Round 06 · Free Practice 1
Monaco Grand Prix
Circuit de Monaco · Jun 5–7, 2026
00
Days
:
00
Hours
:
00
Mins
:
00
Secs
Round 3 · Japan
Free Practice 2
Suzuka
Japanese Grand Prix
Free Practice 2 Results
Suzuka Circuit · Suzuka, Japan
Race Simulation
Free Practice 2 — Race Simulation
Primary Race Sim Data
FP2 is the most data-rich session of the weekend. Teams run long stints on representative fuel loads to simulate race conditions — this is where real tyre degradation rates, race pace, and pit stop windows are established. The final portion often includes a qualifying simulation to set a benchmark for tomorrow. This is the primary session used by our race simulation and tyre strategy models.
Long Runs
Race Fuel
Tyre Degradation
Pit Strategy
Primary Race Model
Pos
Driver
Team
Time / Gap
Tyre
Session Analytics
Position
Gap
Position
Lap Time
Speed Analysis
km/h
S1
S2
S3
S1
S2
S3
Overall Fastest
Personal Best
Slower
Driver
Gap
Sector 1
Sector 2
Sector 3
PIA
P1
32.412
P1
39.990
P2
17.731
P3
ANT
+0.092
32.653
P4
39.958
P1
17.614
P1
RUS
+0.205
32.470
P2
40.001
P3
17.867
P12
NOR
+0.516
32.627
P3
40.243
P5
17.779
P8
LEC
+0.713
32.811
P6
40.150
P4
17.885
P15
HAM
+0.847
32.774
P5
40.346
P6
17.860
P11
HUL
+1.308
33.203
P12
40.513
P9
17.725
P2
ALB
+1.363
33.146
P10
40.589
P10
17.761
P7
BEA
+1.365
32.966
P7
40.642
P13
17.890
P16
VER
+1.376
33.053
P8
40.720
P14
17.736
P5
OCO
+1.399
33.058
P9
40.601
P11
17.873
P13
LAW
+1.457
33.181
P11
40.425
P8
17.984
P18
SAI
+1.475
33.250
P13
40.617
P12
17.741
P6
GAS
+1.601
33.529
P17
40.417
P7
17.788
P9
HAD
+1.626
33.251
P14
40.775
P15
17.733
P4
BOR
+1.800
33.257
P15
40.884
P16
17.792
P10
COL
+2.305
33.525
P16
40.942
P17
17.971
P17
BOT
+2.482
33.664
P18
41.069
P18
17.882
P14
ALO
+3.463
34.091
P20
41.483
P20
18.022
P19
PER
+3.556
33.977
P19
41.347
P19
18.365
P21
STR
+3.818
34.104
P21
41.662
P21
18.185
P20
Fastest in field
Top quarter
Midfield
Slowest
Flat
Progressive
Cliff
Heavy
Improver
Erratic
Hard
GAS
L17–29
Progressive
Avg
1:36.241
Deg/lap
+0.063s
Laps
9/10
VER
L12–29
Improver
Avg
1:36.653
+0.412
Deg/lap
-0.158s
Laps
14/16
HUL
L13–20
Cliff
Avg
1:36.923
+0.682
Deg/lap
+0.822s
Laps
7/7
HAD
L16–29
Progressive
Avg
1:37.152
+0.911
Deg/lap
+0.139s
Laps
10/11
PER
L6–14
Flat
Avg
1:38.149
+1.908
Deg/lap
-0.049s
Laps
5/6
SAI
L15–26
Cliff
Avg
1:38.556
+2.315
Deg/lap
+0.495s
Laps
10/11
Medium
ANT
L15–24
Cliff
Avg
1:35.056
Deg/lap
+0.414s
Laps
8/9
RUS
L17–25
Cliff
Avg
1:35.423
+0.367
Deg/lap
+0.404s
Laps
8/8
LEC
L17–28
Erratic
Avg
1:35.907
+0.851
Deg/lap
+0.041s
Laps
8/10
PIA
L16–25
Progressive
Avg
1:36.047
+0.991
Deg/lap
+0.051s
Laps
9/9
BEA
L14–28
Progressive
Avg
1:36.319
+1.263
Deg/lap
+0.054s
Laps
11/13
OCO
L16–30
Progressive
Avg
1:36.527
+1.471
Deg/lap
+0.055s
Laps
11/12
COL
L15–28
Flat
Avg
1:36.791
+1.735
Deg/lap
+0.012s
Laps
10/12
LAW
L17–30
Flat
Avg
1:36.980
+1.924
Deg/lap
+0.012s
Laps
8/11
ALB
L16–26
Improver
Avg
1:37.248
+2.192
Deg/lap
-0.076s
Laps
9/10
BOT
L14–28
Flat
Avg
1:37.985
+2.929
Deg/lap
+0.020s
Laps
11/13
Soft
ALO
L18–24
—
Avg
1:38.555
Deg/lap
0.000s
Laps
4/5
Outlier laps (SC/VSC/traffic) shown as open circles on baseline. Clean laps used for curve and stats. Deg/lap = linear regression slope.
Compare long run pace between any two drivers.
Driver 1
vs
Driver 2
Avg Pace Delta