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Round 11 · 2021

HungaryHungarian Grand Prix

Budapest, Hungary30 Jul – 1 Aug

11A2345678910111212A1314
Drawn from car positions, 2026 FP1
  1. Practice 1
    Data published
    track 55° ·air 31° ·37% hum ·1.4 km/h wind
  2. Practice 2
    Data published
    track 62° ·air 32° ·33% hum ·1.1 km/h wind
  3. Practice 3
    Data published
    track 54° ·air 27° ·58% hum ·1.8 km/h wind
  4. Qualifying
    Data published
    track 60° ·air 29° ·46% hum ·2.2 km/h wind
    Fantasy lock
  5. Grand Prix
    Data published
    track 38° ·air 27° ·72% hum ·2.2 km/h windwet

Times in UTC

Grand Prix result

PosDriverTeamGridMovedTime / gapPts
1OCOAlpine872:04:43.19925
2HAMMercedes11+2.73518
3SAIFerrari1512+15.01815
4ALOAlpine95+15.65112
5GASAlphaTauri5—+63.61411
6TSUAlphaTauri1610+75.8038
7LATWilliams1811+77.9106
8RUSWilliams179+79.0944
9VERRed Bull Racing36+80.2442
10RAIAlfa Romeo Racing133+1 Lap1
11RICMcLaren11—+1 Lap
12MSCHaas F1 Team208+1 Lap
13GIOAlfa Romeo Racing——+1 Lap
14MAZHaas F1 Team195Collision
15NORMcLaren69Collision
16BOTMercedes214Collision
17PERRed Bull Racing413Collision
18LECFerrari711Collision
19STRAston Martin127Collision
20VETAston Martin1010Disqualified

Qualifying

PosDriverQ1Q2Q3Gap to pole
1HAM1:16.4241:16.5531:15.419
2BOT1:16.5691:16.7021:15.734+0.315
3VER1:16.2141:15.6501:15.840+0.421
4PER1:17.2331:16.4431:16.421+1.002
5GAS1:16.8741:16.3941:16.483+1.064
6NOR1:17.0811:16.3851:16.489+1.070
7LEC1:17.0841:16.5741:16.496+1.077
8OCO1:17.3671:16.7661:16.653+1.234
9ALO1:17.1231:16.5411:16.715+1.296
10VET1:17.1051:16.7941:16.750+1.331
11RIC1:17.6641:16.871—+1.452
12STR1:17.0381:16.893—+1.474
13RAI1:17.5531:17.564—+2.145
14GIO1:17.7761:17.583—+2.164
15SAI1:16.649——+1.230
16TSU1:17.919——+2.500
17RUS1:17.944——+2.525
18LAT1:18.036——+2.617
19MAZ1:18.922——+3.503
20MSC———

How the weekend has moved

Practice 11:17.555
Practice 21:17.012−0.543
Practice 31:16.826−0.186
Qualifying1:15.419−1.407
Grand Prix1:18.394+2.975

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.

Budapest in earlier seasons

20211:16.826
20201:15.437−1.389
20191:16.084−0.742
20181:16.170−0.656

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

VER1:17.555

Single-lap pace

VER1:17.555—
BOT1:17.616+0.061
HAM1:17.722+0.167
SAI1:18.115+0.560
GAS1:18.181+0.626
ALO1:18.385+0.830
LEC1:18.391+0.836
PER1:18.466+0.911
NOR1:18.649+1.094
STR1:18.755+1.200
OCO1:18.765+1.210
TSU1:18.770+1.215
VET1:18.989+1.434
RIC1:19.265+1.710
RUS1:19.724+2.169
LAT1:19.824+2.269
MSC1:20.383+2.828
KUB1:20.639+3.084
MAZ1:20.992+3.437
GIO1:21.889+4.334

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
OCOH81:20.719—±1.027+0.145s
HAMS5*1:23.238+2.519±0.394—
BOTH81:23.667+2.948±0.469+0.081s
SAIM5*1:24.006+3.287±0.665—
NORS7*1:24.322+3.603±0.469—
RICS5*1:24.436+3.717±0.918—
RUSH6*1:24.655+3.936±0.208—
ALOS7*1:24.763+4.044±0.379—
LATM7*1:24.788+4.069±0.389—
GASS5*1:24.826+4.107±0.302—
MSCS5*1:27.210+6.491±0.849—
MAZM6*1:27.333+6.614±1.186—

