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Round 05 · 2023

United StatesMiami Grand Prix

Miami, United States5–7 May

  1. Practice 1
    Data published
    track 49° ·air 30° ·46% hum ·9.7 km/h wind
  2. Practice 2
    Data published
    track 39° ·air 28° ·57% hum ·11.5 km/h wind
  3. Practice 3
    Data published
    track 47° ·air 29° ·56% hum ·10.8 km/h wind
  4. Qualifying
    Data published
    track 43° ·air 29° ·59% hum ·12.6 km/h wind
    Fantasy lock
  5. Grand Prix
    Data published
    track 35° ·air 27° ·60% hum ·14.4 km/h wind

Times in UTC

Grand Prix result

PosDriverTeamGridMovedTime / gapPts
1VERRed Bull Racing981:27:38.24126
2PERRed Bull Racing11+5.38418
3ALOAston Martin21+26.30515
4RUSMercedes62+33.22912
5SAIFerrari32+42.51110
6HAMMercedes137+51.2498
7LECFerrari7+52.9886
8GASAlpine53+55.6704
9OCOAlpine81+58.1232
10MAGHaas F1 Team46+62.9451
11TSUAlphaTauri176+64.309
12STRAston Martin186+64.754
13BOTAlfa Romeo103+71.637
14ALBWilliams113+72.861
15HULHaas F1 Team123+74.950
16ZHOAlfa Romeo142+78.440
17NORMcLaren161+87.717
18DEVAlphaTauri153+88.949
19PIAMcLaren19+20.510
20SARWilliams20+34.388

Qualifying

PosDriverQ1Q2Q3Gap to pole
1PER1:27.7131:27.3281:26.841
2ALO1:28.1791:27.0971:27.202+0.361
3SAI1:27.6861:27.1481:27.349+0.508
4MAG1:27.8091:27.6731:27.767+0.926
5GAS1:28.0611:27.6121:27.786+0.945
6RUS1:28.0861:27.7431:27.804+0.963
7LEC1:27.7131:26.9641:27.861+1.020
8OCO1:27.8721:27.4441:27.935+1.094
9VER1:27.3631:26.814+-0.027
10BOT1:27.8641:27.564+0.723
11ALB1:28.2341:27.795+0.954
12HUL1:27.9451:27.903+1.062
13HAM1:27.8461:27.975+1.134
14ZHO1:28.1801:28.091+1.250
15DEV1:28.3251:28.395+1.554
16NOR1:28.394+1.553
17TSU1:28.429+1.588
18STR1:28.476+1.635
19PIA1:28.484+1.643
20SAR1:28.577+1.736

How the weekend has moved

Practice 11:30.125
Practice 21:27.930−2.195
Practice 31:27.535−0.395
Qualifying1:26.814−0.721
Grand Prix1:29.708+2.894

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.

Miami in earlier seasons

20231:27.535
20221:29.938+2.403

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

RUS1:30.125

Single-lap pace

RUS1:30.125
HAM1:30.337+0.212
LEC1:30.449+0.324
VER1:30.549+0.424
SAI1:30.724+0.599
GAS1:31.104+0.979
ALO1:31.231+1.106
STR1:31.337+1.212
HUL1:31.392+1.267
OCO1:31.542+1.417
PER1:31.566+1.441
PIA1:31.810+1.685
MAG1:31.853+1.728
BOT1:31.902+1.777
ALB1:31.903+1.778
NOR1:31.997+1.872
ZHO1:32.134+2.009
TSU1:32.169+2.044
SAR1:32.619+2.494
DEV1:34.637+4.512

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
ALOS7*1:32.786±0.960
RUSM5*1:33.778+0.992±0.663
LECH5*1:33.946+1.160±1.222
NORS81:34.160+1.374±0.903+0.156s
HAMM5*1:34.661+1.875±0.350
PIAM6*1:34.886+2.100±0.489
SARS5*1:35.091+2.305±0.755
MAGM5*1:36.670+3.884±0.167

