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Round 06 · 2026

MonacoMonaco Grand Prix

Monte Carlo, Monaco5–7 Jun

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Drawn from car positions, 2026 FP1
  1. Practice 1
    Data published
    track 31° ·air 24° ·61% hum ·2.7 km/h windwet
  2. Practice 2
    Data published
    track 31° ·air 23° ·61% hum ·3.2 km/h windwet
  3. Practice 3
    Data published
    track 30° ·air 23° ·56% hum ·4.0 km/h windwet
  4. Qualifying
    Data published
    track 37° ·air 24° ·54% hum ·2.5 km/h wind
    Fantasy lock
  5. Grand Prix
    Data published
    track 37° ·air 24° ·62% hum ·2.5 km/h wind

Times in UTC

Grand Prix result

PosDriverTeamGridMovedTime / gapPts
1ANTMercedes12:23:31.24325
2HAMFerrari31+6.27118
3HADRed Bull Racing52+23.39415
4PIAMcLaren73+24.26112
5LAWRed Bull Racing105+26.55310
6LINRacing Bulls159+29.0108
7GASAlpine92+30.3696
8ALBWilliams113+33.4134
9OCOHaas F1 Team178+37.1402
10ALOAston Martin2111+41.8991
11BORAudi165+42.748
12RUSMercedes66+43.353
13HULAudi13+44.102
14COLAlpine14+48.964
15PERCadillac183+49.153
16SAIWilliams124Retired
17LECFerrari413Retired
18STRAston Martin224Retired
19NORMcLaren811Retired
20BEAHaas F1 Team191Retired
21BOTCadillac201Retired
22VERRed Bull Racing220Retired

Qualifying

PosDriverQ1Q2Q3Gap to pole
1ANT1:13.5991:12.7041:12.051
2VER1:13.4901:12.4991:12.094+0.043
3HAM1:13.7771:12.9341:12.279+0.228
4LEC1:13.2931:12.7741:12.351+0.300
5HAD1:14.4081:12.7221:12.434+0.383
6RUS1:14.2141:13.2381:12.445+0.394
7PIA1:14.1591:12.9831:12.624+0.573
8NOR1:13.6301:12.9191:12.765+0.714
9GAS1:14.4691:13.7621:13.226+1.175
10LAW1:14.4981:13.4711:13.412+1.361
11ALB1:14.3211:13.787+1.736
12SAI1:14.3481:13.815+1.764
13HUL1:13.9231:13.902+1.851
14COL1:14.5731:13.995+1.944
15LIN1:14.6851:14.248+2.197
16BOR1:14.683+2.632
17OCO1:14.722+2.671
18PER1:14.747+2.696
19BEA1:14.814+2.763
20BOT1:15.283+3.232
21ALO1:15.349+3.298
22STR1:16.061+4.010

How the weekend has moved

Practice 11:13.978
Practice 21:13.026−0.952
Practice 31:12.720−0.306
Qualifying1:12.051−0.669
Grand Prix1:13.481+1.430

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

20261:12.720
20211:11.294−1.426
20191:11.118−1.602
20181:11.786−0.934

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

LEC1:13.978

Single-lap pace

LEC1:13.978
HAM1:14.204+0.226
VER1:14.491+0.513
ANT1:14.537+0.559
RUS1:14.983+1.005
NOR1:15.291+1.313
HUL1:15.343+1.365
PIA1:15.565+1.587
BOR1:15.750+1.772
GAS1:15.828+1.850
ALB1:15.989+2.011
SAI1:16.041+2.063
HAD1:16.148+2.170
PER1:16.170+2.192
COL1:16.189+2.211
BEA1:16.292+2.314
OCO1:16.333+2.355
LIN1:16.389+2.411
LAW1:16.431+2.453
ALO1:16.678+2.700
BOT1:17.460+3.482
STR1:17.556+3.578

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
VERH6*1:16.852±0.766
LINH5*1:18.193+1.341±0.138
ALBH101:18.855+2.003±0.757−0.021s
LAWH5*1:18.912+2.060±0.888
OCOH6*1:19.030+2.178±0.993
COLH121:19.049+2.197±0.664+0.004s
BOTM5*1:19.332+2.480±1.102

