FP1 includes 508 cleaned timed laps, with RUS (Mercedes) setting the top reference at 1:14.275.
The order fans from +1.033s at P5 to +2.342s 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 1:14.275, with immediate challengers at +0.287s and +0.791s.
Delta growth to +1.033s (P5) and +2.342s (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 1:14.275, with the first chase gap at +0.287s.
The spread expands from +0.791s at P3 to +2.342s 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 1:14.275 over 29 laps, while ANT and HAM sit at +0.287s and +0.791s.
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 HAM (Ferrari) at 75.734s, with RUS at +0.026s and ANT at +0.056s.
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 +0.595s to P5 and +2.230s from fastest to slowest.
Compound Usage Mix
Highlights
Highest soft-running share: ALO (77.8%). Highest medium share: LIN (81.8%).
Highest hard-running share: HAD (100.0%), indicating the strongest bias to longer-stint baseline work in this session.
Most balanced S/M/H split is ALO (77.8% / 11.1% / 11.1%); 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
1:14.275
29
2
ANT
Mercedes
1:14.562
27
3
HAM
Ferrari
1:15.066
31
4
NOR
McLaren
1:15.253
25
5
LEC
Ferrari
1:15.308
31
6
PIA
McLaren
1:15.655
26
7
LIN
Racing Bulls
1:15.782
27
8
VER
Red Bull Racing
1:15.953
26
9
ALO
Aston Martin
1:16.439
26
10
HAD
Red Bull Racing
1:16.616
24
SQ1
Drivers: 20Laps: 118
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are HAM (Ferrari) 20.946s, RUS (Mercedes) 23.446s, and ANT (Mercedes) 29.270s.
3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.121s 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 HAM (Ferrari) at 1:13.889; closest challenger is ANT at +0.121s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.139s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 20.946s, 23.446s, and 29.270s respectively.
Because 3 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S3 has the widest sector spread at +0.695s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
HAM (Ferrari) sets the reference at 1:13.889, while this chart isolates who improved most run-to-run in SQ1.
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 0.121s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
HAM (Ferrari) leads the split at 1:13.889, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 HAM (20.946s), S2 RUS (23.446s), and S3 ANT (29.270s).
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
SQ1 reference lap is HAM (Ferrari) at 1:13.889, with ANT (Mercedes) next at +0.121s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.139s, 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
HAM
Ferrari
0:20.946
0:23.463
0:29.395
1:13.889
2
ANT
Mercedes
0:21.241
0:23.499
0:29.270
1:14.010
3
VER
Red Bull Racing
0:20.998
0:23.533
0:29.272
1:14.028
4
NOR
McLaren
0:21.305
0:23.542
0:29.293
1:14.265
5
LIN
Racing Bulls
0:21.251
0:23.753
0:29.513
1:14.517
6
HAD
Red Bull Racing
0:21.405
0:23.678
0:29.458
1:14.541
7
PIA
McLaren
0:21.404
0:23.487
0:29.576
1:14.665
8
RUS
Mercedes
0:21.279
0:23.446
0:29.698
1:14.772
9
LEC
Ferrari
0:21.106
0:23.857
0:29.650
1:15.006
10
COL
Alpine
0:21.502
0:24.017
0:29.965
1:15.484
SQ2
Drivers: 15Laps: 74
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are RUS (Mercedes) 20.768s, RUS (Mercedes) 23.195s, and RUS (Mercedes) 29.063s.
1 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.439s 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 RUS (Mercedes) at 1:13.026; closest challenger is HAM at +0.439s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.525s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 20.768s, 23.195s, and 29.063s respectively.
Because 1 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S3 has the widest sector spread at +0.738s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
RUS (Mercedes) sets the reference at 1:13.026, while this chart isolates who improved most run-to-run in SQ2.
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 0.439s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
RUS (Mercedes) leads the split at 1:13.026, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 RUS (20.768s), S2 RUS (23.195s), and S3 RUS (29.063s).
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
SQ2 reference lap is RUS (Mercedes) at 1:13.026, with HAM (Ferrari) next at +0.439s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.525s, 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
RUS
Mercedes
0:20.768
0:23.195
0:29.063
1:13.026
2
HAM
Ferrari
0:20.803
0:23.277
0:29.303
1:13.465
3
ANT
Mercedes
0:20.895
0:23.303
0:29.353
1:13.551
4
LEC
Ferrari
0:20.832
0:23.403
0:29.319
1:13.554
5
PIA
McLaren
0:21.001
0:23.393
0:29.464
1:13.858
6
NOR
McLaren
0:21.204
0:23.281
0:29.472
1:13.957
7
LIN
Racing Bulls
0:21.090
0:23.541
0:29.477
1:14.140
8
HAD
Red Bull Racing
0:21.179
0:23.658
0:29.402
1:14.239
9
VER
Red Bull Racing
0:21.107
0:23.504
0:29.801
1:14.412
10
SAI
Williams
0:21.263
0:23.661
0:29.561
1:14.547
SQ3
Drivers: 10Laps: 46
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are HAM (Ferrari) 20.594s, RUS (Mercedes) 23.066s, and ANT (Mercedes) 28.940s.
