Thursday, February 18, 2010
Do ground ball pitchers allow more HR per fly ball?
You’ve heard lots of commentators say that when a ground ball pitcher pitches “up in the zone” he gets hammered, and it seems to make sense.
Matthew Caruth looked at something similar in this Fangraphs post.
As Rob Neyer likes to say, here is the “money quote” from the article:
The best rule of thumb I can state from this look is that a pitcher’s ground ball rate has no impact on his various rates of yielding home runs and what impact there is might actually be negative.
Matthew did not look at pitch location, contact rates, BABIP, or anything other than HR rates per fly ball, per line drive, and per line drives and fly balls combined (it is not clear if he ignored pop flies or not when he combined the two - those are the 3 categories, by the way, that MLB Gameday uses for air balls, I think). And of course there is a fine line between some hard hit ground balls and low line drives.
Nice job!


This was discussed in a Lookout Landing thread couple of weeks ago. I get different results than Matthew. Using the same data source, Gameday 2007-2009, with all pitchers with at least 500 BIP, I get the following:
Ground ball percentage was defined as ground balls divided balls in play. Count adjusted Linear Weights are using John Walsh’s method.
So for every 10% increase in ground ball rate, you’d expect .027 increase in the Linear Weights per ball in air.
In 200 innings, the average pitcher will allow around 590 balls in play. The league average pitcher allows around 45% ground balls, so that means he’d allow around 310 line drives + fly balls (if you eliminate pop ups). Going by the formula above, you’d expect him to give up .18 runs per line drive + fly ball (and that matches up perfectly with my league linear weights). So that’s 56 runs. If you give that same pitcher a 55% ground ball rate, you’d expect 64 runs on balls in the air. So that’s a difference of 8 runs.
However, that 55% ground ball pitcher wouldn’t allow 310 balls in the air, he’d allow more like 265. In that case, the difference in absolute runs is exactly 0, however, the difference in runs per ball in air is pretty big (and significant with a relatively high R-Squared).
BTW, if you have the threshold at >= 1000 BIP for the original sample, you get a slope of .24 and an R-Squared of .27. The only way I get numbers as weak as Matthews is if I include all pitchers with no minimum BIP threshold. Doing that, I get a slope of .1 and an R-Squared of .02.