MotoGP Data dominance · tyre · race pace
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Round 1 of 18 Aftermath

Qatar Grand Prix 2010

Lusail International Circuit Qatar

5.380 m · 21 laps · since 2004
09.04 – 11.04.2010
Aftermath

What happened

The official result against what we predicted, race craft by phase and the start.

Race result

Pos.RiderBikeTeamTime / gapPoints
1Valentino RossiYamahaFiat Yamaha Team42:50.09925
2Jorge LorenzoYamahaFiat Yamaha Team+1.02220
3Andrea DoviziosoHondaRepsol Honda Team+1.86516
4Nicky HaydenDucatiDucati Team+1.87613
5Ben SpiesYamahaMonster Yamaha Tech 3+3.90311
6Randy De PunietHondaLCR Honda MotoGP+9.32210
7Daniel PedrosaHondaRepsol Honda Team+16.5089
8Colin EdwardsYamahaMonster Yamaha Tech 3+19.8678
9Loris CapirossiSuzukiRizla Suzuki MotoGP+20.8937
10Hiroshi AoyamaHondaInterwetten Honda MotoGP+21.1006
11Marco SimoncelliHondaSan Carlo Honda Gresini+31.6385
12Hector BarberaDucatiPaginas Amarillas Aspar+32.5734
13Marco MelandriHondaSan Carlo Honda Gresini+40.7803
DNFAleix EspargaroDucatiPramac Racing TeamRetired0
DNFAlvaro BautistaSuzukiRizla Suzuki MotoGPRetired0
DNFCasey StonerDucatiDucati TeamRetired0
DNFMika KallioDucatiPramac Racing TeamRetired0

Sprint result

Pending · no data yet

Forecast vs reality

C14
Pending · no data yet

Lap-by-lap positions: race

Position crossing the line on each lap. The top six are in colour; the rest can be switched on in the legend. When a rider retires, their line ends.

Lap-by-lap positions: sprint

Pending · no data yet

Race pace

Pending · no data yet

Who was the most consistent

Pending · no data yet

The race in numbers

Race

29
Overtakes
5
Lead changes
4 leaders
17/22
Laps led by the winner
Valentino Rossi
1.022 s
Closest finish

Comeback of the day: Ben Spies, from P11 to P5.

Longest battle: Alvaro Bautista vs Hector Barbera (21 laps).

Overtakes are counted at the finish line: moves undone within the same lap are not seen. It is a measure of movement, not an official statistic.

How it’s calculated

Everything comes from the order of crossing the line on each lap (official lap-by-lap position sheet, since 2010). An overtake is a pair of riders who swap order between two consecutive laps (moving up because someone retires does not count). A battle is two riders running less than 1 second apart for at least 5 consecutive laps. Lead changes, different leaders, laps led by the winner, the closest finish (gap of 2nd at the line), the biggest comeback (from the official grid to the finishing position) and whether there was a red flag are also counted. Per rider: position on the first lap and at the finish, laps led, overtakes made and suffered, best and worst position.

Keep in mind. Only what happens at the finish line is seen: an overtake and a counter-overtake within the same lap do not show up. It is a measure of the race’s “movement”, not an official overtaking statistic.

Incidents

Pending · no data yet

The start

C23

Holeshot: Valentino Rossi (started P2).

RiderGridL1Δ
Nicky Hayden93+6
Daniel Pedrosa72+5
Marco Simoncelli1510+5
Randy De Puniet49−5
Mika Kallio1217−5
Hiroshi Aoyama1013−3
How it’s calculated

For each race and sprint, each rider’s position on the official grid (the race grid or the sprint grid, which can differ because of penalties) is compared with the position in which they cross the line at the end of the first lap, according to the official lap-by-lap position sheet. “Gain” is the places gained (positive) or lost (negative) at the start and on the first lap; “holeshot” marks who crosses the line first at the end of the first lap.

Keep in mind. It measures the whole first lap, not just the start to the first corner. In the 6 races split by a red flag, the actual restart grid was the order from the first part, and here it is compared with Saturday’s grid: the gain in those races is approximate.

