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Round 10 · 2022

United KingdomBritish Grand Prix

Silverstone, United Kingdom1–3 Jul

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Drawn from car positions, 2026 FP1
  1. Practice 1
    Data published
    track 25° ·air 16° ·71% hum ·6.5 km/h windwet
  2. Practice 2
    Data published
    track 30° ·air 19° ·51% hum ·14.4 km/h wind
  3. Practice 3
    Data published
    track 25° ·air 17° ·66% hum ·16.6 km/h wind
  4. Qualifying
    Data published
    track 20° ·air 14° ·89% hum ·9.7 km/h windwet
    Fantasy lock
  5. Grand Prix
    Data published
    track 30° ·air 18° ·60% hum ·5.4 km/h windwet

Times in UTC

Grand Prix result

PosDriverTeamGridMovedTime / gapPts
1SAIFerrari12:17:50.31125
2PERRed Bull Racing42+3.77918
3HAMMercedes52+6.22516
4LECFerrari31+8.54612
5ALOAlpine72+9.57110
6NORMcLaren6+11.9438
7VERRed Bull Racing25+18.7776
8MSCHaas F1 Team1911+18.9954
9VETAston Martin189+22.3562
10MAGHaas F1 Team177+24.5901
11STRAston Martin209+26.147
12LATWilliams102+32.511
13RICMcLaren141+32.817
14TSUAlphaTauri131+40.910
15OCOAlpine15Fuel pump
16GASAlphaTauri115Collision damage
17BOTAlfa Romeo125Gearbox
18RUSMercedes810Collision
19ZHOAlfa Romeo910Collision
20ALBWilliams164Collision

Qualifying

PosDriverQ1Q2Q3Gap to pole
1SAI1:40.1901:41.6021:40.983
2VER1:39.1291:40.6551:41.055+0.072
3LEC1:39.8461:41.2471:41.298+0.315
4PER1:40.5211:42.5131:41.616+0.633
5HAM1:40.4281:41.0621:41.995+1.012
6NOR1:41.5151:41.8211:42.084+1.101
7ALO1:41.5981:42.2091:42.116+1.133
8RUS1:40.0281:41.7251:42.161+1.178
9ZHO1:40.7911:42.6401:42.719+1.736
10LAT1:41.9981:43.2732:03.095+22.112
11GAS1:41.6801:43.702+2.719
12BOT1:41.3961:44.232+3.249
13TSU1:41.8931:44.311+3.328
14RIC1:41.9331:44.355+3.372
15OCO1:41.7301:45.190+4.207
16ALB1:42.078+1.095
17MAG1:42.159+1.176
18VET1:42.666+1.683
19MSC1:42.708+1.725
20STR1:43.430+2.447

How the weekend has moved

Practice 11:42.249
Practice 21:28.942−13.307
Practice 31:27.901−1.041
Qualifying1:39.129+11.228
Grand Prix1:30.510−8.619

Fastest lap of each session, the change from the session before, and the midfield's median fuel-corrected long run. Times normally tumble as the track rubbers in.

Silverstone in earlier seasons

20221:27.901
20211:27.035−0.866
20191:25.905−1.996
20181:26.722−1.179

Fastest practice lap per season at this circuit. Layout changes, resurfacing and weather all move these numbers, so read them as context rather than a like-for-like comparison.

Practice 1

BOT1:42.249

Single-lap pace

BOT1:42.249
HAM1:42.781+0.532
SAI1:42.967+0.718
LEC1:43.801+1.552
MSC1:43.895+1.646
NOR1:44.337+2.088
ZHO1:46.171+3.922
MAG1:48.161+5.912
TSU1:49.972+7.723
STR1:51.243+8.994
RIC1:55.899+13.650
VET1:56.216+13.967

Best lap regardless of fuel load or compound — a sighting shot, not a form guide.

