FP1 includes 428 cleaned timed laps, with RUS (Mercedes) setting the top reference at 1:32.041.
The order fans from +1.031s at P5 to +1.356s at P10; this shape is typical when teams split between short-run prep and long-run programs.
Practice interpretation: wide boxes are often run-plan noise (fuel, traffic, prep laps), while narrow boxes with decent pace usually indicate a stable baseline rather than peak mode.
Median Pace Delta to Fastest
Highlights
Median pace baseline is RUS (Mercedes) at 1:32.041, with immediate challengers at +0.397s and +0.652s.
Delta growth to +1.031s (P5) and +1.356s (P10) suggests at least two pace tiers, but practice tiers can compress once fuel loads converge.
Potential hidden-pace context: teams may suppress headline pace via higher fuel or conservative power modes, so prioritize repeatability and stint behavior over absolute median delta alone.
Sector Delta Heatmap
Highlights
FP1 sector map is anchored to RUS (Mercedes) at 1:32.041, with the first chase gap at +0.397s.
The spread expands from +0.652s at P3 to +1.356s at P10, which usually indicates multiple run plans (fuel/compound targets) rather than one pure quali simulation.
Large single-sector losses in practice can come from conservative deployment and heavier fuel, so treat red cells as directionally useful, not absolute qualifying truth.
Pace vs Consistency
Highlights
RUS (Mercedes) is the pace anchor at 1:32.041 over 21 laps, while PIA and NOR sit at +0.397s and +0.652s.
Drivers low on the chart with larger bubbles are showing repeatable race-run behavior; high vertical spread often points to mixed fuel targets, traffic, or setup experimentation.
Potential sandbagging signal: if a team shows strong consistency and lap-count depth without headline top pace, they may be running conservative engine modes or heavier fuel.
Long-Run Pace
Highlights
Long-run reference is NOR (McLaren) at 93.965s, with RUS at +1.595s and ANT at +2.413s.
Each bar uses one representative race-run stint per driver (minimum 3 laps, excluding opening stint laps).
Within the plotted long-run group, spread is +3.575s to P5 and +3.575s from fastest to slowest.
Compound Usage Mix
Highlights
Highest soft-running share: ANT (72.7%). Highest medium share: VER (86.7%).
Highest hard-running share: LIN (80.0%), indicating the strongest bias to longer-stint baseline work in this session.
Most balanced S/M/H split is HAM (50.0% / 0.0% / 50.0%); compound bias can reflect deliberate program masking as much as pure pace.
Team Mean vs Top Speed
Highlights
FP1 speed profile links team-level mean speed to terminal speed, with the pace reference set by RUS (Mercedes).
High top-speed but weaker mean-speed points typically indicate lower drag or stronger deployment, while high mean-speed with modest top-speed usually reflects downforce-biased setup.
Practice caveat: engine mode masking and fuel-load variation can hide true one-lap pace, so use this chart as aero/efficiency direction rather than final ranking.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
RUS
Mercedes
1:32.041
21
2
PIA
McLaren
1:32.438
20
3
NOR
McLaren
1:32.694
17
4
ANT
Mercedes
1:32.726
21
5
LAW
Racing Bulls
1:33.072
23
6
VER
Red Bull Racing
1:33.188
23
7
HAM
Ferrari
1:33.204
16
8
LEC
Ferrari
1:33.327
21
9
HAD
Red Bull Racing
1:33.374
23
10
LIN
Racing Bulls
1:33.397
25
FP2
Drivers: 21Laps: 429
Pace Distribution
Highlights
FP2 includes 429 cleaned timed laps, with PIA (McLaren) setting the top reference at 1:30.788.
The order fans from +0.737s at P5 to +1.846s at P10; this shape is typical when teams split between short-run prep and long-run programs.
Practice interpretation: wide boxes are often run-plan noise (fuel, traffic, prep laps), while narrow boxes with decent pace usually indicate a stable baseline rather than peak mode.
Median Pace Delta to Fastest
Highlights
Median pace baseline is PIA (McLaren) at 1:30.788, with immediate challengers at +0.173s and +0.230s.
Delta growth to +0.737s (P5) and +1.846s (P10) suggests at least two pace tiers, but practice tiers can compress once fuel loads converge.
Potential hidden-pace context: teams may suppress headline pace via higher fuel or conservative power modes, so prioritize repeatability and stint behavior over absolute median delta alone.
Sector Delta Heatmap
Highlights
FP2 sector map is anchored to PIA (McLaren) at 1:30.788, with the first chase gap at +0.173s.
The spread expands from +0.230s at P3 to +1.846s at P10, which usually indicates multiple run plans (fuel/compound targets) rather than one pure quali simulation.
