I don't know if this is the right place to ask this so it can be moved if appropriate, but this is where I thought I was most likely to get an answer. Autosport currently reveal at the end of the F1 season, a set of 'super-times', where they take each driver and car's fastest lap of a weekend as a percentage of the fastest of all, and then average them all out to get a total score for each driver and car for the season. Essentially, it calculates the average qualifying pace of every driver and car. For 2022, for example, the results were:
Max Verstappen 100.161
Charles Leclerc 100.168
Carlos Sainz 100.334
Sergio Perez 100.706
George Russell 100.95
Lewis Hamilton 101.108
Lando Norris 101.336
Fernando Alonso 101.4
Esteban Ocon 101.699
Valtteri Bottas 101.875
Pierre Gasly 101.972
Daniel Ricciardo 102.012
Kevin Magnussen 102.185
Sebastian Vettel 102.189
Yuki Tsunoda 102.227
Mick Schumacher 102.315
Zhou Guanyu 102.319
Lance Stroll 102.438
Alexander Albon 102.537
Nicholas Latifi 103.387
The race, meanwhile, revealed the results of the cars to be:
Ferrari 100.070
Red Bull 100.194
Mercedes 100.893
Alpine 101.331
McLaren 101.335
Alfa Romeo 101.601
Alpha Tauri 101.773
Haas 101.800
Aston Martin 102.127
Williams 102.716
I suppose it is possible that they just put it into a spreadsheet at the end of each weekend, but Autosport also clearly have these statistics for the past as well. In the article about comparing different eras a few years ago, it was mentioned that Ferrari had a 0.218% advantage over BAR in 2004, and Cooper had 0.042% over Lotus in 1960. As well as the average gap from 1st to 2nd and 1st to 5th in every era. I cannot believe that someone from Autosport has manually plugged into a computer every single fastest lap of the weekend for every driver and team in history and calculated all these supertimes. There must be a quicker way to do it, or they must be available somewhere. I would like to find them. Does anyone have any suggestions?
Edited by F1Frog, 07 October 2023 - 17:20.