PaddockIQ

Weekend Analysis

2026 Round 2 | Chinese Grand Prix

FP1

Drivers: 22Laps: 432

Pace Distribution

FP1 Pace Distribution

Highlights

  • FP1 includes 432 cleaned timed laps, with RUS (Mercedes) setting the top reference at 1:34.090.
  • The order fans from +0.485s at P5 to +1.900s 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

FP1 Median Pace Delta to Fastest

Highlights

  • Median pace baseline is RUS (Mercedes) at 1:34.090, with immediate challengers at +0.259s and +0.391s.
  • Delta growth to +0.485s (P5) and +1.900s (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

FP1 Sector Delta Heatmap

Highlights

  • FP1 sector map is anchored to RUS (Mercedes) at 1:34.090, with the first chase gap at +0.259s.
  • The spread expands from +0.391s at P3 to +1.900s 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

FP1 Pace vs Consistency

Highlights

  • RUS (Mercedes) is the pace anchor at 1:34.090 over 23 laps, while ANT and HAM sit at +0.259s and +0.391s.
  • 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

FP1 Long-Run Pace

Highlights

  • Long-run reference is ANT (Mercedes) at 96.215s, with RUS at +0.100s and PIA at +0.558s.
  • 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 +1.532s to P5 and +2.213s from fastest to slowest.

Compound Usage Mix

FP1 Compound Usage Mix

Highlights

  • Highest soft-running share: HAM (71.4%). Highest medium share: RUS (84.6%).
  • 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 HUL (33.3% / 66.7% / 0.0%); compound bias can reflect deliberate program masking as much as pure pace.

Team Mean vs Top Speed

FP1 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.
PosDriverTeamTop-5 Avg PaceLaps
1RUSMercedes1:34.09023
2ANTMercedes1:34.34923
3HAMFerrari1:34.48119
4PIAMcLaren1:34.53224
5LECFerrari1:34.57524
6NORMcLaren1:34.73623
7HULAudi1:35.36623
8BEAHaas F1 Team1:35.37121
9GASAlpine1:35.77923
10OCOHaas F1 Team1:35.99019

SQ1

Drivers: 21Laps: 107

Sector Delta Comparison

SQ1 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are RUS (Mercedes) 24.276s, HAM (Ferrari) 28.061s, and HAM (Ferrari) 40.403s.
  • 2 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.118s table gap from P1 to P2, even one mid-sector correction can materially change grid order.

Best Lap Delta to Fastest

SQ1 Best Lap Delta to Fastest

Highlights

  • Best-lap benchmark is RUS (Mercedes) at 1:33.030; closest challenger is HAM at +0.118s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.164s, marginal sector improvements can quickly reshuffle this split.

Sector Delta Heatmap

SQ1 Sector Delta Heatmap

Highlights

  • The heatmap is anchored to S1/S2/S3 references of 24.276s, 28.061s, and 40.403s respectively.
  • Because 2 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
  • S3 has the widest sector spread at +0.718s from best to slowest, making it the key separator in this session.

Improvement Analysis

SQ1 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:33.030, 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 0.118s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

SQ1 Sector Execution Gap

Highlights

  • RUS (Mercedes) leads the split at 1:33.030, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 RUS (24.276s), S2 HAM (28.061s), and S3 HAM (40.403s).
  • The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.

Fastest Two Lap Delta

SQ1 Fastest Two Lap Delta

Highlights

  • SQ1 reference lap is RUS (Mercedes) at 1:33.030, with HAM (Ferrari) next at +0.118s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.164s, so even small mid-lap gains can materially change the front order in this split.
PosDriverTeamS1 (s)S2 (s)S3 (s)Best Lap (s)
1 RUS Mercedes 0:24.276 0:28.182 0:40.572 1:33.030
2 HAM Ferrari 0:24.684 0:28.061 0:40.403 1:33.148
3 LEC Ferrari 0:24.395 0:28.150 0:40.552 1:33.194
4 ANT Mercedes 0:24.508 0:28.154 0:40.793 1:33.455
5 NOR McLaren 0:24.587 0:28.412 0:40.784 1:33.783
6 PIA McLaren 0:24.517 0:28.436 0:40.860 1:33.813
7 GAS Alpine 0:24.515 0:28.334 0:41.121 1:33.970
8 HUL Audi 0:24.701 0:28.415 0:40.635 1:33.997
9 OCO Haas F1 Team 0:24.802 0:28.248 0:41.037 1:34.087
10 LAW Racing Bulls 0:24.813 0:28.492 0:40.778 1:34.110