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
VER28.11127.57221.8481:17.5311:17.5550.024
HAM28.14827.61821.8361:17.6021:17.7220.120
BOT27.99227.65821.9661:17.6161:17.6160.000
GAS28.34727.72321.9891:18.0591:18.1810.122
SAI28.20327.81522.0971:18.1151:18.1150.000
ALO28.52827.62622.2311:18.3851:18.3850.000
LEC28.19128.06022.1401:18.3911:18.3910.000
PER28.55827.92521.9831:18.4661:18.4660.000
NOR28.44027.95222.2571:18.6491:18.6490.000
OCO28.55927.85622.2371:18.6521:18.7650.113
STR28.32828.19422.1881:18.7101:18.7550.045
TSU28.44628.15022.1361:18.7321:18.7700.038
VET28.43728.50422.0481:18.9891:18.9890.000
RIC28.55128.26822.4351:19.2541:19.2650.011
LAT28.45428.57422.5601:19.5881:19.8240.236
RUS28.63828.53722.5491:19.7241:19.7240.000
MSC28.93328.61822.7471:20.2981:20.3830.085
KUB28.91629.05822.6651:20.6391:20.6390.000
MAZ29.08429.03322.8751:20.9921:20.9920.000
GIO29.07929.56223.2481:21.8891:21.8890.000

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+1.095(5 drivers ran both)Monly 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+0.911
MercedesBOTahead of HAM+0.106
FerrariSAIahead of LEC+0.276
AlphaTauriGASahead of TSU+0.589
AlpineALOahead of OCO+0.380
McLarenNORahead of RIC+0.616
Aston MartinSTRahead of VET+0.234
WilliamsRUSahead of LAT+0.100
Haas F1 TeamMSCahead of MAZ+0.609
Alfa Romeo RacingKUBahead of GIO+1.250

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

Stints and compounds

VER95331
BOT3533111
HAM3333319
SAI7313217
GAS11871
ALO9710
LEC106133
PER3665
NOR9611
STR6649
OCO11159
TSU108
VET66235
RIC75528
RUS1533318
LAT16719
MSC1079
KUB1157
MAZ1139
GIO5
SSoftMMediumHHard

Practice 2

BOT1:17.012

Single-lap pace

BOT1:17.012—
HAM1:17.039+0.027
VER1:17.310+0.298
OCO1:17.759+0.747
PER1:17.824+0.812
GAS1:18.113+1.101
ALO1:18.169+1.157
VET1:18.228+1.216
NOR1:18.313+1.301
STR1:18.320+1.308
LEC1:18.370+1.358
SAI1:18.441+1.429
RIC1:18.737+1.725
RAI1:19.277+2.265
RUS1:19.292+2.280
LAT1:19.479+2.467
TSU1:19.671+2.659
MSC1:19.817+2.805
GIO1:20.186+3.174
MAZ1:21.881+4.869

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
PERM5*1:23.428—±0.503—
BOTM111:23.807+0.379±1.060+0.125s
VERM5*1:24.184+0.756±1.372—
VETS81:24.294+0.866±0.955+0.261s
RAIS5*1:24.376+0.948±1.029—
SAIS7*1:24.417+0.989±0.470—
LECS101:24.432+1.004±0.390+0.075s
ALOM81:24.456+1.028±0.484+0.155s
STRS81:24.570+1.142±1.060+0.298s
OCOS81:24.583+1.155±0.895+0.228s
GASS121:24.901+1.473±0.760+0.177s
RUSM121:25.167+1.739±0.685+0.106s
LATH111:25.361+1.933±0.320+0.060s
GIOM7*1:25.566+2.138±0.574—
MSCM81:27.155+3.727±0.649+0.014s
MAZH111:27.371+3.943±0.969+0.182s

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
BOT27.80827.23121.9731:17.0121:17.0120.000
HAM27.82227.47021.7471:17.0391:17.0390.000
VER28.16427.35221.7941:17.3101:17.3100.000
OCO28.22427.55321.9821:17.7591:17.7590.000
PER28.25527.68621.8281:17.7691:17.8240.055
GAS28.31227.78222.0191:18.1131:18.1130.000
ALO28.41527.70322.0511:18.1691:18.1690.000
VET28.25827.88422.0861:18.2281:18.2280.000
NOR28.29227.73022.2911:18.3131:18.3130.000
STR28.11227.94522.2631:18.3201:18.3200.000
LEC28.31727.87222.1811:18.3701:18.3700.000
SAI28.21227.80122.4281:18.4411:18.4410.000
RIC28.45828.09522.1601:18.7131:18.7370.024
RUS28.51328.27922.4061:19.1981:19.2920.094
LAT28.47028.30722.4881:19.2651:19.4790.214
RAI28.27628.46822.5331:19.2771:19.2770.000
TSU28.63228.50122.5381:19.6711:19.6710.000
MSC28.58328.51422.6071:19.7041:19.8170.113
GIO28.50328.68222.5581:19.7431:20.1860.443
MAZ29.53429.16023.1871:21.8811:21.8810.000

