from Amazon
Friday, December 04, 2009
Game Score using FIP
No, I’m not talking about this recent BtB article, which does some good work.
I am instead talking about this article that came out a few months after the unveiling of FIP 5 years ago, back when DIPS was all the rage, and he shows you all his work:
What would a DIPS-based game score look like? Also, why not make the revised game score equivalent to a support neutral win probability? ... GSDIPS = 50 + IP + 2*K – 3*BB – 13*HR
And there you have it – a DIPS-based pitcher game score equivalent to support neutral win probability that is easier to calculate and with fewer terms than James’ original Game Score!
Notes: Did James originally intend the Game Score to approximate win probability? The (2*K – 3*BB – 13*HR) term is the same thing as FIPS that was independently and originally noted by TangoTiger as a DIPS-based pitcher measure
Kevin’s got alot of other great stuff on his site. I get the feeling that alot of the new guys coming into sabermetrics aren’t aware of the really cool stuff that’s already been done out there.