Highlighting the Top 10 laps and 60% fastest of each car.

The first race where we have to wonder about what happens when a car has it’s laps disrupted. i.e. poor conditions, safety car, and retirement. Although Cadillac was impacted a little by that in Qatar.

We don’t know the exact details of how the rule makers compensate for this. For instance we do know that they ignore some laps for the top speed data analysis. Is there a compensation for other race dynamics. We also don’t know how they factor in fuel usage into the calculation.

Hypercar

First the usual table. It is ranked by Top 100.

Ferrari clearly had the fastest. It looked faster than this gap at times too. Although not enough for it to overcome small errors and the general development of the race.

Then BMW and Toyota, but Alpine nabbed the last podium.

Now let’s look at “peak performance”. the Top 10 spreads by manufacturer:

Now the Race Pace, roughly 60% of the distance (not 60% of the distance covered by that car.

This is a rough and ready look at the data that goes into BoP. I don’t know if it by car type, or each car. I chose car as the program was set up for this.

Speed Trap Data

This must be difficult to get to the bottom of laps that were helped by slip streaming!

Off topic: Very impressive from Buemi to keep Fuoco behind.

LMGT3

That WRT BMW was super quick and could haul in the Manthey Porsche at the end. Not quick as quick as it needed, but it was mighty fast.

The Lexus carried it’s top speed pace from practice into the race. Ford not quite so much, but still strong.

---

A more detailed look at relative speeds and how it might fit into the BoP calculation is here: Understanding the New Balance of Performance Approach.

---

What was the spread of the classes:

Compared to most years – very close. Compared to the last couple – nothing special.