SQ2

Drivers: 16Laps: 72

Sector Delta Comparison

SQ2 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are RUS (Mercedes) 24.062s, RUS (Mercedes) 27.790s, and RUS (Mercedes) 40.236s.
  • 1 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.050s table gap from P1 to P2, even one mid-sector correction can materially change grid order.

Best Lap Delta to Fastest

SQ2 Best Lap Delta to Fastest

Highlights

  • Best-lap benchmark is RUS (Mercedes) at 1:32.241; closest challenger is ANT at +0.050s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.361s, marginal sector improvements can quickly reshuffle this split.

Sector Delta Heatmap

SQ2 Sector Delta Heatmap

Highlights

  • The heatmap is anchored to S1/S2/S3 references of 24.062s, 27.790s, and 40.236s respectively.
  • Because 1 driver(s) share sector benchmarks, the chart highlights where contenders trade strengths across the lap.
  • S2 has the widest sector spread at +0.687s from best to slowest, making it the key separator in this session.

Improvement Analysis

SQ2 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:32.241, 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 0.050s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

SQ2 Sector Execution Gap

Highlights

  • RUS (Mercedes) leads the split at 1:32.241, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 RUS (24.062s), S2 RUS (27.790s), and S3 RUS (40.236s).
  • The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.

Fastest Two Lap Delta

SQ2 Fastest Two Lap Delta

Highlights

  • SQ2 reference lap is RUS (Mercedes) at 1:32.241, with ANT (Mercedes) next at +0.050s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.361s, so even small mid-lap gains can materially change the front order in this split.
PosDriverTeamS1 (s)S2 (s)S3 (s)Best Lap (s)
1 RUS Mercedes 0:24.062 0:27.790 0:40.236 1:32.241
2 ANT Mercedes 0:24.204 0:27.806 0:40.281 1:32.291
3 LEC Ferrari 0:24.184 0:28.106 0:40.312 1:32.602
4 PIA McLaren 0:24.363 0:28.101 0:40.569 1:33.038
5 HAM Ferrari 0:24.464 0:28.120 0:40.419 1:33.042
6 NOR McLaren 0:24.356 0:28.086 0:40.549 1:33.086
7 GAS Alpine 0:24.447 0:28.255 0:40.703 1:33.405
8 BEA Haas F1 Team 0:24.560 0:28.196 0:40.745 1:33.501
9 VER Red Bull Racing 0:24.600 0:28.430 0:40.532 1:33.564
10 HAD Red Bull Racing 0:24.650 0:28.477 0:40.493 1:33.620

SQ3

Drivers: 10Laps: 29

Sector Delta Comparison

SQ3 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are PIA (McLaren) 23.913s, ANT (Mercedes) 27.558s, and RUS (Mercedes) 39.989s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.289s table gap from P1 to P2, even one mid-sector correction can materially change grid order.

Best Lap Delta to Fastest

SQ3 Best Lap Delta to Fastest

Highlights

  • Best-lap benchmark is RUS (Mercedes) at 1:31.520; closest challenger is ANT at +0.289s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.621s, marginal sector improvements can quickly reshuffle this split.

Sector Delta Heatmap

SQ3 Sector Delta Heatmap

Highlights

  • The heatmap is anchored to S1/S2/S3 references of 23.913s, 27.558s, and 39.989s 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 +1.020s from best to slowest, making it the key separator in this session.

Improvement Analysis

SQ3 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:31.520, 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 0.289s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

SQ3 Sector Execution Gap

Highlights

  • RUS (Mercedes) leads the split at 1:31.520, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 PIA (23.913s), S2 ANT (27.558s), and S3 RUS (39.989s).
  • The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.

