Library Update: BABIP

One of the most commonly cited sabermetric statistics for hitters and pitchers is Batting Average on Balls in Play (BABIP) and our Library entry on BABIP is newly renovated. Not only does the entry now contain the BABIP equation, which was previously absent (oops!), but it walks you through a more nuanced explanation of why we care about BABIP and how to use it responsibly.

We have a BABIP entry in the Offense and Pitching sections of the Library but the entries are the same, so clicking to either will do.

Click over to the Library for a full breakdown, but feel free to post questions about BABIP here. We also have a post going up in the Library blog today that illustrates the importance of BABIP and the concept of luck, so feel free to post questions there as well. You can also reach out to me on Twitter @NeilWeinberg44 or stop by our weekly Q&A chat Wednesdays at 3pm eastern to ask questions about advanced stats or the site’s features.





Neil Weinberg is the Site Educator at FanGraphs and can be found writing enthusiastically about the Detroit Tigers at New English D. Follow and interact with him on Twitter @NeilWeinberg44.

10 Comments
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Matt
12 years ago

I never knew bunts weren’t counting in BABIP calculations. Is there a specific reason for that? It does seem odd that bunts would not be counted, but bunt hits (and bunt popouts) would be.

Ben
12 years ago

That write up is fantastic. It boiled down what I’ve read in a hundred different threads and articles into one place.

Andy
12 years ago

I’ve always wondered about fouling out. I take it that it counts as BIP, though it’s not “fully” in play, in the sense that if the fielder misses or drops the ball, it does not mean the batter gets a hit. I assume it’s one of those between-the-cracks events that has to be classified one way or the other, and it seems better to consider it a BIP than a K.

The other gray area I’ve wondered about is balls that are hit high off the wall, e.g., the Green Monster. If the ball is well over the outfielder’s head, it’s not in play in basically the same way that a HR isn’t. So in that sense, it seems to me that it shouldn’t count as BIP. OTOH, once it bounces back to the field it is in play, and how many bases the batter gets is partly a matter of luck, literally, the way the ball bounces.

Also, what about reached on error? My understanding is that FG values that basically about the same as a hit, so shouldn’t the numerator be H – HR + ROE? Or is ROE considered a BIP that did not “fall” for a hit?

From your remarks about the maximum BABIP, I take it you don’t believe that Trout’s BABIP, which was just about .380 for his first two full years, is not sustainable? It is a little lower this year.

By the way, in the first paragraph of the BABIP entry, I think you mean “catcher interference”, not “catcher inference”, though that is certainly an interesting typo, subject to some relevant interpretations!

CQGames
10 years ago

Great site though there doesn’t seem to be a user forum to ask questions so I’m posting here: I noticed that (GB + FB + LD) is <= (AB + SF + K). The greatest discrepancy is with players that bunt a lot such Elvis Andrus or Michael Bourn. Are the missing batted balls failed bunts – either for sacrifice or for a hit? I'm using your data for building statistical models and the missing data points are troublesome. Thanks!

CQGames
10 years ago
Reply to  Neil Weinberg

Yes that was a typo. I meant to subtract Ks. I’m compiling multi-season data from 2010-present. Ex. Bourn has 1282 GB, 588 FB, 545 LD or 2415 batted balls. His AB (3270) + SF (18) – K (774) or 2514 batted balls. There is a discrepancy of 99 missing batted balls. He has 30 SH, so that can’t account for the difference. I’m thinking the missing number is the bunts that weren’t sacrifices. Basically BU-SH Is that possible? In which case a BU is not a GB?

CQGames
10 years ago
Reply to  CQGames

OK solved. The missing batted balls are bunts that were not sacrifices – either resulted in a hit or force out. I’m trying to create “true” balls in play batting averages which would mean eliminating all bunts from the equation (they should be tracked with their own BABIP since they are a special case). I don’t suppose the site tracks failed sacrifice bunts? I would imagine these drive down the ground ball BABIP very little for power hitters who never bunt and a lot for hitters with lots of SH – and presumably a fair number for failed sacrifices that got categorized as ground ball outs…