PaddockIQ

Weekend Analysis

2026 Round 1 | Australian Grand Prix

FP1

Drivers: 21Laps: 394

Pace Distribution

FP1 Pace Distribution

Highlights

  • FP1 includes 394 cleaned timed laps, with LEC (Ferrari) setting the top reference at 1:20.984.
  • The order fans from +1.313s at P5 to +1.928s 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 LEC (Ferrari) at 1:20.984, with immediate challengers at +0.388s and +0.559s.
  • Delta growth to +1.313s (P5) and +1.928s (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 LEC (Ferrari) at 1:20.984, with the first chase gap at +0.388s.
  • The spread expands from +0.559s at P3 to +1.928s 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

  • LEC (Ferrari) is the pace anchor at 1:20.984 over 29 laps, while HAM and VER sit at +0.388s and +0.559s.
  • 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 LEC (Ferrari) at 81.635s, with HAM at +0.331s and LIN at +0.952s.
  • 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 +3.208s to P5 and +4.151s from fastest to slowest.

Compound Usage Mix

FP1 Compound Usage Mix

Highlights

  • Highest soft-running share: LIN (100.0%). Highest medium share: HAD (88.9%).
  • Highest hard-running share: SAI (38.5%), indicating the strongest bias to longer-stint baseline work in this session.
  • Most balanced S/M/H split is LEC (44.4% / 55.6% / 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 LEC (Ferrari).
  • 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
1LECFerrari1:20.98429
2HAMFerrari1:21.37126
3VERRed Bull Racing1:21.54221
4PIAMcLaren1:21.87215
5HADRed Bull Racing1:22.29618
6LINRacing Bulls1:22.34818
7OCOHaas F1 Team1:22.55122
8BORAudi1:22.78018
9RUSMercedes1:22.87321
10SAIWilliams1:22.91225

FP2

Drivers: 22Laps: 458

Pace Distribution

FP2 Pace Distribution

Highlights

  • FP2 includes 458 cleaned timed laps, with HAM (Ferrari) setting the top reference at 1:20.522.
  • The order fans from +0.955s at P5 to +1.948s 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

FP2 Median Pace Delta to Fastest

Highlights

  • Median pace baseline is HAM (Ferrari) at 1:20.522, with immediate challengers at +0.271s and +0.340s.
  • Delta growth to +0.955s (P5) and +1.948s (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

FP2 Sector Delta Heatmap

Highlights

  • FP2 sector map is anchored to HAM (Ferrari) at 1:20.522, with the first chase gap at +0.271s.
  • The spread expands from +0.340s at P3 to +1.948s 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

FP2 Pace vs Consistency

Highlights

  • HAM (Ferrari) is the pace anchor at 1:20.522 over 27 laps, while PIA and LEC sit at +0.271s and +0.340s.
  • 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

FP2 Long-Run Pace

Highlights

  • Long-run reference is HAM (Ferrari) at 80.901s, with RUS at +2.568s and NOR at +2.703s.
  • 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 +3.716s to P5 and +4.957s from fastest to slowest.

Compound Usage Mix

FP2 Compound Usage Mix

Highlights

  • Highest soft-running share: LIN (92.9%). Highest medium share: LAW (86.7%).
  • Highest hard-running share: RUS (92.9%), indicating the strongest bias to longer-stint baseline work in this session.
  • Most balanced S/M/H split is NOR (53.8% / 0.0% / 46.2%); compound bias can reflect deliberate program masking as much as pure pace.

Team Mean vs Top Speed

FP2 Team Mean vs Top Speed

Highlights

  • FP2 speed profile links team-level mean speed to terminal speed, with the pace reference set by HAM (Ferrari).
  • 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
1HAMFerrari1:20.52227
2PIAMcLaren1:20.79322
3LECFerrari1:20.86225
4ANTMercedes1:21.21726
5HADRed Bull Racing1:21.47723
6HULAudi1:21.69429
7RUSMercedes1:21.73624
8NORMcLaren1:21.81724
9LAWRacing Bulls1:22.11625
10LINRacing Bulls1:22.47027

FP3

Drivers: 20Laps: 283

Pace Distribution

FP3 Pace Distribution

Highlights

  • FP3 includes 283 cleaned timed laps, with LEC (Ferrari) setting the top reference at 1:20.176.
  • The order fans from +0.909s at P5 to +1.914s 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

