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
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
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
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
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
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
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.
Pos
Driver
Team
Top-5 Avg Pace
Laps
1
LEC
Ferrari
1:20.984
29
2
HAM
Ferrari
1:21.371
26
3
VER
Red Bull Racing
1:21.542
21
4
PIA
McLaren
1:21.872
15
5
HAD
Red Bull Racing
1:22.296
18
6
LIN
Racing Bulls
1:22.348
18
7
OCO
Haas F1 Team
1:22.551
22
8
BOR
Audi
1:22.780
18
9
RUS
Mercedes
1:22.873
21
10
SAI
Williams
1:22.912
25
FP2
Drivers: 22Laps: 458
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
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
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
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
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
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
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
1:20.522
27
2
PIA
McLaren
1:20.793
22
3
LEC
Ferrari
1:20.862
25
4
ANT
Mercedes
1:21.217
26
5
HAD
Red Bull Racing
1:21.477
23
6
HUL
Audi
1:21.694
29
7
RUS
Mercedes
1:21.736
24
8
NOR
McLaren
1:21.817
24
9
LAW
Racing Bulls
1:22.116
25
10
LIN
Racing Bulls
1:22.470
27
FP3
Drivers: 20Laps: 283
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
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
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
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
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
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
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
1:20.176
14
2
HAM
Ferrari
1:20.278
17
3
PIA
McLaren
1:20.635
13
4
ANT
Mercedes
1:20.955
15
5
HAD
Red Bull Racing
1:21.085
12
6
RUS
Mercedes
1:21.092
16
7
NOR
McLaren
1:21.108
16
8
VER
Red Bull Racing
1:21.144
11
9
HUL
Audi
1:21.813
17
10
ALB
Williams
1:22.091
12
Q1
Drivers: 20Laps: 123
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
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
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
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
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
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.
Pos
Driver
Team
S1 (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
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
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
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
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
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
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.
Pos
Driver
Team
S1 (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
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
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
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
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
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
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.
Pos
Driver
Team
S1 (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
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
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)
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
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
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.