from Amazon
Friday, July 30, 2010
BABIP by count, applied to pitchers’ frequencies
Derek took the league average BABIP by count, and applied it to how often a pitcher reached those counts when a ball was put in play. Makes perfect sense. The overall results are here. With extreme data points for one season at +/- 6 points, it’s almost not worth worrying about.
Sean at B-R.com also has that count data for every year here.
For those interested, I sort the ball-strike count data like this:
wOBA Ball Strike
0.569 3 0
0.496 3 1
0.450 2 0
0.407 3 2
0.381 2 1
0.381 1 0
0.342 0 0
0.323 1 1
0.296 2 2
0.291 0 1
0.248 1 2
0.220 0 2
Basically, you put it in order of balls minus strikes.
By the way, you get an r=.97 between ball and strike count against wOBA. No surprise. The general equation is this:
wOBA = leagueAverage + .07 * (balls - strikes)
That gets you most of the way there.
Recent comments
Older comments
Page 1 of 344 pages 1 2 3 > Last »Complete Archive – By Category
Complete Archive – By Date