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Round 05 · 2021

MonacoMonaco Grand Prix

Monte Carlo, Monaco20–23 May

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Drawn from car positions, 2026 FP1
  1. Practice 1
    Data published
    track 39° ·air 20° ·55% hum ·0.7 km/h wind
  2. Practice 2
    Data published
    track 47° ·air 22° ·35% hum ·0.7 km/h wind
  3. Practice 3
    Data published
    track 28° ·air 18° ·71% hum ·0.7 km/h wind
  4. Qualifying
    Data published
    track 33° ·air 19° ·73% hum ·0.7 km/h wind
    Fantasy lock
  5. Grand Prix
    Data published
    track 37° ·air 21° ·62% hum ·1.1 km/h wind

Times in UTC

Grand Prix result

PosDriverTeamGridMovedTime / gapPts
1VERRed Bull Racing211:38:56.82025
2SAIFerrari42+8.96818
3NORMcLaren52+19.42715
4PERRed Bull Racing95+20.49012
5VETAston Martin83+52.59110
6GASAlphaTauri6—+53.8968
7HAMMercedes7—+68.2317
8STRAston Martin135+1 Lap4
9OCOAlpine112+1 Lap2
10GIOAlfa Romeo Racing10—+1 Lap1
11RAIAlfa Romeo Racing143+1 Lap
12RICMcLaren12—+1 Lap
13ALOAlpine174+1 Lap
14RUSWilliams151+1 Lap
15LATWilliams183+1 Lap
16TSUAlphaTauri16—+1 Lap
17MAZHaas F1 Team192+3 Laps
18MSCHaas F1 Team202+3 Laps
19BOTMercedes316Wheel nut
20LECFerrari119Driveshaft

Qualifying

PosDriverQ1Q2Q3Gap to pole
1LEC1:11.1131:10.5971:10.346
2VER1:11.1241:10.6501:10.576+0.230
3BOT1:10.9381:10.6951:10.601+0.255
4SAI1:11.3241:10.8061:10.611+0.265
5NOR1:11.3211:11.0311:10.620+0.274
6GAS1:11.5601:11.1791:10.900+0.554
7HAM1:11.6221:11.1161:11.095+0.749
8VET1:12.0781:11.3091:11.419+1.073
9PER1:11.6441:11.0191:11.573+1.227
10GIO1:11.6581:11.4091:11.779+1.433
11OCO1:11.7401:11.486—+1.140
12RIC1:11.7471:11.598—+1.252
13STR1:11.9791:11.600—+1.254
14RAI1:11.8991:11.642—+1.296
15RUS1:12.0161:11.830—+1.484
16TSU1:12.096——+1.750
17ALO1:12.205——+1.859
18LAT1:12.366——+2.020
19MAZ1:12.958——+2.612
—MSC———

How the weekend has moved

Practice 11:12.487
Practice 21:11.684−0.803
Practice 31:11.294−0.390
Qualifying1:10.346−0.948
Grand Prix1:12.909+2.563

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.

Monte Carlo in earlier seasons

20211:11.294
20191:11.118−0.176
20181:11.786+0.492

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

PER1:12.487

Single-lap pace

PER1:12.487—
SAI1:12.606+0.119
VER1:12.648+0.161
GAS1:12.929+0.442
HAM1:12.995+0.508
BOT1:13.131+0.644
NOR1:13.236+0.749
VET1:13.732+1.245
TSU1:13.746+1.259
RAI1:14.081+1.594
STR1:14.090+1.603
GIO1:14.106+1.619
ALO1:14.205+1.718
LAT1:14.268+1.781
RIC1:14.281+1.794
OCO1:14.320+1.833
MAZ1:14.616+2.129
MSC1:14.801+2.314
RUS1:14.840+2.353
LEC1:19.618+7.131

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
PERS5*1:12.982—±0.144—
BOTM5*1:14.123+1.141±0.294—
VERH6*1:14.382+1.400±0.407—
TSUS5*1:14.414+1.432±0.474—
STRM5*1:14.926+1.944±0.201—
OCOM5*1:14.955+1.973±0.678—
VETH6*1:15.176+2.194±0.459—
MAZS5*1:15.582+2.600±0.690—
MSCS5*1:15.585+2.603±0.112—
LATS5*1:15.698+2.716±0.698—
HAMH5*1:15.771+2.789±0.668—
RICM6*1:15.836+2.854±1.381—
RAIH5*1:16.096+3.114±0.283—
NORM6*1:16.371+3.389±1.459—
ALOH7*1:16.570+3.588±0.440—