Who finished better and worse than the grid suggested

RiderGrid→Pos.Beats the grid
Ben Spies11→5+4.3
Nicky Hayden9→4+4.0
Andrea Dovizioso6→3+3.0
Randy De Puniet4→6−1.2
Hiroshi Aoyama10→10−1.4
Loris Capirossi5→9−3.6

Positions gained (+) or lost (−) versus what the starting position suggests, net of what is normally gained or lost at the start. Finishers only.

How it’s calculated

Using all riders who have finished races since 2010, the typical finishing position for each starting position is calculated (a straight line: whoever starts 10th finishes, on average, around 10th, but the pole-sitter cannot gain places and the last rider cannot lose any, and the line already takes this into account). The residual for a race is the difference between this typical position and the actual position: positive means they finished better than their grid slot suggested, negative worse. The evolution takes the average of all of each rider’s residuals per season.

Keep in mind. It only counts finished races: a retirement gives no residual (it leaves a gap in the curve, not a bad number). A single race is noise; what matters is the trend over many races.

The tyre gamble

Pending · no data yet

Race weather

C25
23.5 °C
Air
max 23.8 °C
52%
Humidity
Dry
Rain
16 km/h
Wind
gusts 22 km/h

Open-Meteo data at the circuit location during the race; not the track temperature.

Race weekend

As it happens

Live timing, the grid as it forms and who wins the run to turn one.

The weekend, session by session

FP1 · 09.04
Pos.RiderBest lapGapLapsTop km/h
1Casey Stoner01:55.500—17317.7
2Jorge Lorenzo01:56.026+0.52620314.3
3Valentino Rossi01:56.028+0.52823315.2
4Andrea Dovizioso01:56.698+1.19823319.1
5Nicky Hayden01:56.793+1.29323315.1
6Ben Spies01:56.818+1.31822312.9
7Alvaro Bautista01:56.998+1.49819315.2
8Randy De Puniet01:57.031+1.53121311.8
9Mika Kallio01:57.059+1.55922318.6
10Hector Barbera01:57.105+1.60520318.2
11Daniel Pedrosa01:57.133+1.63321317.3
12Colin Edwards01:57.167+1.66722311.3
13Loris Capirossi01:57.363+1.86319317.2
14Marco Simoncelli01:57.535+2.03523312.5
15Aleix Espargaro01:57.605+2.10520314.2
16Marco Melandri01:58.035+2.53522316.4
17Hiroshi Aoyama01:58.082+2.58222316.6
FP2 · 10.04
Pos.RiderBest lapGapLapsTop km/h
1Casey Stoner01:55.501—18324.9
2Valentino Rossi01:55.841+0.34023319.9
3Randy De Puniet01:56.350+0.84922320.9
4Andrea Dovizioso01:56.569+1.06815327.9
5Jorge Lorenzo01:56.646+1.14522320.7
6Mika Kallio01:56.664+1.16322325.5
7Ben Spies01:56.678+1.17720316.6
8Loris Capirossi01:56.713+1.21222321.3
9Daniel Pedrosa01:56.736+1.23522326.9
10Colin Edwards01:56.776+1.27523318.0
11Nicky Hayden01:56.786+1.28523321.0
12Marco Simoncelli01:56.796+1.29521319.6
13Alvaro Bautista01:56.972+1.47121320.2
14Aleix Espargaro01:57.024+1.52322319.8
15Hector Barbera01:57.272+1.77120325.7
16Hiroshi Aoyama01:57.371+1.87023322.7
17Marco Melandri01:57.513+2.01222322.0
Qualifying · 10.04
Pos.RiderBest lapGapLapsTop km/h
1Casey Stoner01:55.007—19329.1
2Valentino Rossi01:55.362+0.35525319.4
3Jorge Lorenzo01:55.520+0.51324320.5
4Randy De Puniet01:55.831+0.82424319.2
5Loris Capirossi01:55.899+0.89223321.6
6Andrea Dovizioso01:55.963+0.95625325.8
7Daniel Pedrosa01:55.990+0.98323323.0
8Colin Edwards01:56.005+0.99822318.7
9Nicky Hayden01:56.163+1.15624322.2
10Hiroshi Aoyama01:56.227+1.22023323.7
11Ben Spies01:56.271+1.26422318.0
12Mika Kallio01:56.283+1.27623328.5
13Alvaro Bautista01:56.450+1.44323319.5
14Aleix Espargaro01:56.652+1.64522321.5
15Marco Simoncelli01:56.957+1.95021320.7
16Hector Barbera01:57.130+2.12323326.6
17Marco Melandri01:57.325+2.31823321.8
Warm Up · 11.04
Pos.RiderBest lapGapLapsTop km/h
1Casey Stoner01:55.530—9322.0
2Valentino Rossi01:55.968+0.43810316.7
3Jorge Lorenzo01:56.387+0.8579316.1
4Nicky Hayden01:56.583+1.05310317.9
5Ben Spies01:56.871+1.3419314.3
6Randy De Puniet01:56.904+1.37410320.2
7Andrea Dovizioso01:56.931+1.40110319.1
8Daniel Pedrosa01:57.004+1.4749319.8
9Colin Edwards01:57.139+1.6099316.0
10Loris Capirossi01:57.350+1.8209313.1
11Hector Barbera01:57.357+1.82710319.2
12Aleix Espargaro01:57.435+1.90510315.7
13Marco Melandri01:57.528+1.99810314.3
14Hiroshi Aoyama01:57.540+2.01010318.1
15Marco Simoncelli01:57.654+2.12410315.2
16Alvaro Bautista01:57.682+2.1526318.1
17Mika Kallio01:57.977+2.4478318.5
Race · 11.04
Pos.RiderTime / gapPointsLaps
1Valentino Rossi42:50.0992522
2Jorge Lorenzo+1.0222022
3Andrea Dovizioso+1.8651622
4Nicky Hayden+1.8761322
5Ben Spies+3.9031122
6Randy De Puniet+9.3221022
7Daniel Pedrosa+16.508922
8Colin Edwards+19.867822
9Loris Capirossi+20.893722
10Hiroshi Aoyama+21.100622
11Marco Simoncelli+31.638522
12Hector Barbera+32.573422
13Marco Melandri+40.780322
RetiredAleix Espargaro07
RetiredAlvaro Bautista021
RetiredCasey Stoner05
RetiredMika Kallio02