Fastest Two Lap Delta

SQ3 Fastest Two Lap Delta

Highlights

  • SQ3 reference lap is RUS (Mercedes) at 1:31.520, with ANT (Mercedes) next at +0.289s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.621s, so even small mid-lap gains can materially change the front order in this split.
PosDriverTeamS1 (s)S2 (s)S3 (s)Best Lap (s)
1 RUS Mercedes 0:23.962 0:27.569 0:39.989 1:31.520
2 ANT Mercedes 0:23.966 0:27.558 0:40.213 1:31.809
3 NOR McLaren 0:23.961 0:27.616 0:40.564 1:32.141
4 HAM Ferrari 0:24.110 0:27.694 0:40.357 1:32.161
5 PIA McLaren 0:23.913 0:27.793 0:40.518 1:32.224
6 LEC Ferrari 0:24.105 0:27.770 0:40.359 1:32.528
7 GAS Alpine 0:24.293 0:27.840 0:40.755 1:32.888
8 VER Red Bull Racing 0:24.404 0:28.258 0:40.592 1:33.254
9 BEA Haas F1 Team 0:24.401 0:28.079 0:40.929 1:33.409
10 HAD Red Bull Racing 0:24.478 0:28.236 0:41.009 1:33.723

Sprint

Drivers: 22Laps: 362

Position Trace

Sprint Position Trace

Highlights

  • Final order reference is RUS, LEC, HAM, 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 (LEC, HAM) to separate strategy timing from raw pace.

Lap Time Trace

Sprint Lap Time Trace

Highlights

  • RUS (Mercedes) leads at 1:36.960, with LEC at +0.575s, 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 +0.654s, which indicates how much variation contenders could tolerate during pit cycles.

Stint Timeline (Compound Coded)

Sprint Stint Timeline (Compound Coded)

Highlights

  • Observed stop profile spans 1 to 2 stints across the listed runners, and the front reference is RUS with a median pace of 1:36.960.
  • 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

Sprint Tyre Degradation

Highlights

  • RUS (Mercedes) is the pace reference at 1:36.960, 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, LEC, and HAM to estimate who can extend windows without a major pace penalty.

Degradation-Corrected Pace

Sprint Degradation-Corrected Pace

Highlights

  • RUS (Mercedes) is the corrected baseline at 1:36.960, with LEC at +0.575s 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 0.575s to P2 indicates whether raw result order is supported by sustainable pace.
PosDriverTeamMedian Pace (s)Fastest Lap (s)Stints
1 RUS Mercedes 1:36.960 1:35.101 2
2 LEC Ferrari 1:37.535 1:34.753 2
3 HAM Ferrari 1:37.614 1:34.926 2
4 NOR McLaren 1:37.947 1:35.708 2
5 ANT Mercedes 1:37.251 1:34.760 2
6 PIA McLaren 1:38.039 1:35.635 2
7 LAW Racing Bulls 1:39.115 1:37.882 1
8 BEA Haas F1 Team 1:39.605 1:37.374 1
9 VER Red Bull Racing 1:39.332 1:35.774 2
10 OCO Haas F1 Team 1:39.403 1:37.363 1

Q1

Drivers: 22Laps: 126

Sector Delta Comparison

Q1 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are RUS (Mercedes) 24.208s, ANT (Mercedes) 28.048s, and VER (Red Bull Racing) 40.613s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.087s table gap from P1 to P2, even one mid-sector correction can materially change grid order.

Best Lap Delta to Fastest

Q1 Best Lap Delta to Fastest

Highlights

  • Best-lap benchmark is LEC (Ferrari) at 1:33.175; closest challenger is RUS at +0.087s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.130s, marginal sector improvements can quickly reshuffle this split.