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
PER19.06833.93219.3581:12.3581:12.4870.129
VER19.01434.23919.3061:12.5591:12.6480.089
SAI19.05434.17219.3491:12.5751:12.6060.031
GAS19.24134.02519.4371:12.7031:12.9290.226
HAM19.25334.13419.5431:12.9301:12.9950.065
BOT19.32634.40519.4001:13.1311:13.1310.000
NOR19.28334.42219.5041:13.2091:13.2360.027
VET19.18334.45419.6871:13.3241:13.7320.408
TSU19.30434.51319.6341:13.4511:13.7460.295
STR19.63034.71419.6401:13.9841:14.0900.106
GIO19.55434.75219.7561:14.0621:14.1060.044
RAI19.57334.67019.8381:14.0811:14.0810.000
ALO19.69034.66719.7841:14.1411:14.2050.064
OCO19.62934.72819.8491:14.2061:14.3200.114
RIC19.51334.92319.7851:14.2211:14.2810.060
LAT19.64634.79019.8251:14.2611:14.2680.007
MAZ19.69934.86919.8671:14.4351:14.6160.181
MSC19.69534.94519.9701:14.6101:14.8010.191
RUS19.59334.97720.1241:14.6941:14.8400.146
LEC20.48936.56022.5691:19.6181:19.6180.000

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

SSoft — referenceH+1.015(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 RacingPERahead of VER+0.161
FerrariSAIahead of LEC+7.012
AlphaTauriGASahead of TSU+0.817
MercedesHAMahead of BOT+0.136
McLarenNORahead of RIC+1.045
Aston MartinVETahead of STR+0.358
Alfa Romeo RacingRAIahead of GIO+0.025
AlpineALOahead of OCO+0.115
WilliamsLATahead of RUS+0.572
Haas F1 TeamMAZahead of MSC+0.185

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

Stints and compounds

PER1719
SAI131513
VER41619
GAS15139
HAM8941813
BOT8141913
NOR91210
VET15126
TSU18147
RAI111010
STR15135
GIO101115
ALO1819
LAT715163
RIC13419
OCO18910
MAZ16116
MSC15164
RUS183131
LEC4
SSoftMMediumHHard

Practice 2

LEC1:11.684

Single-lap pace

LEC1:11.684—
SAI1:11.796+0.112
HAM1:12.074+0.390
VER1:12.081+0.397
BOT1:12.107+0.423
NOR1:12.379+0.695
GAS1:12.498+0.814
PER1:12.708+1.024
GIO1:12.746+1.062
VET1:12.982+1.298
RAI1:13.065+1.381
ALO1:13.175+1.491
STR1:13.195+1.511
OCO1:13.199+1.515
RIC1:13.257+1.573
RUS1:13.509+1.825
LAT1:13.593+1.909
MAZ1:14.407+2.723
MSC1:14.416+2.732
TSU1:14.829+3.145

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
VERM5*1:13.513—±0.303—
SAIH5*1:13.932+0.419±0.646—
PERM5*1:14.174+0.661±0.809—
LECM6*1:14.289+0.776±0.324—
NORM5*1:14.717+1.204±0.687—
VETM5*1:15.277+1.764±0.686—
STRM5*1:15.474+1.961±0.824—
BOTS5*1:15.775+2.262±0.264—
TSUM5*1:15.952+2.439±0.987—
OCOM5*1:16.124+2.611±0.747—
RAIS5*1:16.784+3.271±0.530—
RUSM7*1:16.860+3.347±0.543—
LATM6*1:17.353+3.840±0.976—

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
LEC18.90833.60319.1121:11.6231:11.6840.061
SAI18.81333.99918.9841:11.7961:11.7960.000
HAM18.86733.83819.1021:11.8071:12.0740.267
VER18.96333.83119.2361:12.0301:12.0810.051
BOT19.07133.99419.0041:12.0691:12.1070.038
NOR19.02233.96219.3371:12.3211:12.3790.058
GAS19.22733.70019.4451:12.3721:12.4980.126
GIO19.20434.04219.2811:12.5271:12.7460.219
PER19.10934.10819.3861:12.6031:12.7080.105
RAI19.25334.27519.3741:12.9021:13.0650.163
ALO19.31634.14819.4491:12.9131:13.1750.262
VET19.24034.34919.3881:12.9771:12.9820.005
OCO19.45634.27719.4191:13.1521:13.1990.047
STR19.30634.47919.4101:13.1951:13.1950.000
RIC19.24334.53719.4771:13.2571:13.2570.000
RUS19.32034.37319.5911:13.2841:13.5090.225
LAT19.45934.50019.5191:13.4781:13.5930.115
MSC19.61434.77319.7271:14.1141:14.4160.302
MAZ19.68334.71419.8941:14.2911:14.4070.116
TSU19.84134.95220.0231:14.8161:14.8290.013

