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
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
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
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
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
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
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.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
PIA
McLaren
1:17.374
26
2
LEC
Ferrari
1:17.899
25
3
RUS
Mercedes
1:17.913
24
4
VER
Red Bull Racing
1:18.145
23
5
LAW
Racing Bulls
1:18.535
20
6
LIN
Racing Bulls
1:18.575
25
7
COL
Alpine
1:19.033
22
8
BOR
Audi
1:19.389
25
9
GAS
Alpine
1:19.527
18
10
BEA
Haas F1 Team
1:19.807
18
FP2
Drivers: 22Laps: 487
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
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
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
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
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
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
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.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
HAM
Ferrari
1:17.303
22
2
LEC
Ferrari
1:17.489
25
3
NOR
McLaren
1:17.623
26
4
HUL
Audi
1:17.743
27
5
RUS
Mercedes
1:17.796
23
6
ANT
Mercedes
1:18.364
25
7
PIA
McLaren
1:18.367
19
8
BOR
Audi
1:18.450
23
9
VER
Red Bull Racing
1:18.587
28
10
COL
Alpine
1:18.601
23
FP3
Drivers: 22Laps: 223
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
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
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
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
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
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
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.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
LEC
Ferrari
1:16.629
11
2
HAM
Ferrari
1:17.496
10
3
NOR
McLaren
1:17.680
10
4
HUL
Audi
1:17.850
15
5
SAI
Williams
1:19.754
15
6
STR
Aston Martin
1:20.473
13
7
LIN
Racing Bulls
1:20.636
10
8
PER
Cadillac
1:20.781
16
9
BOT
Cadillac
1:21.100
11
10
VER
Red Bull Racing
1:22.872
8
Q1
Drivers: 22Laps: 77
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
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
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
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
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
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.
Pos
Driver
Team
S1 (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
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
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
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
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
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
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.
Pos
Driver
Team
S1 (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
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
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
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
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
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
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.