PaddockIQ

Weekend Analysis

2026 Round 7 | Barcelona Grand Prix

FP1

Drivers: 15Laps: 452

Pace Distribution

FP1 Pace Distribution

Highlights

  • FP1 includes 452 cleaned timed laps, with PIA (McLaren) setting the top reference at 1:17.374.
  • The order fans from +1.161s at P5 to +2.433s 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 PIA (McLaren) at 1:17.374, with immediate challengers at +0.525s and +0.539s.
  • Delta growth to +1.161s (P5) and +2.433s (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 PIA (McLaren) at 1:17.374, with the first chase gap at +0.525s.
  • The spread expands from +0.539s at P3 to +2.433s 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

  • PIA (McLaren) is the pace anchor at 1:17.374 over 26 laps, while LEC and RUS sit at +0.525s and +0.539s.
  • 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 COL (Alpine) at 81.718s, with RUS at +0.042s and BOR at +0.754s.
  • 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 +0.754s to P3 and +0.754s from fastest to slowest.

Compound Usage Mix

FP1 Compound Usage Mix

Highlights

  • Highest soft-running share: RUS (78.6%). Highest medium share: GAS (83.3%).
  • Highest hard-running share: BEA (55.6%), indicating the strongest bias to longer-stint baseline work in this session.
  • Most balanced S/M/H split is PIA (50.0% / 50.0% / 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 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.
PosDriverTeamTop-5 Avg PaceLaps
1PIAMcLaren1:17.37426
2LECFerrari1:17.89925
3RUSMercedes1:17.91324
4VERRed Bull Racing1:18.14523
5LAWRacing Bulls1:18.53520
6LINRacing Bulls1:18.57525
7COLAlpine1:19.03322
8BORAudi1:19.38925
9GASAlpine1:19.52718
10BEAHaas F1 Team1:19.80718

FP2

Drivers: 22Laps: 487

Pace Distribution

FP2 Pace Distribution

Highlights

  • FP2 includes 487 cleaned timed laps, with HAM (Ferrari) setting the top reference at 1:17.303.
  • The order fans from +0.493s at P5 to +1.298s 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 1:17.303, with immediate challengers at +0.186s and +0.320s.
  • Delta growth to +0.493s (P5) and +1.298s (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 1:17.303, with the first chase gap at +0.186s.
  • The spread expands from +0.320s at P3 to +1.298s 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 1:17.303 over 22 laps, while LEC and NOR sit at +0.186s and +0.320s.
  • 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 ANT (Mercedes) at 81.339s, with VER at +0.317s.
  • 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 +0.317s to P2 and +0.317s from fastest to slowest.

Compound Usage Mix

FP2 Compound Usage Mix

Highlights

  • Highest soft-running share: ANT (63.6%). Highest medium share: LEC (87.5%).
  • Highest hard-running share: VER (50.0%), indicating the strongest bias to longer-stint baseline work in this session.
  • Most balanced S/M/H split is VER (50.0% / 0.0% / 50.0%); 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
1HAMFerrari1:17.30322
2LECFerrari1:17.48925
3NORMcLaren1:17.62326
4HULAudi1:17.74327
5RUSMercedes1:17.79623
6ANTMercedes1:18.36425
7PIAMcLaren1:18.36719
8BORAudi1:18.45023
9VERRed Bull Racing1:18.58728
10COLAlpine1:18.60123

FP3

Drivers: 22Laps: 223

Pace Distribution

FP3 Pace Distribution

Highlights

  • FP3 includes 223 cleaned timed laps, with LEC (Ferrari) setting the top reference at 1:16.629.
  • The order fans from +3.125s at P5 to +6.243s 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 1:16.629, with immediate challengers at +0.867s and +1.051s.
  • Delta growth to +3.125s (P5) and +6.243s (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 1:16.629, with the first chase gap at +0.867s.
  • The spread expands from +1.051s at P3 to +6.243s 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 1:16.629 over 11 laps, while HAM and NOR sit at +0.867s and +1.051s.
  • 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 SAI (Williams) at 82.216s, with BOT at +0.740s.
  • 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 +0.740s to P2 and +0.740s from fastest to slowest.

Compound Usage Mix

FP3 Compound Usage Mix

Highlights

  • Highest soft-running share: LEC (100.0%). Highest medium share: PER (85.7%).
  • 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 (25.0% / 75.0% / 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
1LECFerrari1:16.62911
2HAMFerrari1:17.49610
3NORMcLaren1:17.68010
4HULAudi1:17.85015
5SAIWilliams1:19.75415
6STRAston Martin1:20.47313
7LINRacing Bulls1:20.63610
8PERCadillac1:20.78116
9BOTCadillac1:21.10011
10VERRed Bull Racing1:22.8728

Q1

Drivers: 22Laps: 77

Sector Delta Comparison

Q1 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are HAM (Ferrari) 22.018s, RUS (Mercedes) 30.563s, and PIA (McLaren) 22.959s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.092s 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 HAM (Ferrari) at 1:15.625; closest challenger is RUS at +0.092s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.339s, 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 22.018s, 30.563s, and 22.959s 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 +0.458s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q1 Improvement Analysis

Highlights

  • HAM (Ferrari) sets the reference at 1:15.625, 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 0.092s, so incremental gains in final attempts can still reorder nearby positions.

