hollus wrote: ↑09 Nov 2021, 23:44
OK, gentlemen.
Someone comes here and drops a mountain of data (by now two people have dropped lots of data, promising to fill the gaps shortly).
The data are as good and as bad as they are, as representative or not as they are. And it is being presented in exactly that way.
It is data. It is good data. Data in a technical site. So please, interpret the data, add to it, question it, comment on it.
But don't poop on it.
Data, in a technical site, is a good thing. Thank you to the data providers.
But what's there to intepret from a subtraction?
I am not really attacking Gillian. I was asking what was he/she investigating in the first place. I am questioning the usefulness of the type of data that was collected.
It's obvious the 2014 benz was dominant and that like 2009 with Button.. it's likely that half the field could be champion in it. That's my conclusion even before subtracting 0.5s.
Then what happens if Hamilton is in a redbull and the gap to mercedes was smaller? to many hypotheticals.
I think the thread is best served by a deeper analysis.
And quite possibly results are a better representation than Q3 times. Using Q3 would suggest the driver was hired for raw speed and thats the main value he brings to the team. Also the gap to the rival's car is constant.
So a driver like Bottas would actually look good compared to Massa if you use Q3 gaps. Would Williams in 2014 be worse without Bottas and another average driver just because their nearest rival was 0.1s off in Q3? too subjective.
What would be better assessed is how much gurantee Hamilton or any driver brings to the table. If a car is a front row car, any one can win in it. But how sure is the team that any driver can execute all the time regardless of conditions?
I think that is what Hamilton or any Top driver is hired to do when they get a top car.
Newey even once said in the v8 days all he wants in his car is a 50kg driver. That's when you know the car was damn good. But whats important i think is guarantee to get results most of the time.
So a good measure i think is to look on is % of points scored to maximum points for the overall rank of the car.
You find the rank of the car by averaging the average lap time for both drivers over a race for all races while ignoring safety car laps. Or to be pedantic we can look on average stints on one tyre for 20 laps or whatever.
So if 2019 redbull has the second fastest average lap time over a seaon then we could say its rank 2nd. Maximum points would be 15 points x 17 races finished for 2nd best car in 3rd = 255 points for driver expected.
Then we look on how many points say Max scored over the seaosn in 2020 If he got 214 points.
You could say okay well expectation of Max is 84% effectiveness. His effectiveness could be higher if he had mechanical dnfs that year; not crashes.
For Hamilton if he got 347 points. and car ranks #1 based on average pace over a season. 25 x 16 races finished = 400 points Max.
Driver Effectiveness = 87%
Of course the higher the rank of the car the nore perfect you need to be and the more DNF affects your results. But that's part of the game.
So i think this may not say where Mercedes would be.. but it shows how much the driver is extracting from the package and why he would deserve to be in that fastest car over another driver who would be less effective.