FP3 Median Pace Delta to Fastest

Highlights

  • Median pace baseline is LEC (Ferrari) at 1:20.176, with immediate challengers at +0.101s and +0.459s.
  • Delta growth to +0.909s (P5) and +1.914s (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

FP3 Sector Delta Heatmap

Highlights

  • FP3 sector map is anchored to LEC (Ferrari) at 1:20.176, with the first chase gap at +0.101s.
  • The spread expands from +0.459s at P3 to +1.914s 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

FP3 Pace vs Consistency

Highlights

  • LEC (Ferrari) is the pace anchor at 1:20.176 over 14 laps, while HAM and PIA sit at +0.101s and +0.459s.
  • 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

FP3 Long-Run Pace

Highlights

  • Long-run reference is ANT (Mercedes) at 81.170s, with PIA at +0.258s and RUS at +0.560s.
  • 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 +0.930s to P5 and +1.016s from fastest to slowest.

Compound Usage Mix

FP3 Compound Usage Mix

Highlights

  • Highest soft-running share: LEC (100.0%). Highest medium share: ALB (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 ALB (16.7% / 83.3% / 0.0%); compound bias can reflect deliberate program masking as much as pure pace.

Team Mean vs Top Speed

FP3 Team Mean vs Top Speed

Highlights

  • FP3 speed profile links team-level mean speed to terminal speed, with the pace reference set by LEC (Ferrari).
  • 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
1LECFerrari1:20.17614
2HAMFerrari1:20.27817
3PIAMcLaren1:20.63513
4ANTMercedes1:20.95515
5HADRed Bull Racing1:21.08512
6RUSMercedes1:21.09216
7NORMcLaren1:21.10816
8VERRed Bull Racing1:21.14411
9HULAudi1:21.81317
10ALBWilliams1:22.09112

Q1

Drivers: 20Laps: 123

Sector Delta Comparison

Q1 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are RUS (Mercedes) 27.908s, RUS (Mercedes) 17.413s, and PIA (McLaren) 34.033s.
  • 2 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.157s 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 RUS (Mercedes) at 1:19.507; closest challenger is PIA at +0.157s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.304s, 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 27.908s, 17.413s, and 34.033s 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 +0.652s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q1 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:19.507, 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 0.157s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q1 Sector Execution Gap

Highlights

  • RUS (Mercedes) leads the split at 1:19.507, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 RUS (27.908s), S2 RUS (17.413s), and S3 PIA (34.033s).
  • 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 RUS (Mercedes) at 1:19.507, with PIA (McLaren) next at +0.157s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.304s, 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 0:27.908 0:17.413 0:34.186 1:19.507
2 PIA McLaren 0:27.947 0:17.592 0:34.033 1:19.664
3 HAM Ferrari 0:27.944 0:17.609 0:34.258 1:19.811
4 NOR McLaren 0:28.019 0:17.765 0:34.226 1:20.010
5 HAD Red Bull Racing 0:28.076 0:17.558 0:34.326 1:20.023
6 ANT Mercedes 0:28.214 0:17.610 0:34.130 1:20.120
7 LEC Ferrari 0:28.211 0:17.611 0:34.404 1:20.226
8 LIN Racing Bulls 0:28.233 0:17.454 0:34.468 1:20.409
9 LAW Racing Bulls 0:28.452 0:17.551 0:34.488 1:20.491
10 BOR Audi 0:28.263 0:17.491 0:34.685 1:20.495

Q2

Drivers: 16Laps: 88

Sector Delta Comparison

Q2 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are RUS (Mercedes) 27.662s, RUS (Mercedes) 17.287s, and RUS (Mercedes) 33.831s.
  • 1 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.423s 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 RUS (Mercedes) at 1:18.934; closest challenger is LEC at +0.423s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.501s, 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 27.662s, 17.287s, and 33.831s 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 +0.700s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q2 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:18.934, 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 0.423s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q2 Sector Execution Gap