Large single-sector losses in practice can come from conservative deployment and heavier fuel, so treat red cells as directionally useful, not absolute qualifying truth.
Pace vs Consistency
Highlights
PIA (McLaren) is the pace anchor at 1:30.788 over 24 laps, while RUS and ANT sit at +0.173s and +0.230s.
Drivers low on the chart with larger bubbles are showing repeatable race-run behavior; high vertical spread often points to mixed fuel targets, traffic, or setup experimentation.
Potential sandbagging signal: if a team shows strong consistency and lap-count depth without headline top pace, they may be running conservative engine modes or heavier fuel.
Long-Run Pace
Highlights
Long-run reference is ANT (Mercedes) at 94.557s, with RUS at +0.658s and LEC at +0.724s.
Each bar uses one representative race-run stint per driver (minimum 3 laps, excluding opening stint laps).
Within the plotted long-run group, spread is +1.539s to P5 and +2.448s from fastest to slowest.
Compound Usage Mix
Highlights
Highest soft-running share: HUL (35.7%). Highest medium share: OCO (87.5%).
Highest hard-running share: GAS (86.7%), indicating the strongest bias to longer-stint baseline work in this session.
Most balanced S/M/H split is HUL (35.7% / 0.0% / 64.3%); compound bias can reflect deliberate program masking as much as pure pace.
Team Mean vs Top Speed
Highlights
FP2 speed profile links team-level mean speed to terminal speed, with the pace reference set by PIA (McLaren).
High top-speed but weaker mean-speed points typically indicate lower drag or stronger deployment, while high mean-speed with modest top-speed usually reflects downforce-biased setup.
Practice caveat: engine mode masking and fuel-load variation can hide true one-lap pace, so use this chart as aero/efficiency direction rather than final ranking.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
PIA
McLaren
1:30.788
24
2
RUS
Mercedes
1:30.961
22
3
ANT
Mercedes
1:31.018
19
4
HAM
Ferrari
1:31.384
19
5
LEC
Ferrari
1:31.525
23
6
HUL
Audi
1:32.123
22
7
HAD
Red Bull Racing
1:32.202
23
8
LAW
Racing Bulls
1:32.233
24
9
GAS
Alpine
1:32.500
24
10
OCO
Haas F1 Team
1:32.634
24
FP3
Drivers: 22Laps: 343
Pace Distribution
Highlights
FP3 includes 343 cleaned timed laps, with ANT (Mercedes) setting the top reference at 1:29.932.
The order fans from +0.821s at P5 to +1.588s at P10; this shape is typical when teams split between short-run prep and long-run programs.
Practice interpretation: wide boxes are often run-plan noise (fuel, traffic, prep laps), while narrow boxes with decent pace usually indicate a stable baseline rather than peak mode.
Median Pace Delta to Fastest
Highlights
Median pace baseline is ANT (Mercedes) at 1:29.932, with immediate challengers at +0.102s and +0.584s.
Delta growth to +0.821s (P5) and +1.588s (P10) suggests at least two pace tiers, but practice tiers can compress once fuel loads converge.
Potential hidden-pace context: teams may suppress headline pace via higher fuel or conservative power modes, so prioritize repeatability and stint behavior over absolute median delta alone.
Sector Delta Heatmap
Highlights
FP3 sector map is anchored to ANT (Mercedes) at 1:29.932, with the first chase gap at +0.102s.
The spread expands from +0.584s at P3 to +1.588s at P10, which usually indicates multiple run plans (fuel/compound targets) rather than one pure quali simulation.
Large single-sector losses in practice can come from conservative deployment and heavier fuel, so treat red cells as directionally useful, not absolute qualifying truth.
Pace vs Consistency
Highlights
ANT (Mercedes) is the pace anchor at 1:29.932 over 12 laps, while RUS and LEC sit at +0.102s and +0.584s.
Drivers low on the chart with larger bubbles are showing repeatable race-run behavior; high vertical spread often points to mixed fuel targets, traffic, or setup experimentation.
Potential sandbagging signal: if a team shows strong consistency and lap-count depth without headline top pace, they may be running conservative engine modes or heavier fuel.
Compound Usage Mix
Highlights
Highest soft-running share: ANT (100.0%). Highest medium share: LAW (83.3%).
No hard-compound running is present for the selected drivers in this session; programs are concentrated on soft/medium work.
Most balanced S/M/H split is GAS (50.0% / 50.0% / 0.0%); compound bias can reflect deliberate program masking as much as pure pace.
Team Mean vs Top Speed
Highlights
FP3 speed profile links team-level mean speed to terminal speed, with the pace reference set by ANT (Mercedes).
