Numpty >>
martes julio 18 - 14:22, Editado
martes julio 18 - 14:23 I've mainly been collecting data into a spreadsheet.
I've done a little bit of analysis on a few of the variables but no definite results yet, just enough to give me a good idea how some of them work.
There are 4 different algorithms, one for each playing position. I use the term algorithm rather than formula because at least some of the variables contribute differently depending on it's value. Essentially this makes each algorithm a set of non-contiguous formulae.
Each algorithm appears to use 8 different variables - 9 if you include the age factor - and most if not all of them are non-linear. I believe the variables are:
- Power, Speed
- 5 Trainables attributes (Base values)
- Position xp relevant to the position
- [Age factor needed to convert base values into effective values]
So that makes 4 sets of formulae each with 8 non-linear variables.
The star value data being collected is rounded. So reverse engineering the formulae from rounded data adds an extra level of difficulty. In addition it may be the case that the source variable data is itself rounded before being fed into each formula.
Solving that kind of problem - or rather a set of related problems - is going to be very tough indeed. Given the complexity it's going to be very challenging to get any truly accurate results, although I may be able to get a good approximation at some point.
What I need is more data and someone with a PhD in mathematical modelling.
Any help appreciated.