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 · 2026

The season

Consistency ranking: Race 2026

#	Rider	Bike	Races	Index (1 = field)	Usual range	Spread %
1	Alex Marquez	Ducati	9	0.67	0.64–1.52	0.20%
2	Brad Binder	KTM	14	0.85	0.71–0.94	0.20%
3	Fabio Di Giannantonio	Ducati	14	0.91	0.81–1.04	0.23%
4	Marco Bezzecchi	Aprilia	10	0.91	0.75–1.05	0.22%
5	Ai Ogura	Aprilia	12	0.91	0.82–1.05	0.22%
6	Diogo Moreira	Honda	12	0.93	0.74–1.01	0.21%
7	Fermin Aldeguer	Ducati	10	0.94	0.77–0.97	0.22%
8	Alex Rins	Yamaha	13	0.96	0.81–1.10	0.23%
9	Jorge Martin	Aprilia	14	0.97	0.76–1.13	0.22%
10	Joan Mir	Honda	8	0.97	0.94–1.04	0.21%
11	Fabio Quartararo	Yamaha	14	0.98	0.87–1.19	0.24%
12	Francesco Bagnaia	Ducati	11	1.00	0.83–1.17	0.23%
13	Pedro Acosta	KTM	15	1.00	0.81–1.27	0.23%
14	Luca Marini	Honda	15	1.01	0.75–1.20	0.25%
15	Marc Marquez	Ducati	12	1.04	0.98–1.27	0.25%
16	Raul Fernandez	Aprilia	13	1.09	0.95–1.26	0.22%
17	Enea Bastianini	KTM	13	1.12	0.95–1.34	0.29%
18	Toprak Razgatlioglu	Yamaha	15	1.13	1.02–1.35	0.26%
19	Franco Morbidelli	Ducati	13	1.15	0.98–1.31	0.27%
20	Johann Zarco	Honda	8	1.16	0.87–1.41	0.32%
21	Jack Miller	Yamaha	13	1.29	0.88–1.56	0.28%
22	Maverick Viñales	KTM	8	1.49	1.10–2.21	0.48%
—	Takaaki Nakagami	Honda	1	0.88	0.88–0.88	0.23%
—	Iker Lecuona	Ducati	1	1.02	1.02–1.02	0.37%
—	Augusto Fernandez	Yamaha	4	1.08	1.04–1.12	0.25%
—	Jonas Folger	KTM	1	1.19	1.19–1.19	0.31%
—	Cal Crutchlow	Honda	3	1.21	1.21–1.74	0.21%
—	Michele Pirro	Ducati	2	1.34	1.19–1.48	0.36%
—	Pol Espargaro	KTM	4	1.43	1.32–1.55	0.36%
—	Lorenzo Savadori	Aprilia	1	3.14	3.14–3.14	0.66%

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 2026)

GP	Most consistent	Least consistent	n
Thailand	Joan Mir 0.54 · +0.081 s/v	Maverick Viñales 3.23 · +0.051 s/v	22
Brazil	Alex Marquez 0.63 · −0.002 s/v	Maverick Viñales 1.59 · +0.033 s/v	18
Austin	Jack Miller 0.54 · −0.005 s/v	Marc Marquez 2.88 · −0.023 s/v	20
Jerez	Jorge Martin 0.59 · +0.043 s/v	Joan Mir 2.89 · −0.002 s/v	21
Le Mans	Luca Marini 0.67 · +0.038 s/v	Toprak Razgatlioglu 1.88 · +0.033 s/v	19
Catalunya	Brad Binder 0.68 · +0.108 s/v	Jorge Martin 3.00 · +0.257 s/v	18
Mugello	Brad Binder 0.69 · +0.078 s/v	Luca Marini 2.30 · +0.050 s/v	20
Hungary	Diogo Moreira 0.58 · −0.011 s/v	Enea Bastianini 2.20 · −0.023 s/v	18
Brno	Maverick Viñales 0.70 · −0.006 s/v	Alex Rins 2.15 · −0.036 s/v	19
Assen	Raul Fernandez 0.58 · +0.026 s/v	Maverick Viñales 2.21 · −0.045 s/v	18
Sachsenring	Luca Marini 0.69 · +0.041 s/v	Maverick Viñales 4.54 · +0.108 s/v	17
Silverstone	Luca Marini 0.75 · +0.013 s/v	Alex Marquez 2.42 · −0.015 s/v	16
Aragon	Pedro Acosta 0.54 · +0.001 s/v	Johann Zarco 3.58 · −0.060 s/v	19
Misano	Enea Bastianini 0.54 · −0.040 s/v	Franco Morbidelli 3.32 · −0.055 s/v	16
Austria	Pedro Acosta 0.57 · +0.073 s/v	Jack Miller 3.51 · +0.166 s/v	22

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

Alex Marquez

Rider

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

Alex Marquez: GP by GP in 2026.

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)

2026 edition

Bike	Index (1 = field)	Rider races
Aprilia	0.97	50
Honda	0.98	47
Ducati	0.99	72
KTM	1.04	55
Yamaha	1.08	59

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)

#	Rider	Index (1 = field)	Usual range	Races
1	Francesco Bagnaia	0.88	0.73–1.12	114
2	Jorge Lorenzo	0.88	0.72–1.04	24
3	Jorge Martin	0.89	0.73–1.08	81
4	Fabio Quartararo	0.91	0.74–1.11	132
5	Andrea Dovizioso	0.94	0.78–1.12	62
6	Fabio Di Giannantonio	0.94	0.81–1.19	85
7	Joan Mir	0.94	0.75–1.06	97
8	Brad Binder	0.94	0.74–1.11	117
9	Ai Ogura	0.95	0.81–1.14	26
10	Marc Marquez	0.96	0.75–1.16	110
11	Danilo Petrucci	0.97	0.81–1.12	62
12	Marco Bezzecchi	0.98	0.78–1.16	77
13	Miguel Oliveira	0.98	0.77–1.17	98
14	Luca Marini	0.98	0.79–1.12	98
15	Alex Marquez	0.99	0.79–1.10	100
16	Alex Rins	0.99	0.82–1.21	126
17	Pedro Acosta	0.99	0.81–1.24	47
18	Jack Miller	1.00	0.83–1.29	139
19	Franco Morbidelli	1.00	0.82–1.21	135
20	Enea Bastianini	1.00	0.76–1.25	89
21	Johann Zarco	1.00	0.79–1.31	132
22	Cal Crutchlow	1.00	0.87–1.18	48
23	Valentino Rossi	1.01	0.82–1.25	58
24	Fermin Aldeguer	1.01	0.93–1.21	30
25	Takaaki Nakagami	1.03	0.88–1.36	108
26	Tito Rabat	1.05	0.84–1.33	37
27	Aleix Espargaro	1.06	0.89–1.31	103
28	Pol Espargaro	1.06	0.88–1.28	92
29	Stefan Bradl	1.06	0.87–1.21	41
30	Raul Fernandez	1.08	0.90–1.38	79
31	Iker Lecuona	1.08	0.85–1.45	31
32	Hafizh Syahrin	1.11	0.89–1.26	32
33	Maverick Viñales	1.12	0.90–1.35	130
34	Augusto Fernandez	1.14	0.94–1.70	43
35	Bradley Smith	1.16	0.92–1.29	29
36	Lorenzo Savadori	1.17	0.84–1.93	37
37	Remy Gardner	1.22	0.97–1.46	22
38	Andrea Iannone	1.26	1.00–1.68	31
39	Karel Abraham	1.28	1.09–1.57	31

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