Lots of cars with significant updates – a bit of a reset in IMSA as seen here.
Lots of testing laps! #04 LMP2 Crowdstrike puttin gin the most laps. The GTP Aston Martin was limited by an engine problem.
This post is mainly the numbers. Not so much commentary. Things to do, people to meet…
GTD
Practice laps
#912 Porsche put the miles in. Mileage was spread unevenly across the field and some cars completing a significantly higher number of laps than the rest of the class.
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Fastest Laps and Averages
he GTD field shows a compressed spread in Top-10, Top-50, and Top-100 average lap times, with no single entry separating by a large margin as the sample size increases, indicating close long-run pace across the class.
When Fastest laps were set
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Sectors
GTD sector times show small deltas between entries in S1, S2, and S3, with sector rankings broadly aligning to overall average lap pace rather than any car consistently leading a specific sector.
Drivers
Multiple GTD drivers contribute comparable Top-20 and Top-40 build-up averages within the same cars, and no single driver dominates the long-run average rankings across the dataset.
GTD PRO
Build-Up laps
#48 Mercedes did a lot of laps, but #75 Mercedes set the time.
Fastest Laps and Averages
The Top-10, Top-50, and Top-100 average lap times remain closely grouped across the GTD PRO field, with cars maintaining similar relative positions as the averaging window expands, indicating limited separation in long-run pace.
When Fastest laps were set
Sectors
Sector times in S1, S2, and S3 exhibit small deltas between GTD PRO cars, and sector rankings generally mirror overall average lap pace, with no single entry consistently recording the fastest time across all sectors.
Drivers
GTD PRO drivers show tight clustering in Top-20 and Top-40 build-up averages within each entry, with multiple drivers from different teams appearing in similar average-time bands rather than one driver or car dominating the dataset.
LMP2
The overall lap leader being the CrowdStrike Racing #04, which completed more laps than any other car in the test.
#43 completed a high number of laps in ROAR testing, placing it among the most heavily run cars in the LMP2 class and providing a large sample size for averages and sector analysis.
The #43’s Top-10, Top-50, and Top-100 average lap times remain closely grouped, with only a small increase in average time as the sample size expands.
Sector data for the #43 shows no single sector ranking as an extreme outlier, with S1, S2, and S3 times all falling within the main competitive band of the LMP2 field rather than leading or trailing decisively in any one sector.
Practice laps
Fastest Laps and Averages
The LMP2 field shows a tighter spread in Top-10, Top-50, and Top-100 averages than GTP, with the leading cars maintaining similar relative order as the sample size increases, indicating less pace separation across the class in long-run averages.
When Fastest laps were set
Sectors
The LMP2 sector charts show smaller inter-car deltas than GTP across all sectors, with no single entry sweeping all sectors; performance rankings by sector broadly align with overall average pace, indicating sector balance rather than sector dominance drives LMP2 lap times.
Drivers
Ben Hanley tops the chart with the Top 20 average. Charles Milesi grabs the fastest and the longer average.
GTP
Practice laps
Lots of quality running – unless you are Aston Martin.
Fastest Laps and Averages
Penske at the top. Porsche entries record the lowest Top-10, Top-50, and Top-100 average lap times in the dataset, with cars #6 and #7 ranking first and second across all three average windows, while Cadillac, BMW, and Acura show progressively higher averages as the sample size increases.
When Fastest laps were set
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Sectors
Porsche sets the fastest Top-50 times in the infield sector (S2) with cars #6, #7, and #85, BMW records the fastest banking sector (S3) times with cars #24 and #25, and Cadillac places consistently within the top group across all three sectors without leading any single sector.
Drivers
Multiple Porsche drivers (Vanthoor, Nasr, Estre, Andlauer, Heinrich) cluster tightly in Top-20 and Top-40 build-up lap averages, whereas other manufacturers show wider spreads between drivers, and Aston Martin drivers have insufficient laps to produce comparable long-run averages.
Track map