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
RUS30.54934.13725.4391:30.1251:30.1250.000
HAM30.51134.36225.3341:30.2071:30.3370.130
LEC30.51834.26225.5941:30.3741:30.4490.075
VER30.56034.44225.4611:30.4631:30.5490.086
SAI30.76234.43025.4791:30.6711:30.7240.053
GAS30.64434.68125.7101:31.0351:31.1040.069
HUL30.78234.73125.6541:31.1671:31.3920.225
ALO30.84434.80725.5301:31.1811:31.2310.050
STR30.92234.66925.7401:31.3311:31.3370.006
PER30.91034.88525.6261:31.4211:31.5660.145
OCO30.83534.86025.7741:31.4691:31.5420.073
PIA31.00335.05225.7551:31.8101:31.8100.000
MAG31.05234.95425.8271:31.8331:31.8530.020
BOT31.20234.74425.9261:31.8721:31.9020.030
ALB31.19035.12125.5921:31.9031:31.9030.000
ZHO31.01934.94725.9951:31.9611:32.1340.173
NOR30.92135.23025.8461:31.9971:31.9970.000
TSU31.37334.99225.8041:32.1691:32.1690.000
SAR31.56435.26725.6361:32.4671:32.6190.152
DEV32.57535.92526.0341:34.5341:34.6370.103

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+1.508(4 drivers ran both)H+1.440(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

MercedesRUSahead of HAM+0.212
FerrariLECahead of SAI+0.275
Red Bull RacingVERahead of PER+1.017
AlpineGASahead of OCO+0.438
Aston MartinALOahead of STR+0.106
Haas F1 TeamHULahead of MAG+0.461
McLarenPIAahead of NOR+0.187
Alfa RomeoBOTahead of ZHO+0.232
WilliamsALBahead of SAR+0.716
AlphaTauriTSUahead of DEV+2.468

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

Stints and compounds

RUS2385
HAM7485
LEC1247
VER9337
SAI1256
GAS929
ALO28212
STR10410
HUL86
OCO1512
PER9337
PIA3849
MAG8611
BOT118212
ALB93310
NOR17213
ZHO27112
TSU75412
SAR932310
DEV10
SSoftMMediumHHard

Practice 2

VER1:27.930

Single-lap pace

VER1:27.930
SAI1:28.315+0.385
LEC1:28.398+0.468
PER1:28.419+0.489
ALO1:28.660+0.730
NOR1:28.741+0.811
HAM1:28.858+0.928
STR1:28.930+1.000
OCO1:28.937+1.007
ALB1:29.046+1.116
GAS1:29.098+1.168
MAG1:29.171+1.241
ZHO1:29.181+1.251
BOT1:29.189+1.259
RUS1:29.216+1.286
PIA1:29.339+1.409
HUL1:29.393+1.463
TSU1:29.613+1.683
DEV1:29.928+1.998
SAR1:30.038+2.108

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
VER29.53433.35025.0461:27.9301:27.9300.000
SAI29.73633.52025.0591:28.3151:28.3150.000
PER29.66033.45025.2161:28.3261:28.4190.093
LEC29.81733.39925.1821:28.3981:28.3980.000
ALO29.76433.69125.0901:28.5451:28.6600.115
HAM29.85533.67825.1431:28.6761:28.8580.182
NOR29.61933.88825.2341:28.7411:28.7410.000
STR29.85833.64925.3191:28.8261:28.9300.104
RUS29.86833.63925.3491:28.8561:29.2160.360
OCO29.84733.85325.1741:28.8741:28.9370.063
HUL29.94133.72425.3081:28.9731:29.3930.420
ALB29.89233.74125.4131:29.0461:29.0460.000
GAS30.05733.84925.1701:29.0761:29.0980.022
BOT30.19633.68625.2531:29.1351:29.1890.054
MAG29.96933.99225.1781:29.1391:29.1710.032
ZHO30.09433.75925.3281:29.1811:29.1810.000
PIA30.07333.97225.2521:29.2971:29.3390.042
TSU30.18734.15025.2761:29.6131:29.6130.000
SAR30.51634.11825.1901:29.8241:30.0380.214
DEV30.36034.17325.3951:29.9281:29.9280.000