3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.068s 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 RUS (Mercedes) at 1:12.965; closest challenger is ANT at +0.068s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.315s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 20.594s, 23.066s, and 28.940s respectively.
Because 3 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S1 has the widest sector spread at +0.711s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
RUS (Mercedes) sets the reference at 1:12.965, while this chart isolates who improved most run-to-run in SQ3.
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 0.068s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
RUS (Mercedes) leads the split at 1:12.965, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 HAM (20.594s), S2 RUS (23.066s), and S3 ANT (28.940s).
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
SQ3 reference lap is RUS (Mercedes) at 1:12.965, with ANT (Mercedes) next at +0.068s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.315s, 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
RUS
Mercedes
0:20.753
0:23.066
0:29.042
1:12.965
2
ANT
Mercedes
0:20.899
0:23.194
0:28.940
1:13.033
3
NOR
McLaren
0:20.808
0:23.124
0:29.190
1:13.280
4
PIA
McLaren
0:20.912
0:23.112
0:29.275
1:13.299
5
HAM
Ferrari
0:20.594
0:23.208
0:29.256
1:13.326
6
LEC
Ferrari
0:20.877
0:23.375
0:29.158
1:13.410
7
VER
Red Bull Racing
0:20.784
0:23.352
0:29.219
1:13.504
8
HAD
Red Bull Racing
0:20.887
0:23.345
0:29.340
1:13.605
9
LIN
Racing Bulls
0:21.013
0:23.376
0:29.316
1:13.737
10
SAI
Williams
0:21.305
0:23.683
0:29.505
1:14.536
Sprint
Drivers: 22Laps: 467
Position Trace
Highlights
Final order reference is RUS, NOR, ANT, 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 RUS versus nearest finishers (NOR, ANT) to separate strategy timing from raw pace.
Lap Time Trace
Highlights
RUS (Mercedes) leads at 1:14.891, with NOR at +0.039s, 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 +0.013s, which indicates how much variation contenders could tolerate during pit cycles.
Stint Timeline (Compound Coded)
Highlights
Observed stop profile is 1 stints for all listed runners, and the front reference is RUS with a median pace of 1:14.891.
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
RUS (Mercedes) is the pace reference at 1:14.891, 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 RUS, NOR, and ANT to estimate who can extend windows without a major pace penalty.
Degradation-Corrected Pace
Highlights
RUS (Mercedes) is the corrected baseline at 1:14.891, with NOR at +0.039s 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 0.039s to P2 indicates whether raw result order is supported by sustainable pace.
Pos
Driver
Team
Median Pace (s)
Fastest Lap (s)
Stints
1
RUS
Mercedes
1:14.891
1:14.702
1
2
NOR
McLaren
1:14.930
1:14.596
1
3
ANT
Mercedes
1:14.904
1:14.380
1
4
PIA
McLaren
1:15.154
1:14.793
1
5
LEC
Ferrari
1:15.278
1:14.741
1
6
HAM
Ferrari
1:15.233
1:14.695
1
7
VER
Red Bull Racing
1:15.310
1:14.974
1
8
LIN
Racing Bulls
1:15.998
1:15.653
1
9
COL
Alpine
1:16.067
1:15.478
1
10
SAI
Williams
1:16.434
1:15.943
1
Q1
Drivers: 22Laps: 184
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are HAM (Ferrari) 20.758s, PIA (McLaren) 23.116s, and ANT (Mercedes) 29.216s.
3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.123s 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 1:13.380; closest challenger is NOR at +0.123s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.179s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 20.758s, 23.116s, and 29.216s respectively.
Because 3 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S1 has the widest sector spread at +0.483s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
ANT (Mercedes) sets the reference at 1:13.380, 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 0.123s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
ANT (Mercedes) leads the split at 1:13.380, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 HAM (20.758s), S2 PIA (23.116s), and S3 ANT (29.216s).
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 ANT (Mercedes) at 1:13.380, with NOR (McLaren) next at +0.123s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.179s, 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
0:20.974
0:23.190
0:29.216
1:13.380
2
NOR
McLaren
0:21.062
0:23.182
0:29.257
1:13.503
3
PIA
McLaren
0:21.055
0:23.116
0:29.388
1:13.559
4
HAD
Red Bull Racing
0:20.957
0:23.414
0:29.283
1:13.654
5
HAM
Ferrari
0:20.758
0:23.432
0:29.536
1:13.767
6
LEC
Ferrari
0:20.822
0:23.518
0:29.485
1:13.825
7
LIN
Racing Bulls
0:20.938
0:23.406
0:29.428
1:13.895
8
RUS
Mercedes
0:20.941
0:23.537
0:29.475
1:13.953
9
VER
Red Bull Racing
0:21.105
0:23.496
0:29.466
1:14.067
10
SAI
Williams
0:21.241
0:23.491
0:29.544
1:14.276
Q2
Drivers: 16Laps: 119
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are HAD (Red Bull Racing) 20.575s, NOR (McLaren) 22.937s, and ANT (Mercedes) 28.997s.