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+1.026(15 drivers ran both)H+1.389(3 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

MercedesBOTahead of HAM+0.027
Red Bull RacingVERahead of PER+0.514
AlpineOCOahead of ALO+0.410
AlphaTauriGASahead of TSU+1.558
Aston MartinVETahead of STR+0.092
McLarenNORahead of RIC+0.424
FerrariLECahead of SAI+0.071
Alfa Romeo RacingRAIahead of GIO+0.909
WilliamsRUSahead of LAT+0.187
Haas F1 TeamMSCahead of MAZ+2.064

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

Stints and compounds

BOT355115
HAM4433184
VER83148
OCO36614
PER3569
GAS6333142
ALO55611
VET531211
NOR85147
STR333129
LEC6351123
SAI8361104
RIC45566
RAI5637
RUS5331215
LAT561315
TSU3
MSC86105
GIO73639
MAZ71155
SSoftMMediumHHard

Practice 3

HAM1:16.826

Single-lap pace

HAM1:16.826—
VER1:16.914+0.088
BOT1:17.055+0.229
SAI1:17.497+0.671
LEC1:17.520+0.694
NOR1:17.772+0.946
PER1:17.917+1.091
RIC1:17.942+1.116
ALO1:17.992+1.166
STR1:18.050+1.224
GAS1:18.115+1.289
OCO1:18.174+1.348
VET1:18.235+1.409
TSU1:18.461+1.635
RAI1:18.683+1.857
RUS1:18.794+1.968
LAT1:18.821+1.995
GIO1:19.113+2.287
MSC1:19.406+2.580
MAZ1:19.933+3.107

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

Long runs, fuel-corrected

DriverTyreLapsFuel-correctedGapSpreadDeg / lap
TSUM6*1:22.118—±0.387—
MSCS5*1:22.488+0.370±0.462—
HAMS6*1:22.545+0.427±0.266—
MAZM5*1:24.280+2.162±1.067—

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
HAM27.92627.28021.6201:16.8261:16.8260.000
VER27.75427.29421.8661:16.9141:16.9140.000
BOT28.08627.31521.6541:17.0551:17.0550.000
LEC28.00227.37922.0971:17.4781:17.5200.042
SAI28.19227.37721.9281:17.4971:17.4970.000
PER27.96427.85521.9391:17.7581:17.9170.159
NOR28.41227.38221.9781:17.7721:17.7720.000
RIC28.12227.77922.0411:17.9421:17.9420.000
ALO28.28527.64622.0401:17.9711:17.9920.021
STR28.27927.76921.9661:18.0141:18.0500.036
GAS28.28127.67522.1061:18.0621:18.1150.053
OCO28.23627.74722.1481:18.1311:18.1740.043
VET28.34627.74822.0371:18.1311:18.2350.104
TSU28.17028.10322.1881:18.4611:18.4610.000
RAI28.11428.06522.3111:18.4901:18.6830.193
LAT28.36928.05022.2761:18.6951:18.8210.126
RUS28.40428.11422.2761:18.7941:18.7940.000
GIO28.41228.31922.3821:19.1131:19.1130.000
MSC28.57428.33722.4951:19.4061:19.4060.000
MAZ28.62328.64122.6691:19.9331:19.9330.000

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+1.033(10 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

MercedesHAMahead of BOT+0.229
Red Bull RacingVERahead of PER+1.003
FerrariSAIahead of LEC+0.023
McLarenNORahead of RIC+0.170
AlpineALOahead of OCO+0.182
Aston MartinSTRahead of VET+0.185
AlphaTauriGASahead of TSU+0.346
Alfa Romeo RacingRAIahead of GIO+0.430
WilliamsRUSahead of LAT+0.027
Haas F1 TeamMSCahead of MAZ+0.527

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

Stints and compounds

HAM331832
VER33133
BOT33315
SAI75332
LEC3733
NOR7311
PER3333
RIC45141
ALO96
STR916
GAS9116
OCO96
VET816
TSU9817
RAI8616
RUS52133
LAT611133
GIO3533
MSC762
MAZ75211
SSoftMMedium