I'm not saying you have to write a thesis to suggest new data sources, but I am saying that "you need to do XYZ" is not a productive piece of advice without the evidence to back it.
I'm not saying you have to write a thesis to suggest new data sources, but I am saying that "you need to do XYZ" is not a productive piece of advice without the evidence to back it.
Also, if you're doing statistical analyses of your own, hopefully this isn't how you react to domain experts giving you advice on factors you should consider. If you react the way you just did, it's quite likely people will just shut up and you'll be left floundering the darkness.
Now strictly to subject, would be indeed a nice exercise to take a team performance ( under any scoring formula ) and correlate it with the weather at that time. This data ( team data and weather data) exists. If we find any correlation - not sure. Could be that for some teams it doesn't exist - they play good no matter the atmospheric conditions.
The second exercise is the yellow cards, but this is indeed hard to factor since is very dependent of the coach strategy ( we cannot assume that the same player always plays). So, yes, OK, let's leave that out.