Sector Delta Heatmap

Q1 Sector Delta Heatmap

Highlights

  • The heatmap is anchored to S1/S2/S3 references of 24.208s, 28.048s, and 40.613s 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 +0.452s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q1 Improvement Analysis

Highlights

  • LEC (Ferrari) sets the reference at 1:33.175, 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 0.087s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q1 Sector Execution Gap

Highlights

  • LEC (Ferrari) leads the split at 1:33.175, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 RUS (24.208s), S2 ANT (28.048s), and S3 VER (40.613s).
  • The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.

Fastest Two Lap Delta

Q1 Fastest Two Lap Delta

Highlights

  • Q1 reference lap is LEC (Ferrari) at 1:33.175, with RUS (Mercedes) next at +0.087s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.130s, so even small mid-lap gains can materially change the front order in this split.
PosDriverTeamS1 (s)S2 (s)S3 (s)Best Lap (s)
1 LEC Ferrari 0:24.376 0:28.073 0:40.726 1:33.175
2 RUS Mercedes 0:24.208 0:28.109 0:40.945 1:33.262
3 ANT Mercedes 0:24.288 0:28.048 0:40.969 1:33.305
4 VER Red Bull Racing 0:24.413 0:28.391 0:40.613 1:33.417
5 HAM Ferrari 0:24.336 0:28.133 0:41.053 1:33.522
6 NOR McLaren 0:24.314 0:28.156 0:41.065 1:33.535
7 BOR Audi 0:24.539 0:28.214 0:40.796 1:33.549
8 PIA McLaren 0:24.378 0:28.205 0:40.988 1:33.590
9 HAD Red Bull Racing 0:24.465 0:28.324 0:40.843 1:33.632
10 COL Alpine 0:24.439 0:28.248 0:40.947 1:33.634

Q2

Drivers: 16Laps: 68

Sector Delta Comparison

Q2 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are LEC (Ferrari) 24.022s, ANT (Mercedes) 27.726s, and RUS (Mercedes) 40.570s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.043s table gap from P1 to P2, even one mid-sector correction can materially change grid order.

Best Lap Delta to Fastest

Q2 Best Lap Delta to Fastest

Highlights

  • Best-lap benchmark is ANT (Mercedes) at 1:32.443; closest challenger is LEC at +0.043s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.080s, marginal sector improvements can quickly reshuffle this split.

Sector Delta Heatmap

Q2 Sector Delta Heatmap

Highlights

  • The heatmap is anchored to S1/S2/S3 references of 24.022s, 27.726s, and 40.570s 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 +0.503s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q2 Improvement Analysis

Highlights

  • ANT (Mercedes) sets the reference at 1:32.443, 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 0.043s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q2 Sector Execution Gap

Highlights

  • ANT (Mercedes) leads the split at 1:32.443, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 LEC (24.022s), S2 ANT (27.726s), and S3 RUS (40.570s).
  • The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.

Fastest Two Lap Delta

Q2 Fastest Two Lap Delta

Highlights

  • Q2 reference lap is ANT (Mercedes) at 1:32.443, with LEC (Ferrari) next at +0.043s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.080s, so even small mid-lap gains can materially change the front order in this split.
PosDriverTeamS1 (s)S2 (s)S3 (s)Best Lap (s)
1 ANT Mercedes 0:24.141 0:27.726 0:40.576 1:32.443
2 LEC Ferrari 0:24.022 0:27.729 0:40.735 1:32.486
3 RUS Mercedes 0:24.085 0:27.868 0:40.570 1:32.523
4 HAM Ferrari 0:24.156 0:27.771 0:40.604 1:32.567
5 NOR McLaren 0:24.209 0:27.900 0:40.789 1:32.910
6 GAS Alpine 0:24.099 0:27.809 0:41.073 1:33.003
7 VER Red Bull Racing 0:24.280 0:28.065 0:40.753 1:33.098
8 PIA McLaren 0:24.222 0:27.873 0:40.957 1:33.130
9 BEA Haas F1 Team 0:24.234 0:27.843 0:41.002 1:33.197
10 HAD Red Bull Racing 0:24.474 0:28.023 0:40.729 1:33.352

Q3

Drivers: 10Laps: 38

Sector Delta Comparison

Q3 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are NOR (McLaren) 23.995s, LEC (Ferrari) 27.660s, and ANT (Mercedes) 40.387s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.222s table gap from P1 to P2, even one mid-sector correction can materially change grid order.