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
LEC19.36934.85819.6291:13.8561:13.9780.122
HAM19.51834.89619.7901:14.2041:14.2040.000
VER19.53535.15719.6811:14.3731:14.4910.118
ANT19.52035.14519.8561:14.5211:14.5370.016
RUS19.51035.47319.9111:14.8941:14.9830.089
NOR19.70235.32720.1601:15.1891:15.2910.102
HUL19.81635.42519.9681:15.2091:15.3430.134
PIA19.76435.53320.0741:15.3711:15.5650.194
BOR19.73535.78520.0881:15.6081:15.7500.142
GAS19.93635.73820.1351:15.8091:15.8280.019
ALB20.07635.74220.0241:15.8421:15.9890.147
SAI19.91035.79520.3361:16.0411:16.0410.000
COL19.96135.90120.2291:16.0911:16.1890.098
HAD19.97035.90020.2781:16.1481:16.1480.000
LAW20.05635.90320.1901:16.1491:16.4310.282
PER20.19935.71820.2531:16.1701:16.1700.000
LIN20.01936.10120.0911:16.2111:16.3890.178
BEA20.11435.81420.3001:16.2281:16.2920.064
OCO20.07535.82120.3491:16.2451:16.3330.088
ALO20.16836.02320.3931:16.5841:16.6780.094
BOT20.62636.34620.4481:17.4201:17.4600.040
STR20.54836.36620.5711:17.4851:17.5560.071

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 — referenceMonly 2 drivers 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 HAM+0.226
Red Bull RacingVERahead of LAW+1.940
MercedesANTahead of RUS+0.446
McLarenNORahead of PIA+0.274
AudiHULahead of BOR+0.407
AlpineGASahead of COL+0.361
WilliamsALBahead of SAI+0.052
CadillacPERahead of BOT+1.290
Haas F1 TeamBEAahead of OCO+0.041
Aston MartinALOahead of STR+0.878

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

Stints and compounds

LEC41593
HAM12583
VER11510
ANT13873
RUS9983
NOR11493
HUL14103
PIA581483
BOR711103
GAS19103
ALB2193
SAI71293
HAD113
PER67573
COL2183
BEA18193
OCO1993
LIN18493
LAW117373
ALO489
BOT1593
STR1123
SSoftMMediumHHard

Practice 2

HAM1:13.026

Single-lap pace

HAM1:13.026
LEC1:13.137+0.111
VER1:13.194+0.168
RUS1:13.405+0.379
ANT1:13.529+0.503
HAD1:14.087+1.061
PIA1:14.088+1.062
HUL1:14.094+1.068
BOR1:14.359+1.333
BEA1:14.456+1.430
GAS1:14.497+1.471
SAI1:14.512+1.486
ALB1:14.600+1.574
LIN1:14.748+1.722
COL1:14.758+1.732
LAW1:14.785+1.759
OCO1:14.845+1.819
PER1:15.116+2.090
NOR1:15.274+2.248
ALO1:15.294+2.268
BOT1:15.759+2.733
STR1:16.174+3.148

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
LECM5*1:14.889±1.194
BORS5*1:14.962+0.073±0.140
GASS6*1:15.320+0.431±0.475
VERS7*1:16.738+1.849±0.263
OCOM5*1:16.741+1.852±0.603
LAWM5*1:17.025+2.136±1.363
HULM81:17.673+2.784±1.024−0.291s
STRS6*1:17.920+3.031±0.695
PERS5*1:18.762+3.873±0.715
PIAS5*1:19.053+4.164±1.448
BOTS5*1:19.705+4.816±0.335

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
LEC19.15934.39019.3351:12.8841:13.1370.253
HAM19.29534.36519.3661:13.0261:13.0260.000
VER19.25434.55019.3901:13.1941:13.1940.000
RUS19.18534.59319.5811:13.3591:13.4050.046
ANT19.22234.72119.4451:13.3881:13.5290.141
PIA19.52234.90819.5481:13.9781:14.0880.110
HAD19.40234.99719.6881:14.0871:14.0870.000
HUL19.50635.03619.5521:14.0941:14.0940.000
BOR19.42735.05219.6241:14.1031:14.3590.256
BEA19.57535.06619.7881:14.4291:14.4560.027
GAS19.51635.13119.7941:14.4411:14.4970.056
SAI19.58035.22819.7041:14.5121:14.5120.000
ALB19.80735.08319.7101:14.6001:14.6000.000
COL19.49435.33819.8041:14.6361:14.7580.122
OCO19.62035.27519.8371:14.7321:14.8450.113
LIN19.55235.38619.8101:14.7481:14.7480.000
LAW19.69835.26619.8211:14.7851:14.7850.000
PER19.78335.22220.0251:15.0301:15.1160.086
NOR19.95535.51019.7631:15.2281:15.2740.046
ALO19.92235.43419.9381:15.2941:15.2940.000
BOT19.94535.60520.1081:15.6581:15.7590.101
STR20.11035.65320.2801:16.0431:16.1740.131