Sectors and the lap they could have done

DriverS1S2S3Ideal lapBest lapLeft out
HAM29.37045.30025.5721:40.2421:42.7812.539
BOT31.97642.28527.9881:42.2491:42.2490.000
SAI32.62942.34627.9921:42.9671:42.9670.000
LEC32.73042.79328.0021:43.5251:43.8010.276
MSC32.18043.12328.5921:43.8951:43.8950.000
ZHO33.75744.30028.1141:46.1711:46.1710.000
MAG34.34445.03828.7791:48.1611:48.1610.000
STR34.69046.09630.4571:51.2431:51.2430.000
TSU34.71346.83829.8221:51.3731:51.3730.000
VET35.51449.21234.4421:59.1681:59.1680.000

Best sector times are usually set on different laps, so their sum — the ideal lap — is quicker than anyone's actual best. The last column is the time left out there. Purple marks the session's fastest sector.

What the tyres are worth here

Measured within each driver — only drivers who set a representative time on both compounds count — then averaged, so this isn't distorted by who happened to run which tyre. A lap counts only if it is within 2% of that driver's own best of the session, which keeps genuine runs on a slower tyre while dropping in-laps and aborted runs that would otherwise masquerade as a compound's best. A compound fewer than three drivers tried is listed but not priced. Even so, these laps aren't all qualifying simulations, so read this as the order of the compounds rather than an exact price.

Team-mates, head to head

Alfa RomeoBOTahead of ZHO+3.922
FerrariSAIahead of LEC+0.834
Haas F1 TeamMSCahead of MAG+4.266
McLarenNORahead of RIC+11.562
Aston MartinSTRahead of VET+4.973

Same car, so the gap on their best lap is the clearest read on the driver available.

Stints and compounds

BOT531
HAM1233
SAI14111
LEC4111
MSC3
NOR22
ZHO31
MAG3
TSU32
STR32
RIC21
VET32
OCO1
RUS11
ALO1
PER12
GAS12
LAT1
ALB1
VER12
SSoftMMediumIInter

Practice 2

SAI1:28.942

Single-lap pace

SAI1:28.942
HAM1:29.105+0.163
NOR1:29.118+0.176
VER1:29.149+0.207
LEC1:29.404+0.462
ALO1:29.695+0.753
PER1:29.753+0.811
RUS1:29.799+0.857
RIC1:29.902+0.960
STR1:29.942+1.000
BOT1:30.000+1.058
VET1:30.057+1.115
OCO1:30.238+1.296
ALB1:30.263+1.321
ZHO1:30.271+1.329
TSU1:30.338+1.396
MAG1:30.480+1.538
GAS1:30.510+1.568
MSC1:30.609+1.667
LAT1:31.326+2.384

Best lap regardless of fuel load or compound — a sighting shot, not a form guide.

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
VETH5*1:33.397±1.247
SAIS6*1:33.857+0.460±0.617
LECM7*1:33.977+0.580±0.370
HAMM5*1:34.088+0.691±0.465
RUSH6*1:34.469+1.072±0.580
ZHOM5*1:34.807+1.410±0.771
RICS7*1:34.926+1.529±0.262
NORH111:35.060+1.663±0.255+0.004s
BOTH81:35.185+1.788±0.305+0.073s
MAGS81:35.684+2.287±0.360+0.087s
GASH6*1:35.688+2.291±0.474
MSCM101:35.734+2.337±0.601+0.129s
LATM6*1:35.801+2.404±0.550
TSUS81:35.815+2.418±0.375+0.059s

Each driver's longest clean stint, using green-flag laps only. Cool-down laps go first (anything more than 7% slower than that stint's best), then laps sitting well above the stint's own trend — traffic and mistakes — and a stint is discarded entirely if what remains isn't one continuous run. Times are corrected for fuel burn at 60 ms per lap, measured from 2024 race stints rather than assumed. Runs under eight laps (marked *) get no degradation figure, because a trend through so few laps is noise. Teams don't publish fuel loads, and 15 kg is worth about 0.4s a lap, so read these as driver groupings rather than exact gaps, and compare runs on the same compound.

