LMU Car Choice Guide
How to pick a car
for your next LMU race
The fastest car is not always the right car. Use BoP Tourism to narrow the field with data, then make the final call by driving the shortlist in race-like conditions.
Example Track
GT3 at Monza
The live examples below use stored site data for one common class-track pairing so the method stays concrete.
Step 01
Start with car potential
The BoP tables aggregate setup-shop benchmark laps from very fast drivers. Treat them as a ceiling check, not as a prediction of your race pace.
Your first job is to remove obviously weak options and keep the cars that are close enough to the front. If several cars sit within a few tenths, do not over-rank them yet. They all deserve a look in the next steps.
Live BoP sample
GT3 / MonzaLamborghini Huracán GT3 EVO2
GO / V1.3.2
01:48.139
leader
Corvette Z06 GT3.R
HY / V1.3.2
01:48.207
+0.068
Ford Mustang GT3
HY / V1.3.2
01:48.271
+0.132
Porsche 911 GT3 R (992)
GO / V1.3.3
01:48.463
+0.324
Lexus RCF GT3
HY / V1.3.1
01:48.553
+0.414
Race stats sample
pick / podium / winRace stats sample data will appear here after race-result rows exist for this class and track.
Step 02
Check what works in real races
Race Stats adds context that hotlaps cannot provide. Pick rate tells you what the field trusts. Podiums and wins show which cars are converting entries into results.
Do not read win totals alone. A car with many entries should have more wins. The useful question is whether a car performs well relative to how often it is chosen.
Step 03
Set a realistic target
Race Pace is the bridge between alien hotlaps and your practice session. It uses official race-result pace to create target tiers, so you can judge your current lap against something more practical.
If you are far from the top benchmark, the next target tier matters more than the absolute fastest lap. If you are already near the strongest tier, the BoP and setup-shop gaps become more important.
Race pace target
open setupReference
01:48.910
Best sample
01:48.578
Step 04
Drive the shortlist before committing
The data should narrow your options, not make the final decision. Take the strongest candidates into comparable sessions and pay attention to the parts that never show up in a pure ranking table.
Judge consistency, tyre life, braking confidence, traffic behavior, and how costly small mistakes become. A car that is two tenths slower on paper can be faster over a race if you can repeat the lap without fighting it.
Consistency
Can you repeat the lap for a stint?
Tyres
Does the car stay alive late in the run?
Traffic
Can you place it cleanly around others?
Mistakes
Are small errors recoverable?
Run the workflow