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+0.885(17 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

FerrariHAMahead of LEC+0.111
Red Bull RacingVERahead of LAW+1.591
MercedesRUSahead of ANT+0.124
McLarenPIAahead of NOR+1.186
AudiHULahead of BOR+0.265
Haas F1 TeamBEAahead of OCO+0.389
AlpineGASahead of COL+0.261
WilliamsSAIahead of ALB+0.088
CadillacPERahead of BOT+0.643
Aston MartinALOahead of STR+0.880

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

Stints and compounds

HAM197415
LEC161415
VER10101014
RUS111464
ANT731645
HAD38814
PIA83884
HUL1010104
BOR921635
BEA141175
GAS91675
SAI951244
ALB171255
LIN141535
COL101065
LAW151335
OCO151145
PER14917
NOR62
ALO87834
BOT9118
STR1512
SSoftMMedium

Practice 3

ANT1:12.720

Single-lap pace

ANT1:12.720
LEC1:13.047+0.327
HAM1:13.051+0.331
RUS1:13.483+0.763
VER1:13.662+0.942
PIA1:13.698+0.978
BOR1:13.820+1.100
HAD1:13.877+1.157
NOR1:14.006+1.286
HUL1:14.050+1.330
OCO1:14.278+1.558
SAI1:14.336+1.616
GAS1:14.480+1.760
BEA1:14.487+1.767
LAW1:14.587+1.867
ALB1:14.801+2.081
LIN1:14.918+2.198
PER1:14.945+2.225
COL1:15.179+2.459
BOT1:15.451+2.731
ALO1:15.567+2.847
STR1:15.921+3.201

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
LECS7*1:15.253±1.101
HADS5*1:15.405+0.152±0.945
BEAS5*1:15.442+0.189±0.371
GASS6*1:15.460+0.207±0.751
OCOS5*1:15.608+0.355±0.558
HAMS81:15.648+0.395±0.791+0.126s
COLS7*1:16.521+1.268±0.831

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
ANT19.05934.26119.2901:12.6101:12.7200.110
LEC19.11234.38619.4751:12.9731:13.0470.074
HAM19.34634.38519.3201:13.0511:13.0510.000
RUS19.23534.44519.5081:13.1881:13.4830.295
VER19.26434.81219.4691:13.5451:13.6620.117
PIA19.39334.72419.4911:13.6081:13.6980.090
BOR19.39434.81819.5201:13.7321:13.8200.088
HUL19.56434.81819.4691:13.8511:14.0500.199
HAD19.46634.77719.6341:13.8771:13.8770.000
NOR19.50834.77219.6371:13.9171:14.0060.089
OCO19.70334.90319.6721:14.2781:14.2780.000
SAI19.61235.01319.7111:14.3361:14.3360.000
GAS19.49534.98319.8741:14.3521:14.4800.128
BEA19.49235.07919.8211:14.3921:14.4870.095
LAW19.65735.28319.6161:14.5561:14.5870.031
LIN19.61535.25719.7631:14.6351:14.9180.283
ALB19.74435.15919.8341:14.7371:14.8010.064
PER19.65835.27620.0111:14.9451:14.9450.000
COL19.71335.44019.8291:14.9821:15.1790.197
BOT20.03235.40720.0121:15.4511:15.4510.000
ALO19.85235.74219.9731:15.5671:15.5670.000
STR20.07235.75020.0991:15.9211:15.9210.000

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

MercedesANTahead of RUS+0.763
FerrariLECahead of HAM+0.004
McLarenPIAahead of NOR+0.308
AudiBORahead of HUL+0.230
Red Bull RacingHADahead of LAW+0.710
Haas F1 TeamOCOahead of BEA+0.209
WilliamsSAIahead of ALB+0.465
AlpineGASahead of COL+0.699
CadillacPERahead of BOT+0.506
Aston MartinALOahead of STR+0.354

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

Stints and compounds

ANT6673
LEC17465
HAM17454
RUS10364
VER5945
PIA10514
BOR71055
HAD510415
NOR8844
HUL1165
OCO1365
SAI1745
GAS1525
BEA126
LAW6310314
ALB1635
LIN48615
PER3475
COL165
BOT485
ALO11825
STR8563
SSoft