Sectors and the lap they could have done

DriverS1S2S3Ideal lapBest lapLeft out
SAI28.43936.08424.2941:28.8171:28.9420.125
HAM28.70236.04424.3591:29.1051:29.1050.000
NOR28.48136.17324.4641:29.1181:29.1180.000
VER28.59936.10524.4451:29.1491:29.1490.000
LEC28.72836.04324.3931:29.1641:29.4040.240
ALO28.70036.29524.7001:29.6951:29.6950.000
PER28.79536.37424.5841:29.7531:29.7530.000
RUS28.56836.60524.5851:29.7581:29.7990.041
STR28.59036.52924.6751:29.7941:29.9420.148
RIC28.72036.51224.6701:29.9021:29.9020.000
VET28.76636.60724.5921:29.9651:30.0570.092
BOT28.93736.37724.6821:29.9961:30.0000.004
OCO28.89636.53524.6771:30.1081:30.2380.130
ALB28.57436.85624.7541:30.1841:30.2630.079
MSC28.81136.76624.6681:30.2451:30.6090.364
ZHO28.92336.58924.7591:30.2711:30.2710.000
TSU28.67636.71524.9471:30.3381:30.3380.000
MAG28.70936.92824.7011:30.3381:30.4800.142
GAS28.94636.69924.8651:30.5101:30.5100.000
LAT28.75837.09025.0501:30.8981:31.3260.428

Best sector times are usually set on different laps, so their sum — the ideal lap — is quicker than anyone's actual best. The last column is the time left out there. Purple marks the session's fastest sector.

What the tyres are worth here

SSoft — referenceM+0.843(8 drivers ran both)H+1.580(4 drivers ran both)

Measured within each driver — only drivers who set a representative time on both compounds count — then averaged, so this isn't distorted by who happened to run which tyre. A lap counts only if it is within 2% of that driver's own best of the session, which keeps genuine runs on a slower tyre while dropping in-laps and aborted runs that would otherwise masquerade as a compound's best. A compound fewer than three drivers tried is listed but not priced. Even so, these laps aren't all qualifying simulations, so read this as the order of the compounds rather than an exact price.

Team-mates, head to head

FerrariSAIahead of LEC+0.462
MercedesHAMahead of RUS+0.694
McLarenNORahead of RIC+0.784
Red Bull RacingVERahead of PER+0.604
AlpineALOahead of OCO+0.543
Aston MartinSTRahead of VET+0.115
Alfa RomeoBOTahead of ZHO+0.271
WilliamsALBahead of LAT+1.063
AlphaTauriTSUahead of GAS+0.172
Haas F1 TeamMAGahead of MSC+0.129

Same car, so the gap on their best lap is the clearest read on the driver available.

Stints and compounds

SAI113383
HAM948
NOR104114
VER837
LEC93310
ALO973
PER34334
RUS85484
RIC10511
STR107
BOT755111
VET1037
OCO75
ALB815
ZHO71019
TSU11711
MAG9711
GAS1279
MSC9713
LAT86103
SSoftMMediumHHard

Practice 3

VER1:27.901

Single-lap pace

VER1:27.901
PER1:28.311+0.410
LEC1:28.348+0.447
RUS1:28.426+0.525
HAM1:28.488+0.587
SAI1:28.689+0.788
NOR1:29.102+1.201
BOT1:29.185+1.284
MSC1:29.510+1.609
ALO1:29.520+1.619
OCO1:29.552+1.651
VET1:29.593+1.692
ZHO1:29.752+1.851
ALB1:29.780+1.879
GAS1:29.885+1.984
STR1:29.892+1.991
TSU1:30.039+2.138
RIC1:30.293+2.392
LAT1:30.489+2.588
MAG1:30.523+2.622

Best lap regardless of fuel load or compound — a sighting shot, not a form guide.