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 — referenceM+1.256(10 drivers ran both)H+1.270(5 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+0.489
FerrariSAIahead of LEC+0.083
Aston MartinALOahead of STR+0.270
McLarenNORahead of PIA+0.598
MercedesHAMahead of RUS+0.358
AlpineOCOahead of GAS+0.161
WilliamsALBahead of SAR+0.992
Haas F1 TeamMAGahead of HUL+0.222
Alfa RomeoZHOahead of BOT+0.008
AlphaTauriTSUahead of DEV+0.315

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

Stints and compounds

VER7655
SAI93374
LEC7535
PER83355
ALO8854
NOR532464
HAM9635
STR96134
OCO7945
ALB736145
GAS7735
MAG7555
ZHO98325
BOT718235
RUS7734
PIA55284
HUL7564
TSU7945
DEV86425
SAR6333165
SSoftMMediumHHard

Practice 3

VER1:27.535

Single-lap pace

VER1:27.535
LEC1:27.941+0.406
PER1:28.050+0.515
SAI1:28.125+0.590
OCO1:28.407+0.872
GAS1:28.428+0.893
BOT1:28.456+0.921
HUL1:28.497+0.962
ALB1:28.561+1.026
RUS1:28.606+1.071
MAG1:28.607+1.072
ALO1:28.618+1.083
HAM1:28.718+1.183
STR1:28.723+1.188
ZHO1:29.074+1.539
TSU1:29.179+1.644
SAR1:29.264+1.729
PIA1:29.375+1.840
NOR1:29.401+1.866
DEV1:29.447+1.912

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
SAIS6*1:33.469±0.440
LECS81:33.785+0.316±0.888+0.325s

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
VER29.17233.31924.9091:27.4001:27.5350.135
LEC29.61033.35324.9781:27.9411:27.9410.000
PER29.63633.43324.9371:28.0061:28.0500.044
SAI29.64433.41425.0671:28.1251:28.1250.000
GAS29.59433.62025.1041:28.3181:28.4280.110
OCO29.66833.54325.1521:28.3631:28.4070.044
HUL29.74533.69924.9851:28.4291:28.4970.068
ALO29.59433.63125.2061:28.4311:28.6180.187
BOT29.59633.82225.0381:28.4561:28.4560.000
HAM29.61033.73125.1201:28.4611:28.7180.257
MAG29.58233.72225.1841:28.4881:28.6070.119
ALB29.70633.73025.1251:28.5611:28.5610.000
RUS29.70233.76525.1391:28.6061:28.6060.000
STR29.88333.59825.2421:28.7231:28.7230.000
ZHO29.83933.81725.1711:28.8271:29.0740.247
TSU29.86234.01525.3021:29.1791:29.1790.000
SAR30.28633.69525.2291:29.2101:29.2640.054
PIA29.99833.82325.4481:29.2691:29.3750.106
NOR29.84934.00125.4951:29.3451:29.4010.056
DEV30.06734.09425.1951:29.3561:29.4470.091

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

Red Bull RacingVERahead of PER+0.515
FerrariLECahead of SAI+0.184
AlpineOCOahead of GAS+0.021
Alfa RomeoBOTahead of ZHO+0.618
Haas F1 TeamHULahead of MAG+0.110
WilliamsALBahead of SAR+0.703
MercedesRUSahead of HAM+0.112
Aston MartinALOahead of STR+0.105
AlphaTauriTSUahead of DEV+0.268
McLarenPIAahead of NOR+0.026

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

Stints and compounds

VER6363
LEC531035
PER36310
SAI53397
OCO7693
GAS74103
BOT63523
HUL88
ALB893
RUS9335
MAG68
ALO1118193
HAM336353
STR1119138
ZHO53533
TSU9128
SAR8453
PIA533313
NOR6174
DEV63193
SSoftMMediumHHard