Best Lap Delta to Fastest

Q3 Best Lap Delta to Fastest

Highlights

  • Best-lap benchmark is ANT (Mercedes) at 1:32.064; closest challenger is RUS at +0.222s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.351s, marginal sector improvements can quickly reshuffle this split.

Sector Delta Heatmap

Q3 Sector Delta Heatmap

Highlights

  • The heatmap is anchored to S1/S2/S3 references of 23.995s, 27.660s, and 40.387s 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 +0.544s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q3 Improvement Analysis

Highlights

  • ANT (Mercedes) sets the reference at 1:32.064, 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 0.222s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q3 Sector Execution Gap

Highlights

  • ANT (Mercedes) leads the split at 1:32.064, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 NOR (23.995s), S2 LEC (27.660s), and S3 ANT (40.387s).
  • The tallest color block in each stack marks the biggest execution leak and should be the first setup/driver target.

Fastest Two Lap Delta

Q3 Fastest Two Lap Delta

Highlights

  • Q3 reference lap is ANT (Mercedes) at 1:32.064, with RUS (Mercedes) next at +0.222s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.351s, so even small mid-lap gains can materially change the front order in this split.
PosDriverTeamS1 (s)S2 (s)S3 (s)Best Lap (s)
1 ANT Mercedes 0:24.003 0:27.664 0:40.387 1:32.064
2 RUS Mercedes 0:24.012 0:27.783 0:40.491 1:32.286
3 HAM Ferrari 0:24.080 0:27.696 0:40.535 1:32.415
4 LEC Ferrari 0:24.063 0:27.660 0:40.650 1:32.428
5 PIA McLaren 0:24.120 0:27.729 0:40.493 1:32.550
6 NOR McLaren 0:23.995 0:27.747 0:40.748 1:32.608
7 GAS Alpine 0:24.185 0:27.788 0:40.900 1:32.873
8 VER Red Bull Racing 0:24.359 0:27.975 0:40.668 1:33.002
9 HAD Red Bull Racing 0:24.488 0:27.933 0:40.659 1:33.121
10 BEA Haas F1 Team 0:24.361 0:27.891 0:40.931 1:33.292

Race

Drivers: 18Laps: 904

Position Trace

Race Position Trace

Highlights

  • Final order reference is ANT, RUS, HAM, 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 (RUS, HAM) to separate strategy timing from raw pace.

Lap Time Trace

Race Lap Time Trace

Highlights

  • ANT (Mercedes) leads at 1:36.513, with RUS at +-0.075s, 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 +0.410s, which indicates how much variation contenders could tolerate during pit cycles.

Stint Timeline (Compound Coded)

Race 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 1:36.513.
  • 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

Race Tyre Degradation

Highlights

  • ANT (Mercedes) is the pace reference at 1:36.513, 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, RUS, and HAM to estimate who can extend windows without a major pace penalty.

Degradation-Corrected Pace

Race Degradation-Corrected Pace

Highlights

  • ANT (Mercedes) is the corrected baseline at 1:36.513, with RUS at +-0.075s 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 -0.075s to P2 indicates whether raw result order is supported by sustainable pace.
PosDriverTeamMedian Pace (s)Fastest Lap (s)Stints
1 ANT Mercedes 1:36.513 1:35.275 2
2 RUS Mercedes 1:36.438 1:35.400 2
3 HAM Ferrari 1:36.923 1:36.092 2
4 LEC Ferrari 1:36.851 1:36.011 2
5 BEA Haas F1 Team 1:37.615 1:36.429 2
6 GAS Alpine 1:37.614 1:36.505 2
7 LAW Racing Bulls 1:38.333 1:37.096 2
8 HAD Red Bull Racing 1:38.205 1:37.311 2
9 SAI Williams 1:38.763 1:37.981 2
10 COL Alpine 1:38.589 1:36.783 2