High top-speed but weaker mean-speed points typically indicate lower drag or stronger deployment, while high mean-speed with modest top-speed usually reflects downforce-biased setup.
Practice caveat: engine mode masking and fuel-load variation can hide true one-lap pace, so use this chart as aero/efficiency direction rather than final ranking.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
ANT
Mercedes
1:29.932
12
2
RUS
Mercedes
1:30.034
13
3
LEC
Ferrari
1:30.516
16
4
PIA
McLaren
1:30.542
15
5
HAM
Ferrari
1:30.752
17
6
HUL
Audi
1:31.102
17
7
VER
Red Bull Racing
1:31.230
19
8
BOR
Audi
1:31.248
18
9
LAW
Racing Bulls
1:31.493
19
10
GAS
Alpine
1:31.519
16
Q1
Drivers: 22Laps: 120
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are LEC (Ferrari) 32.269s, PIA (McLaren) 39.788s, and HUL (Audi) 17.564s.
3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.052s table gap from P1 to P2, even one mid-sector correction can materially change grid order.
Best Lap Delta to Fastest
Highlights
Best-lap benchmark is LEC (Ferrari) at 1:29.915; closest challenger is RUS at +0.052s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.120s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 32.269s, 39.788s, and 17.564s respectively.
Because 3 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S2 has the widest sector spread at +0.539s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
LEC (Ferrari) sets the reference at 1:29.915, while this chart isolates who improved most run-to-run in Q1.
Large positive improvement with low lap count often signals one optimized push-lap, while repeated medium gains suggest sustainable pace unlocking.
The current top-table separation is 0.052s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
LEC (Ferrari) leads the split at 1:29.915, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 LEC (32.269s), S2 PIA (39.788s), and S3 HUL (17.564s).
The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.
Fastest Two Lap Delta
Highlights
Q1 reference lap is LEC (Ferrari) at 1:29.915, with RUS (Mercedes) next at +0.052s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.120s, so even small mid-lap gains can materially change the front order in this split.
Pos
Driver
Team
S1 (s)
S2 (s)
S3 (s)
Best Lap (s)
1
LEC
Ferrari
0:32.269
0:39.857
0:17.668
1:29.915
2
RUS
Mercedes
0:32.443
0:39.791
0:17.733
1:29.967
3
ANT
Mercedes
0:32.388
0:39.930
0:17.717
1:30.035
4
PIA
McLaren
0:32.546
0:39.788
0:17.803
1:30.200
5
HAM
Ferrari
0:32.313
0:40.206
0:17.691
1:30.309
6
HUL
Audi
0:32.486
0:40.231
0:17.564
1:30.358
7
BOR
Audi
0:32.440
0:40.260
0:17.586
1:30.359
8
NOR
McLaren
0:32.556
0:40.033
0:17.728
1:30.401
9
VER
Red Bull Racing
0:32.588
0:40.319
0:17.565
1:30.519
10
GAS
Alpine
0:32.528
0:40.327
0:17.709
1:30.584
Q2
Drivers: 16Laps: 69
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are LEC (Ferrari) 31.778s, ANT (Mercedes) 39.398s, and ANT (Mercedes) 17.472s.
2 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.255s table gap from P1 to P2, even one mid-sector correction can materially change grid order.
Best Lap Delta to Fastest
Highlights
Best-lap benchmark is ANT (Mercedes) at 1:29.048; closest challenger is LEC at +0.255s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.403s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 31.778s, 39.398s, and 17.472s respectively.
Because 2 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S1 has the widest sector spread at +0.787s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
ANT (Mercedes) sets the reference at 1:29.048, while this chart isolates who improved most run-to-run in Q2.
Large positive improvement with low lap count often signals one optimized push-lap, while repeated medium gains suggest sustainable pace unlocking.
The current top-table separation is 0.255s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
ANT (Mercedes) leads the split at 1:29.048, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 LEC (31.778s), S2 ANT (39.398s), and S3 ANT (17.472s).
The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.
Fastest Two Lap Delta
Highlights
Q2 reference lap is ANT (Mercedes) at 1:29.048, with LEC (Ferrari) next at +0.255s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.403s, so even small mid-lap gains can materially change the front order in this split.
