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Race consistency

Who laps most evenly in races and sprints. We remove each rider’s trend (tyre and fuel) and measure how far each lap strays from it. Races only, never practice.

How it’s calculated

For each rider and race or sprint (since 2018) in which they did not pit, their clean laps are taken excluding the first 2 and the last 2 (where the fight at the start and the easing off at the end happen), with a minimum of 7. Since lap times change over the race (the tyre wears, the tank empties), first the straight line that best follows that trend is drawn and then how far the laps deviate from it is measured: the scatter around the line, as a % of the typical lap time. The lower, the more consistent. To compare circuits and years this % is divided by the median of all riders in that race: an index below 1 means more consistent than the field, above 1 less. For the season the median of the index across all their races is taken, and the ranking only includes riders with at least 5 races. Bike-swap races (flag-to-flag) do not count; races restarted after a red flag do, with the part that counts.

Keep in mind. It only measures consistency, not speed: a rider can be very consistent and slow. Riders who went into the pits are left out. The whole-career figure is the median index across all their races since 2018 (full races and sprints separately), using the same measure; the site only shows riders with 20 races or more, because with few races the figure depends heavily on luck.

Race · 2021

The season

Consistency ranking: Race 2021

#RiderBikeRacesIndex (1 = field)Usual rangeSpread %
1Miguel OliveiraKTM160.830.61–1.000.20%
2Lorenzo SavadoriAprilia70.840.71–1.190.24%
3Francesco BagnaiaDucati150.870.78–1.130.23%
4Joan MirSuzuki150.880.76–1.000.23%
5Johann ZarcoDucati150.900.85–1.190.27%
6Fabio QuartararoYamaha160.900.73–1.010.26%
7Enea BastianiniDucati150.910.76–1.180.28%
8Jack MillerDucati140.930.84–0.990.26%
9Brad BinderKTM160.940.81–1.080.26%
10Alex RinsSuzuki140.980.81–1.200.24%
11Luca MariniDucati161.000.83–1.070.30%
11Franco MorbidelliYamaha121.000.74–1.180.27%
13Alex MarquezHonda121.020.90–1.290.27%
14Valentino RossiYamaha151.030.92–1.110.28%
15Aleix EspargaroAprilia121.040.96–1.190.31%
16Andrea DoviziosoYamaha51.050.78–3.400.29%
17Marc MarquezHonda91.050.98–1.150.29%
18Stefan BradlHonda51.071.06–1.110.25%
19Danilo PetrucciKTM111.081.00–1.160.28%
20Jorge MartinDucati111.090.85–1.240.30%
21Pol EspargaroHonda131.120.95–1.180.31%
22Takaaki NakagamiHonda141.120.93–1.340.33%
23Iker LecuonaKTM151.210.85–2.510.35%
24Maverick ViñalesYamaha141.231.10–1.520.33%
—Daniel PedrosaKTM10.890.89–0.890.25%
—Cal CrutchlowYamaha31.001.00–1.610.28%
—Jake DixonYamaha11.071.07–1.070.30%
—Michele PirroDucati31.211.21–4.850.44%
—Tito RabatDucati11.621.62–1.620.38%
—Garrett GerloffYamaha12.062.06–2.060.72%

Index: median of their races that year, each compared with the field median in that race (1 = like the field; 0.8 = 20% more consistent). Usual range: from their best to their worst races (quartiles). Spread: how far laps stray from their own trend, as % of lap time; it depends on the circuit. Ranked from 5 races. Excluding the first 2 and last 2 laps of each race, pit entries and anomalous laps.

GP by GP: most and least consistent (Race 2021)

GPMost consistentLeast consistentn
QatarJoan Mir 0.55 · +0.020 s/vIker Lecuona 3.65 · +0.009 s/v20
DohaLorenzo Savadori 0.40 · +0.050 s/vTakaaki Nakagami 1.94 · +0.058 s/v22
PortimãoFranco Morbidelli 0.59 · −0.019 s/vMiguel Oliveira 6.34 · −0.052 s/v19
JerezDanilo Petrucci 0.48 · +0.020 s/vFabio Quartararo 2.64 · +0.198 s/v22
MugelloBrad Binder 0.52 · +0.024 s/vMichele Pirro 4.85 · +0.146 s/v19
CatalunyaMiguel Oliveira 0.44 · +0.036 s/vLorenzo Savadori 1.61 · +0.149 s/v17
SachsenringMarc Marquez 0.55 · −0.006 s/vMaverick Viñales 1.52 · +0.029 s/v19
AssenMaverick Viñales 0.47 · −0.027 s/vGarrett Gerloff 2.06 · −0.003 s/v21
StyriaJack Miller 0.69 · −0.019 s/vMaverick Viñales 6.94 · +0.129 s/v21
SilverstoneAlex Rins 0.67 · +0.036 s/vTakaaki Nakagami 1.57 · +0.098 s/v19
AragonFrancesco Bagnaia 0.44 · +0.031 s/vIker Lecuona 2.01 · +0.093 s/v20
MisanoDanilo Petrucci 0.58 · −0.007 s/vAndrea Dovizioso 5.16 · −0.032 s/v23
AustinValentino Rossi 0.42 · −0.007 s/vIker Lecuona 2.97 · +0.001 s/v19
MisanoMiguel Oliveira 0.48 · +0.010 s/vTakaaki Nakagami 6.44 · +0.017 s/v18
PortimãoFrancesco Bagnaia 0.52 · +0.016 s/vIker Lecuona 1.74 · −0.003 s/v20
ValenciaFranco Morbidelli 0.65 · 0.000 s/vAleix Espargaro 1.88 · +0.029 s/v18

