Cards & Stats
We use cool baseball cards to illuminate the history and illustrate the statistical analysis of Major League Baseball!
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...
Having examined the value of the Pythagorean Expectation Formula (PEF) as a benchmark for assessing manger value, I thought it would be interesting to extend the analysis and see if PEF can be used to...
Not news but the data picture is still–to me, at least–pretty mind blowing!
Compiled this in connection with some additional analyses on the statistical validity of using teams’ Pythagorean...
Hey–I get to present the original Monkeys paper (since split into separate mWAR and Pythagorean Expectation papers) at the upcoming MIT-Sloan Sports Analytics Conference. Cool!
Still a month off...