Pos
Driver
Team
S1 (s)
S2 (s)
S3 (s)
Best Lap (s)
1
ANT
Mercedes
0:32.178
0:39.398
0:17.472
1:29.048
2
LEC
Ferrari
0:31.778
0:39.855
0:17.670
1:29.303
3
PIA
McLaren
0:32.131
0:39.743
0:17.577
1:29.451
4
HAM
Ferrari
0:32.031
0:39.933
0:17.625
1:29.589
5
RUS
Mercedes
0:32.165
0:39.715
0:17.707
1:29.686
6
NOR
McLaren
0:32.208
0:39.892
0:17.695
1:29.795
7
GAS
Alpine
0:32.224
0:40.114
0:17.531
1:29.874
8
BOR
Audi
0:32.288
0:40.149
0:17.492
1:29.990
9
HAD
Red Bull Racing
0:32.336
0:40.094
0:17.608
1:30.104
10
LIN
Racing Bulls
0:32.565
0:40.043
0:17.501
1:30.109
Q3
Drivers: 10Laps: 38
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are LEC (Ferrari) 31.655s, ANT (Mercedes) 39.439s, and ANT (Mercedes) 17.464s.
2 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.298s table gap from P1 to P2, even one mid-sector correction can materially change grid order.
Best Lap Delta to Fastest
Highlights
Best-lap benchmark is ANT (Mercedes) at 1:28.778; closest challenger is RUS at +0.298s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.354s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 31.655s, 39.439s, and 17.464s respectively.
Because 2 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S1 has the widest sector spread at +0.893s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
ANT (Mercedes) sets the reference at 1:28.778, while this chart isolates who improved most run-to-run in Q3.
Large positive improvement with low lap count often signals one optimized push-lap, while repeated medium gains suggest sustainable pace unlocking.
The current top-table separation is 0.298s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
ANT (Mercedes) leads the split at 1:28.778, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 LEC (31.655s), S2 ANT (39.439s), and S3 ANT (17.464s).
The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.
Fastest Two Lap Delta
Highlights
Q3 reference lap is ANT (Mercedes) at 1:28.778, with RUS (Mercedes) next at +0.298s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.354s, so even small mid-lap gains can materially change the front order in this split.
Pos
Driver
Team
S1 (s)
S2 (s)
S3 (s)
Best Lap (s)
1
ANT
Mercedes
0:31.827
0:39.439
0:17.464
1:28.778
2
RUS
Mercedes
0:31.782
0:39.607
0:17.616
1:29.076
3
PIA
McLaren
0:31.954
0:39.557
0:17.587
1:29.132
4
LEC
Ferrari
0:31.655
0:39.883
0:17.753
1:29.405
5
NOR
McLaren
0:32.049
0:39.716
0:17.627
1:29.409
6
HAM
Ferrari
0:31.762
0:39.934
0:17.637
1:29.567
7
GAS
Alpine
0:32.143
0:40.029
0:17.519
1:29.691
8
HAD
Red Bull Racing
0:32.164
0:40.137
0:17.677
1:29.978
9
BOR
Audi
0:32.292
0:40.213
0:17.664
1:30.274
10
LIN
Racing Bulls
0:32.548
0:40.155
0:17.616
1:30.319
Race
Drivers: 22Laps: 1086
Position Trace
Highlights
Final order reference is ANT, PIA, LEC, and the trace shows how each driver reached that finish rather than only the classified result.
Large slope changes typically align with pit phases, traffic release, or neutralization effects.
Compare the winner ANT versus nearest finishers (PIA, LEC) to separate strategy timing from raw pace.
Lap Time Trace
Highlights
ANT (Mercedes) leads at 1:33.798, with PIA at +0.364s, and this trace shows how that gap evolved lap-by-lap.
Step-like improvements often mark post-stop clean-air phases, while spikes usually point to traffic or tyre drop-off.
P1-to-P3 pace spread is +0.421s, which indicates how much variation contenders could tolerate during pit cycles.
Stint Timeline (Compound Coded)
Highlights
Observed stop profile is 2 stints for all listed runners, and the front reference is ANT with a median pace of 1:33.798.
Longer opening or middle segments usually indicate teams protecting track position and stretching tyre life before committing to stop windows.
Shorter repeated segments usually reflect aggressive offset attempts or response calls to direct rivals in the same position battle.
Tyre Degradation
Highlights
ANT (Mercedes) is the pace reference at 1:33.798, and the degradation trend tests whether that edge survives tyre-age accumulation.
Flatter trend lines indicate stronger stint management, while steeper slopes usually force earlier stops or larger late-stint deficits.
Use slope differences between ANT, PIA, and LEC to estimate who can extend windows without a major pace penalty.
Degradation-Corrected Pace
Highlights
ANT (Mercedes) is the corrected baseline at 1:33.798, with PIA at +0.364s after tyre-age normalization.
Drivers whose corrected distributions stay tight and low typically had strong stint control independent of compound age profile.
The corrected benchmark gap of 0.364s to P2 indicates whether raw result order is supported by sustainable pace.