3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.066s 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 HAD (Red Bull Racing) at 1:12.975; closest challenger is HAM at +0.066s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.074s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 20.575s, 22.937s, and 28.997s 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 +0.497s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
HAD (Red Bull Racing) sets the reference at 1:12.975, 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 0.066s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
HAD (Red Bull Racing) leads the split at 1:12.975, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 HAD (20.575s), S2 NOR (22.937s), and S3 ANT (28.997s).
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 HAD (Red Bull Racing) at 1:12.975, with HAM (Ferrari) next at +0.066s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.074s, 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
HAD
Red Bull Racing
0:20.575
0:23.252
0:29.148
1:12.975
2
HAM
Ferrari
0:20.658
0:23.081
0:29.302
1:13.041
3
NOR
McLaren
0:20.859
0:22.937
0:29.103
1:13.049
4
ANT
Mercedes
0:20.661
0:23.203
0:28.997
1:13.076
5
RUS
Mercedes
0:20.717
0:23.043
0:29.244
1:13.079
6
PIA
McLaren
0:20.937
0:22.994
0:29.269
1:13.285
7
VER
Red Bull Racing
0:20.793
0:23.285
0:29.242
1:13.479
8
LEC
Ferrari
0:20.862
0:23.331
0:29.303
1:13.496
9
LIN
Racing Bulls
0:20.906
0:23.343
0:29.278
1:13.548
10
COL
Alpine
0:21.048
0:23.434
0:29.339
1:13.857
Q3
Drivers: 10Laps: 62
Sector Delta Comparison
Highlights
S1/S2/S3 benchmarks are ANT (Mercedes) 20.547s, RUS (Mercedes) 22.902s, and ANT (Mercedes) 28.919s.
2 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
With a 0.068s 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 RUS (Mercedes) at 1:12.578; closest challenger is ANT at +0.068s.
This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
With P1-to-P3 only +0.151s, marginal sector improvements can quickly reshuffle this split.
Sector Delta Heatmap
Highlights
The heatmap is anchored to S1/S2/S3 references of 20.547s, 22.902s, and 28.919s respectively.
Because 2 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
S2 has the widest sector spread at +0.505s from best to slowest, making it the key separator in this session.
Improvement Analysis
Highlights
RUS (Mercedes) sets the reference at 1:12.578, 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 0.068s, so incremental gains in final attempts can still reorder nearby positions.
Sector Execution Gap
Highlights
RUS (Mercedes) leads the split at 1:12.578, and this stack shows where rivals leave lap potential unused versus their own best sectors.
Sector best references are S1 ANT (20.547s), S2 RUS (22.902s), and S3 ANT (28.919s).
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 RUS (Mercedes) at 1:12.578, with ANT (Mercedes) next at +0.068s.
Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
P1-to-P3 separation is +0.151s, 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
RUS
Mercedes
0:20.600
0:22.902
0:29.076
1:12.578
2
ANT
Mercedes
0:20.547
0:23.061
0:28.919
1:12.646
3
NOR
McLaren
0:20.619
0:22.927
0:29.120
1:12.729
4
PIA
McLaren
0:20.774
0:22.926
0:29.081
1:12.781
5
HAM
Ferrari
0:20.606
0:23.029
0:29.233
1:12.868
6
VER
Red Bull Racing
0:20.580
0:23.155
0:29.172
1:12.907
7
HAD
Red Bull Racing
0:20.549
0:23.218
0:29.168
1:12.935
8
LEC
Ferrari
0:20.656
0:23.143
0:29.151
1:12.976
9
LIN
Racing Bulls
0:20.654
0:23.309
0:29.317
1:13.280
10
COL
Alpine
0:20.997
0:23.407
0:29.250
1:13.697
Race
Drivers: 21Laps: 1206
Position Trace
Highlights
Final order reference is ANT, HAM, VER, 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 (HAM, VER) to separate strategy timing from raw pace.
Lap Time Trace
Highlights
ANT (Mercedes) leads at 1:15.712, with HAM at +0.408s, 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 +0.442s, which indicates how much variation contenders could tolerate during pit cycles.
Stint Timeline (Compound Coded)
Highlights
Observed stop profile spans 2 to 4 stints across the listed runners, and the front reference is ANT with a median pace of 1:15.712.
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 1:15.712, 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, HAM, and VER to estimate who can extend windows without a major pace penalty.
Degradation-Corrected Pace
Highlights
ANT (Mercedes) is the corrected baseline at 1:15.712, with HAM at +0.408s 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 0.408s to P2 indicates whether raw result order is supported by sustainable pace.