Official classification of each session (Dorna). Best lap and the tyres used on it: official FIM PDFs. Long-run pace: median of the clean laps in long runs (5 flying laps or more); blank if the rider did none. Every rider runs their own programme and fuel load, so long-run pace only compares within the same session.

How it’s calculated

For each session with lap data (since 2018) and each rider, two readings. Time attack: their best valid lap (neither cancelled nor a pit lap), with the tyre they were on, and the gap to the best in the session in seconds and in %. Race sim: the median of the clean laps from their long runs (at least 5 consecutive fast laps; in the race and sprint, the whole race), with a minimum of 4 laps, and the gap to the best long-run pace of the session. Top speed and the % of laps done on slicks (below 100 means the track was wet) are also added.

Keep in mind. If a rider has not done any long run, their race sim is left blank. Compare only within the same session: each team tests different things (fuel, tyres, maps) and a long run on old rubber is not comparable with one on fresh rubber.

Long-run pace in practice

Pending · no data yet

Who will make it to Q2

C21a
Pending · no data yet

Pole and front row

C21
Pending · no data yet

Grid penalties

Pending · no data yet

Sprint forecast

C13s

Win and podium chances in Saturday’s sprint, based on the grid.

Pending · no data yet

Race forecast

C13

Win, podium and top-10 probabilities with an 80% range.

Pending · no data yet

What the sprint changed

C13b

Who rises and who drops in the race forecast after the sprint.

Pending · no data yet

Sprint pace

Pending · no data yet
Preview

Before the race

What to expect this weekend: race and qualifying outlook, the weight of the grid and the weather.

Who rules each sector

C6
S1 · M. MarquezS2 · MorbidelliS3 · M. MarquezS4 · Bagnaia

Finish line S1 S2 S3 S4 · 5,426 m per lap

Approximate sectors: estimated from the time spent in each sector (typical error 5 to 10% of a lap) until we have the official split points.

© OpenStreetMap contributors

Fastest per sector: 2018–2026

Median gap to the fastest rider in each sector within each session, across all seasons at this circuit; active riders only. The name on the layout is the sector leader. Sector split points on the map are approximate.

