Using Ball in Play Data to Identify a Sleeper
I spend an inordinate amount of time playing with splits. It’s hard to come up with two new topics to write about each week, so I export a lot of data to Excel and click and sort around until I find something interesting. During the relatively boring late slate of football games yesterday afternoon, I was looking at ball in play data.
It occurred to me that there should be a pretty strong correlation between ERA on balls in play and OPS allowed on balls in play (there is). It then occurred to me that guys who have a relative ERA that’s much lower than their relative OPS might be getting a little lucky. When I say relative, I just calculated each pitcher’s z-score for both statistics, which were adjusted for number of batters faced since they are rate stats. Here are those potentially lucky pitchers. Read the rest of this entry »