For each GP, the index and net degradation (seconds per lap, tyre and fuel) of the most and least consistent. Only riders who ran the race in one stint: a bike swap or a pit stop leaves them out.

A rider over time

Miguel Oliveira

Miguel Oliveira: consistency index per season (below 1 = more consistent than the field).

Miguel Oliveira: GP by GP in 2021.

The dashed line is the field average (1). A single race can come out high because of a mistake or traffic: look at the trend, not one point.

Race

By manufacturer

Typical consistency of each manufacturer per year (Race)

2021 edition

BikeIndex (1 = field)Rider races
Suzuki0.9329
Ducati0.9390
KTM1.0059
Yamaha1.0162
Aprilia1.0224
Honda1.0753

Median index across all rider races for each manufacturer. It mixes the bike and the riders on it.

Race

Whole career

Most consistent over a whole career (Race)

#RiderIndex (1 = field)Usual rangeRaces
1Francesco Bagnaia0.880.73–1.12114
2Jorge Lorenzo0.880.72–1.0424
3Jorge Martin0.890.73–1.0881
4Fabio Quartararo0.910.74–1.11132
5Andrea Dovizioso0.940.78–1.1262
6Fabio Di Giannantonio0.940.81–1.1985
7Joan Mir0.940.75–1.0697
8Brad Binder0.940.74–1.11117
9Ai Ogura0.950.81–1.1426
10Marc Marquez0.960.75–1.16110
11Danilo Petrucci0.970.81–1.1262
12Marco Bezzecchi0.980.78–1.1677
13Miguel Oliveira0.980.77–1.1798
14Luca Marini0.980.79–1.1298
15Alex Marquez0.990.79–1.10100
16Alex Rins0.990.82–1.21126
17Pedro Acosta0.990.81–1.2447
18Jack Miller1.000.83–1.29139
19Franco Morbidelli1.000.82–1.21135
20Enea Bastianini1.000.76–1.2589
21Johann Zarco1.000.79–1.31132
22Cal Crutchlow1.000.87–1.1848
23Valentino Rossi1.010.82–1.2558
24Fermin Aldeguer1.010.93–1.2130
25Takaaki Nakagami1.030.88–1.36108
26Tito Rabat1.050.84–1.3337
27Aleix Espargaro1.060.89–1.31103
28Pol Espargaro1.060.88–1.2892
29Stefan Bradl1.060.87–1.2141
30Raul Fernandez1.080.90–1.3879
31Iker Lecuona1.080.85–1.4531
32Hafizh Syahrin1.110.89–1.2632
33Maverick Viñales1.120.90–1.35130
34Augusto Fernandez1.140.94–1.7043
35Bradley Smith1.160.92–1.2929
36Lorenzo Savadori1.170.84–1.9337
37Remy Gardner1.220.97–1.4622
38Andrea Iannone1.261.00–1.6831
39Karel Abraham1.281.09–1.5731

Median index across all their races since 2018 (1 = like the field; below 1, more consistent), the same measure as the season and each GP. Only riders with 20 races or more: with few races the figure depends heavily on luck and wildcards would top the list.

How it’s calculated

For each rider and race or sprint (since 2018) in which they did not pit, their clean laps are taken excluding the first 2 and the last 2 (where the fight at the start and the easing off at the end happen), with a minimum of 7. Since lap times change over the race (the tyre wears, the tank empties), first the straight line that best follows that trend is drawn and then how far the laps deviate from it is measured: the scatter around the line, as a % of the typical lap time. The lower, the more consistent. To compare circuits and years this % is divided by the median of all riders in that race: an index below 1 means more consistent than the field, above 1 less. For the season the median of the index across all their races is taken, and the ranking only includes riders with at least 5 races. Bike-swap races (flag-to-flag) do not count; races restarted after a red flag do, with the part that counts.

Keep in mind. It only measures consistency, not speed: a rider can be very consistent and slow. Riders who went into the pits are left out. The whole-career figure is the median index across all their races since 2018 (full races and sprints separately), using the same measure; the site only shows riders with 20 races or more, because with few races the figure depends heavily on luck.