Two Pitcher xBABIPS
Thanks to two excellent researchers, we have two different pitcher xBABIPs nestled within the posts on this site.
Matt Swartz has an xBABIP that’s part of SIERA. He was nice enough to re-run it with all pitchers with 40 innings pitched or more for 2003-12. He did not adjust for usage by weighting pitchers with high IP more heavily, but he did regress BABIP using factors that his research has shown to influence the number. His pitcher xBABIP formula is:
BABIP = .290 + .045*GB% – .103*K%.
Steve Staude used batted ball data to find a pitcher xBABIP in the Community Blog a while back. Of course, the weakness of a model using line drive percentage is the fickleness of that stat from stadium to stadium and year to year, but it does make a lot of sense intuitively: give up fewer frozen ropes and you’ll give up fewer hits. His regression led him to the following pitcher xBABIP formula:
xBABIP = 0.4*LD% – 0.6*FB%*IFFB% + 0.235