Sector Execution Gap

Q1 Sector Execution Gap

Highlights

  • HAM (Ferrari) leads the split at 1:15.625, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 HAM (22.018s), S2 RUS (30.563s), and S3 PIA (22.959s).
  • 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 HAM (Ferrari) at 1:15.625, with RUS (Mercedes) next at +0.092s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.339s, 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 HAM Ferrari 0:22.018 0:30.596 0:23.011 1:15.625
2 RUS Mercedes 0:22.063 0:30.563 0:23.091 1:15.717
3 LEC Ferrari 0:22.209 0:30.719 0:23.036 1:15.964
4 ANT Mercedes 0:22.179 0:30.624 0:23.174 1:15.977
5 HUL Audi 0:22.318 0:30.739 0:23.009 1:16.066
6 PIA McLaren 0:22.256 0:30.923 0:22.959 1:16.138
7 NOR McLaren 0:22.048 0:31.021 0:23.218 1:16.287
8 VER Red Bull Racing 0:22.037 0:30.966 0:23.349 1:16.352
9 LIN Racing Bulls 0:22.198 0:30.923 0:23.304 1:16.425
10 HAD Red Bull Racing 0:22.177 0:30.899 0:23.351 1:16.427

Q2

Drivers: 16Laps: 50

Sector Delta Comparison

Q2 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are VER (Red Bull Racing) 21.851s, ANT (Mercedes) 30.339s, and NOR (McLaren) 22.837s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.053s 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 1:15.228; closest challenger is LEC at +0.053s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.067s, 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 21.851s, 30.339s, and 22.837s 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 +0.355s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q2 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:15.228, 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 0.053s, 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 1:15.228, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 VER (21.851s), S2 ANT (30.339s), and S3 NOR (22.837s).
  • 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 1:15.228, with LEC (Ferrari) next at +0.053s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.067s, 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 0:21.965 0:30.343 0:22.920 1:15.228
2 LEC Ferrari 0:21.936 0:30.493 0:22.852 1:15.281
3 ANT Mercedes 0:22.076 0:30.339 0:22.880 1:15.295
4 NOR McLaren 0:22.099 0:30.425 0:22.837 1:15.361
5 HAM Ferrari 0:21.973 0:30.503 0:22.942 1:15.418
6 VER Red Bull Racing 0:21.851 0:30.517 0:23.116 1:15.484
7 PIA McLaren 0:22.063 0:30.527 0:22.928 1:15.518
8 LAW Racing Bulls 0:22.038 0:30.610 0:22.937 1:15.585
9 HAD Red Bull Racing 0:21.945 0:30.694 0:23.115 1:15.754
10 HUL Audi 0:22.191 0:30.655 0:22.922 1:15.768

Q3

Drivers: 9Laps: 24

Sector Delta Comparison

Q3 Sector Delta Comparison

Highlights

  • S1/S2/S3 benchmarks are VER (Red Bull Racing) 21.828s, HAM (Ferrari) 30.008s, and RUS (Mercedes) 22.715s.
  • 3 different driver(s) hold sector-best times, so lap ranking is shaped by sector balance rather than a single dominant split.
  • With a 0.064s 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 1:14.679; closest challenger is HAM at +0.064s.
  • This reflects peak single-lap execution potential, so a low delta does not always imply equivalent long-run pace.
  • With P1-to-P3 only +0.319s, 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 21.828s, 30.008s, and 22.715s 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 +1.049s from best to slowest, making it the key separator in this session.

Improvement Analysis

Q3 Improvement Analysis

Highlights

  • RUS (Mercedes) sets the reference at 1:14.679, 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 0.064s, 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 1:14.679, and this stack shows where rivals leave lap potential unused versus their own best sectors.
  • Sector best references are S1 VER (21.828s), S2 HAM (30.008s), and S3 RUS (22.715s).
  • 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 1:14.679, with HAM (Ferrari) next at +0.064s.
  • Long same-direction delta segments indicate where one lap held a sustained gain rather than isolated corner-only spikes.
  • P1-to-P3 separation is +0.319s, 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 0:21.849 0:30.115 0:22.715 1:14.679
2 HAM Ferrari 0:21.886 0:30.008 0:22.849 1:14.743
3 ANT Mercedes 0:21.879 0:30.204 0:22.915 1:14.998
4 NOR McLaren 0:21.992 0:30.237 0:22.772 1:15.001
5 VER Red Bull Racing 0:21.828 0:30.184 0:22.875 1:15.021
6 HAD Red Bull Racing 0:21.942 0:30.212 0:22.923 1:15.077
7 PIA McLaren 0:21.900 0:30.255 0:22.720 1:15.090
8 LAW Racing Bulls 0:22.438 0:30.822 0:23.282 1:16.542
9 HUL Audi 0:22.418 0:31.057 0:23.182 1:16.657
Race data is not available yet.