Round 13 · Free Practice 1
Italian Grand Prix
Autodromo Nazionale Monza · Sep 4–6, 2026
00
Days
:
00
Hours
:
00
Mins
:
00
Secs
Round 11 · Hungary
Free Practice 2
Budapest
Hungarian Grand Prix
Free Practice 2 Results
Hungaroring · Budapest, Hungary
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
HAM
P1
27.673
P1
28.449
P1
22.607
P1
LEC
+0.148
27.689
P2
28.492
P2
22.696
P2
NOR
+0.499
27.782
P3
28.540
P3
22.906
P3
VER
+0.692
27.827
P5
28.636
P4
22.958
P4
RUS
+0.933
27.855
P6
28.699
P5
23.108
P8
HAD
+1.071
27.981
P7
28.794
P6
23.025
P5
LAW
+1.312
28.116
P12
28.838
P8
23.087
P7
PIA
+1.372
27.819
P4
28.798
P7
23.484
P17
HUL
+1.396
28.060
P9
28.903
P10
23.162
P9
LIN
+1.524
28.033
P8
28.845
P9
23.375
P15
BOR
+1.745
28.225
P14
29.191
P12
23.058
P6
OCO
+1.828
28.256
P15
29.101
P11
23.200
P10
ANT
+1.964
28.061
P10
29.327
P15
23.305
P12
GAS
+2.087
28.070
P11
29.429
P17
23.317
P13
BEA
+2.221
28.271
P16
29.314
P14
23.365
P14
ALB
+2.244
28.137
P13
29.380
P16
23.456
P16
ALO
+2.619
28.566
P20
29.286
P13
23.496
P18
SAI
+2.697
28.332
P18
29.531
P18
23.563
P21
BOT
+2.713
28.301
P17
29.895
P20
23.246
P11
PER
+3.063
28.436
P19
29.833
P19
23.523
P19
COL
+3.376
28.650
P21
29.904
P21
23.551
P20
Fastest in field
Top quarter
Midfield
Slowest
Flat
Progressive
Cliff
Heavy
Improver
Erratic
Hard
BOR
L18–27
Cliff
Avg
1:25.797
Deg/lap
+0.345s
Laps
6/8
LIN
L16–29
Progressive
Avg
1:26.232
+0.435
Deg/lap
+0.100s
Laps
10/12
SAI
L14–27
Cliff
Avg
1:27.552
+1.755
Deg/lap
+0.234s
Laps
13/13
ALB
L16–29
Progressive
Avg
1:27.887
+2.090
Deg/lap
+0.171s
Laps
13/13
Medium
NOR
L11–23
Cliff
Avg
1:24.843
Deg/lap
+0.252s
Laps
11/12
RUS
L12–26
Cliff
Avg
1:25.220
+0.377
Deg/lap
+0.341s
Laps
13/14
HAM
L17–26
Progressive
Avg
1:25.256
+0.413
Deg/lap
+0.199s
Laps
6/8
PIA
L17–28
Cliff
Avg
1:25.499
+0.656
Deg/lap
+0.155s
Laps
8/10
VER
L9–17
Cliff
Avg
1:25.571
+0.728
Deg/lap
+0.909s
Laps
8/8
BEA
L17–28
Cliff
Avg
1:26.554
+1.711
Deg/lap
+0.220s
Laps
8/10
OCO
L13–26
Flat
Avg
1:26.631
+1.788
Deg/lap
-0.041s
Laps
10/13
PER
L15–28
Flat
Avg
1:27.547
+2.704
Deg/lap
+0.045s
Laps
9/12
BOT
L20–31
Cliff
Avg
1:28.177
+3.334
Deg/lap
+0.388s
Laps
8/10
Soft
LEC
L18–30
Flat
Avg
1:25.188
Deg/lap
+0.032s
Laps
9/11
HUL
L17–25
Cliff
Avg
1:25.715
+0.527
Deg/lap
+0.321s
Laps
8/8
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