I'm the first to say those statistics are not a complete picture; it's a tool that can add more info. How you interpret and combine that info with context is up to you.Quote:
Originally Posted by Munkvy
For example: Latvala vs Meeke comparison of just pace is misleading but combining the difference with the knowledge Meeke was cruising can indicate that Meeke would have probably been faster.
So I'm not trying to make a system that can take into account many things and give some answers; It would be too complicated with weather, tyre choice, road order, how much a driver is attacking etc. but I did find it helpful in two ways:
1. Knowing some elements of context you can get some numbers that you can compare and get a better idea. For example in case of a different tyre choice you can compare two driver when they had same choice and different choice and see how much the choice was worth.
2. When the data is layed out in a table and you make a color coded scale you can sometimes spot "anomalies" that can lead you to investigate what happened there. For example you could notice a driver having different performance between days so you can then investigate, was it tyre choice, setup, road order...
Anyway don't want to make huge thing out of this, just a mini project I did for fun. :)