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+0.981(12 drivers ran both)Honly 1 driver ran both — too few to price

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

FerrariLECahead of SAI+0.112
MercedesHAMahead of BOT+0.033
Red Bull RacingVERahead of PER+0.627
McLarenNORahead of RIC+0.878
AlphaTauriGASahead of TSU+2.331
Alfa Romeo RacingGIOahead of RAI+0.319
Aston MartinVETahead of STR+0.213
AlpineALOahead of OCO+0.024
WilliamsRUSahead of LAT+0.084
Haas F1 TeamMAZahead of MSC+0.009

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

Stints and compounds

LEC161111
SAI141718
HAM121032
VER1296
BOT11839
NOR1185
GAS9397
PER1194
GIO1099
VET1195
RAI111010
ALO1197
STR1286
OCO9118
RIC661111
RUS71411
LAT81112
MAZ10106
MSC9106
TSU11
SSoftMMediumHHard

Practice 3

VER1:11.294

Single-lap pace

VER1:11.294—
SAI1:11.341+0.047
LEC1:11.552+0.258
BOT1:11.765+0.471
PER1:11.817+0.523
NOR1:11.988+0.694
HAM1:12.020+0.726
RAI1:12.298+1.004
GAS1:12.357+1.063
VET1:12.537+1.243
GIO1:12.539+1.245
STR1:12.700+1.406
RIC1:12.959+1.665
MSC1:13.139+1.845
ALO1:13.329+2.035
MAZ1:13.390+2.096
RUS1:13.447+2.153
LAT1:13.475+2.181
TSU1:13.522+2.228
OCO1:13.614+2.320

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
LECS6*1:12.296—±0.254—
SAIS6*1:12.543+0.247±0.415—
PERM5*1:13.162+0.866±1.045—
STRS5*1:13.703+1.407±0.824—
VETS6*1:14.002+1.706±0.600—
RAIS5*1:14.032+1.736±0.789—
RICS5*1:14.075+1.779±0.458—
TSUS81:14.491+2.195±0.218−0.034s
OCOS5*1:14.603+2.307±0.876—
LATM81:15.663+3.367±0.918+0.221s
RUSM81:15.917+3.621±0.827+0.039s

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
VER18.74033.48919.0381:11.2671:11.2940.027
SAI18.76033.51918.9961:11.2751:11.3410.066
LEC18.73833.57419.0671:11.3791:11.5520.173
BOT18.90733.65219.1501:11.7091:11.7650.056
PER18.85033.71419.1461:11.7101:11.8170.107
HAM18.92533.74019.2381:11.9031:12.0200.117
NOR19.07533.76719.1461:11.9881:11.9880.000
RAI19.06333.97519.1391:12.1771:12.2980.121
GIO19.18333.89919.1751:12.2571:12.5390.282
GAS19.14633.73919.3801:12.2651:12.3570.092
VET19.14433.99119.3421:12.4771:12.5370.060
STR19.21634.17819.2101:12.6041:12.7000.096
RIC19.17934.27619.5011:12.9561:12.9590.003
ALO19.13834.20619.6131:12.9571:13.3290.372
MSC19.39734.24019.5021:13.1391:13.1390.000
TSU19.18534.20619.7961:13.1871:13.5220.335
MAZ19.48334.33719.4701:13.2901:13.3900.100
RUS19.31134.40619.5981:13.3151:13.4470.132
LAT19.15434.70619.4601:13.3201:13.4750.155
OCO19.49534.34319.5931:13.4311:13.6140.183

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+0.490(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+0.523
FerrariSAIahead of LEC+0.211
MercedesBOTahead of HAM+0.255
McLarenNORahead of RIC+0.971
Alfa Romeo RacingRAIahead of GIO+0.241
AlphaTauriGASahead of TSU+1.165
Aston MartinVETahead of STR+0.163
Haas F1 TeamMSCahead of MAZ+0.251
AlpineALOahead of OCO+0.285
WilliamsRUSahead of LAT+0.028

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

Stints and compounds

VER117
SAI15165
LEC16145
BOT1227
PER1116
NOR12512
HAM1027
RAI1266
GAS15157
VET1347
GIO1155
STR1255
RIC1374
MSC596
ALO757
MAZ587
RUS141761
LAT166
TSU1947
OCO117
SSoftMMediumHHard