How it’s calculated

Sector map

The lap is divided into the 4 official timing sectors. In each dry session (laps on slicks, since 2018), for each rider with at least 3 clean laps their best time in each sector is taken and compared with the best in the session for that sector: 0% is the fastest, 0.5% means half a percent slower. Then the median across all sessions is taken (at least 3 in total since 2018, at least 2 in a given season). To draw the sectors on the track layout, where each sector starts and ends is approximated from how the time is split: if sector 1 takes 25% of the lap, it covers the first 25% of the layout (based on clean race laps from the most recent season).

Keep in mind. A sector is a different physical stretch at each circuit: it tells you where a rider is fast, not whether they are good on the brakes or through corners. The drawn boundaries are approximate (the typical error is 5-10% of the lap) because they assume the same average speed in all sectors, until the official splits are loaded by hand.

Circuit layout

The track drawing comes from OpenStreetMap: of all the segments tagged as a race track, the closed circuit whose length is closest to the official one is taken, the direction of racing is deduced from the one-way tags (or from the number of right and left corners) and the finish line is placed on the pit lane. The elevation of each point comes from a smoothed digital terrain model (Copernicus, 90 m cells, via Open-Meteo), and enables the 3D relief. There are currently 25 circuits. © OpenStreetMap contributors (ODbL licence).

Keep in mind. The elevation is that of the terrain at a 90 m resolution, not measured on the asphalt: it is useful for seeing climbs and descents, not for giving exact gradients. The position of the sectors on the layout is approximate (see “Sector map”).

A track for grid position, or an open one?

C15

In between: the grid matters, but there is room to come back.

57/100
Position index
14%
Pole wins
48%
Front row on the podium
0.77
Grid ↔ result

When two teammates disagree between pace and grid, pace wins 0% of the time (between 0% and 56%; 3 cases).

Descriptive, over 7 races (2018–2025). 100 = the track where the grid matters most; 0 = the most open. Within a team, practice pace tells who will finish ahead 7 times in 10, but when the faster teammate qualifies behind, they finish behind 6 times in 10: grid position weighs more than pace.

How it’s calculated

For each circuit, using all races since 2018 with at least 8 classified finishers (and a minimum of 3 races), it measures how closely the finishing order resembles the grid (from 0 = no relationship to 1 = identical), how many places riders move on average, how much the race shuffles on the first lap and how much from the first lap to the flag, how often the pole-sitter wins and how many podiums come from the front row. The 0-to-100 index combines two things in equal parts: how faithful the result is to the grid and how little the race reshuffles after the first lap; it is a ranking between circuits (100 = the most “track-position” circuit, where the grid rules; 0 = the most open). It also includes, between teammates, when practice pace and the grid say different things, what % of the time the one with more pace finishes ahead, with its margin of error.

Keep in mind. It is descriptive: it does not feed into the forecast (it was tested and does not improve it). The “pace wins” figure is based on only 5-17 cases per circuit and has a very wide margin of error: treat it as indicative.

How they arrive in the standings

Pending · no data yet

The last race here in numbers

Pending · no data yet

Race pace at the last edition

C1
Pending · no data yet

Winners here

  • 2025Marc MarquezDucati
  • 2024Francesco BagnaiaDucati
  • 2023Fabio Di GiannantonioDucati
  • 2022Enea BastianiniDucati
  • 2021Maverick ViñalesYamaha
  • 2019Andrea DoviziosoDucati
  • 2018Andrea DoviziosoDucati
  • 2017Maverick ViñalesYamaha

Attrition here

Average here 17% · global 19%
YearDNFs%
20254/2218%
20241/225%
20232/2110%
20226/2425%
20213/2214%
20193/2313%
How it’s calculated

For each full-length race, how many riders who took the start were not classified (crash, mechanical failure, disqualification or not completing enough laps) and what % of the field they represent. Those who do not start count neither as starters nor as retirements. It is the same definition of retirement used by the forecast.

Keep in mind. It does not distinguish the reason for the retirement: a solo crash, a multi-rider pile-up at the first corner and a mechanical failure all count the same.

Tyres at the last edition

Pending · no data yet