mysticbb wrote:Well, those "better and more useful ways" may not always be available.
Like when? If I was stuck in the woods, and had nothing but a list of players & their respective fg%'s?
Also, a couple of numbers and the ability to recognize a pattern might be a quicker way.
I doubt you would be able to develop any kind of decent R^2. And, if you are taking the time to run regression analysis that
might produce a loose relationship, you might as well be spending that time simply looking up the readily available data imo.
Obviously, without having any understanding what those numbers mean (and what kind of oncourt action they are implying), no number will have any meaning (or value). Which somehow makes most of the discussion rather pointless. Evan just pointed out some facts, and by that, he pointed to information we can derive by looking at things like FG%, eFG%, etc. pp.
I do not see any "facts". I've seen a
hypothesis that there
might be a
loose relationship that we could potentially
infer some information about a player. That is not really what I would call a fact. And, even if it were, I do not find that information derived to be all that useful.