Cards & Stats
We use cool baseball cards to illuminate the history and illustrate the statistical analysis of Major League Baseball!
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...
Here’s a strange one: does team slugging percentage predict deviation from a team’s Pythagorean Expectation Formula (PEF() winning percentage?
There’s absolutely zero reason to believe it would in theory.
PEF,...
This is more or less what I said:
My focus is manager value, one of the last aspects of major league baseball unaffected by the sports analytics revolution. The goal of the paper is to fashion a manager-value...