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
HAMS5*1:29.360±0.305
GASM5*1:31.555+2.195±0.355
TSUM5*1:31.650+2.290±0.887
ALBS6*1:32.465+3.105±1.143
OCOS7*1:34.195+4.835±0.711
ALOS5*1:34.516+5.156±0.326

Each driver's longest clean stint, using green-flag laps only. Cool-down laps go first (anything more than 7% slower than that stint's best), then laps sitting well above the stint's own trend — traffic and mistakes — and a stint is discarded entirely if what remains isn't one continuous run. Times are corrected for fuel burn at 60 ms per lap, measured from 2024 race stints rather than assumed. Runs under eight laps (marked *) get no degradation figure, because a trend through so few laps is noise. Teams don't publish fuel loads, and 15 kg is worth about 0.4s a lap, so read these as driver groupings rather than exact gaps, and compare runs on the same compound.

Sectors and the lap they could have done

DriverS1S2S3Ideal lapBest lapLeft out
VER28.14635.54624.1321:27.8241:27.9010.077
LEC28.27935.56724.2831:28.1291:28.3480.219
PER28.15735.84324.3111:28.3111:28.3110.000
RUS28.28435.84024.2551:28.3791:28.4260.047
HAM28.35135.85524.2081:28.4141:28.4880.074
SAI28.33336.02224.3181:28.6731:28.6890.016
NOR28.58336.03524.4841:29.1021:29.1020.000
BOT28.35536.33624.4341:29.1251:29.1850.060
ALO28.68036.16524.5911:29.4361:29.5200.084
OCO28.61236.18624.6831:29.4811:29.5520.071
MSC28.42936.61624.4651:29.5101:29.5100.000
VET28.54136.42524.6191:29.5851:29.5930.008
ALB28.45336.30124.8961:29.6501:29.7800.130
ZHO28.66936.38124.6181:29.6681:29.7520.084
STR28.53336.58724.7421:29.8621:29.8920.030
GAS28.67836.42424.7831:29.8851:29.8850.000
TSU28.74536.46924.8251:30.0391:30.0390.000
MAG28.40136.93924.7491:30.0891:30.5230.434
RIC28.67236.66824.7921:30.1321:30.2930.161
LAT28.71236.78424.9841:30.4801:30.4890.009

Best sector times are usually set on different laps, so their sum — the ideal lap — is quicker than anyone's actual best. The last column is the time left out there. Purple marks the session's fastest sector.

What the tyres are worth here

SSoft — referenceM+0.947(4 drivers ran both)

Measured within each driver — only drivers who set a representative time on both compounds count — then averaged, so this isn't distorted by who happened to run which tyre. A lap counts only if it is within 2% of that driver's own best of the session, which keeps genuine runs on a slower tyre while dropping in-laps and aborted runs that would otherwise masquerade as a compound's best. A compound fewer than three drivers tried is listed but not priced. Even so, these laps aren't all qualifying simulations, so read this as the order of the compounds rather than an exact price.

Team-mates, head to head

Red Bull RacingVERahead of PER+0.410
FerrariLECahead of SAI+0.341
MercedesRUSahead of HAM+0.062
McLarenNORahead of RIC+1.191
Alfa RomeoBOTahead of ZHO+0.567
Haas F1 TeamMSCahead of MAG+1.013
AlpineALOahead of OCO+0.032
Aston MartinVETahead of STR+0.299
WilliamsALBahead of LAT+0.709
AlphaTauriGASahead of TSU+0.154

Same car, so the gap on their best lap is the clearest read on the driver available.

Stints and compounds

VER864
PER33411
LEC37353
RUS1083
HAM1248
SAI33573
NOR45164
BOT7373
MSC2531433
ALO758
OCO1086
VET1228183
ZHO773
ALB1183
GAS11111
STR1228184
TSU11110
RIC534513
LAT763
MAG271333
SSoftMMediumHHard