Highlights

  • RUS (Mercedes) leads the split at 1:18.934, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 RUS (27.662s), S2 RUS (17.287s), and S3 RUS (33.831s).
  • 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 RUS (Mercedes) at 1:18.934, with LEC (Ferrari) next at +0.423s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.501s, 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 0:27.662 0:17.287 0:33.831 1:18.934
2 LEC Ferrari 0:27.679 0:17.527 0:34.151 1:19.357
3 ANT Mercedes 0:27.908 0:17.495 0:33.936 1:19.435
4 PIA McLaren 0:27.811 0:17.537 0:34.003 1:19.525
5 HAD Red Bull Racing 0:27.798 0:17.564 0:34.173 1:19.653
6 NOR McLaren 0:27.798 0:17.642 0:34.307 1:19.882
7 HAM Ferrari 0:27.839 0:17.630 0:34.315 1:19.921
8 LIN Racing Bulls 0:28.173 0:17.312 0:34.418 1:19.971
9 LAW Racing Bulls 0:28.198 0:17.360 0:34.352 1:20.144
10 BOR Audi 0:28.272 0:17.418 0:34.531 1:20.221

Q3

Drivers: 9Laps: 35

Sector Delta Comparison

Q3 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are RUS (Mercedes) 27.498s, RUS (Mercedes) 17.284s, and RUS (Mercedes) 33.736s.
  • 1 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.293s 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 RUS (Mercedes) at 1:18.518; closest challenger is ANT at +0.293s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.785s, 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 27.498s, 17.284s, and 33.736s 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 +1.139s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q3 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:18.518, 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 0.293s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q3 Sector Execution Gap

Highlights

  • RUS (Mercedes) leads the split at 1:18.518, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 RUS (27.498s), S2 RUS (17.284s), and S3 RUS (33.736s).
  • 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 RUS (Mercedes) at 1:18.518, with ANT (Mercedes) next at +0.293s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.785s, 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 0:27.498 0:17.284 0:33.736 1:18.518
2 ANT Mercedes 0:27.556 0:17.440 0:33.815 1:18.811
3 HAD Red Bull Racing 0:27.747 0:17.453 0:34.036 1:19.303
4 LEC Ferrari 0:27.761 0:17.505 0:34.061 1:19.327
5 PIA McLaren 0:27.737 0:17.565 0:33.988 1:19.380
6 NOR McLaren 0:27.754 0:17.568 0:34.077 1:19.475
7 HAM Ferrari 0:27.756 0:17.570 0:34.152 1:19.478
8 LAW Racing Bulls 0:28.206 0:17.395 0:34.393 1:19.994
9 LIN Racing Bulls 0:28.023 0:18.423 0:34.801 1:21.247

Race

Drivers: 20Laps: 980

Position Trace

Race Position Trace

Highlights

  • Final order reference is RUS, ANT, 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 RUS versus nearest finishers (ANT, LEC) to separate strategy timing from raw pace.

Lap Time Trace

Race Lap Time Trace

Highlights

  • RUS (Mercedes) leads at 1:23.147, with ANT at +-0.068s, 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 +0.175s, which indicates how much variation contenders could tolerate during pit cycles.

Stint Timeline (Compound Coded)

Race Stint Timeline (Compound Coded)

Highlights

  • Observed stop profile spans 2 to 3 stints across the listed runners, and the front reference is RUS with a median pace of 1:23.147.
  • 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

  • RUS (Mercedes) is the pace reference at 1:23.147, 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, ANT, and LEC to estimate who can extend windows without a major pace penalty.

Degradation-Corrected Pace

Race Degradation-Corrected Pace

Highlights

  • RUS (Mercedes) is the corrected baseline at 1:23.147, with ANT at +-0.068s 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 -0.068s to P2 indicates whether raw result order is supported by sustainable pace.
PosDriverTeamMedian Pace (s)Fastest Lap (s)Stints
1 RUS Mercedes 1:23.147 1:22.670 2
2 ANT Mercedes 1:23.079 1:22.417 2
3 LEC Ferrari 1:23.322 1:22.579 2
4 HAM Ferrari 1:23.474 1:22.423 2
5 NOR McLaren 1:23.896 1:22.358 3
6 VER Red Bull Racing 1:23.675 1:22.091 3
7 BEA Haas F1 Team 1:24.784 1:24.020 2
8 LIN Racing Bulls 1:24.912 1:24.182 2
9 BOR Audi 1:24.826 1:23.257 3
10 GAS Alpine 1:25.268 1:24.486 2