Cards & Stats
We use cool baseball cards to illuminate the history and illustrate the statistical analysis of Major League Baseball!
Okay: for a long time I was too scared to address this issue again. But part of the reason for my ongoing work with eFIP was to arm myself for another encounter with this demon. . . .
I’m talking about...
So here is a fun follow-up to the last post.
That one introduced “eFIP,” a pitcher estimator that uses empirically derived weights for fielding-independent outcomes—strikeouts, walks, home runs allowed,...
I’m circling back to formulating a pitcher estimator. I explored that back when I examined ball-in-play propensities. but I feel I didn’t get a very good handle on then. So forget how BIP enters into the...
I’m returning to pitcher estimators, and in reviewing FanGraphs’ WAR calculation discovered a truly cringeworthy glitch.
FanGraphs uses a variant of FIP—fielding independent pitching—to determine the pitching...
Great news: mWAR paper has been accepted by Journal of Sport Analytics!
Will make second site paper (other being Fielding After Baseball’s Great Transformation) to be published.
There have been others...
Been a while—but here’s a new paper!
Synthesizes and extends some of the material from the last few posts on using Pythagorean Expectation formula as benchmark for identifying elements of team composition...