5219–24

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

SeasonGPTypeNote
2025GERAbsentsense cap resultat entre dos caps de setmana disputats
2025CZEComeback1r event després de absent (GER)
2025AUTComeback2r event després de absent (GER)