Letting and Not Letting Them Pull

Sam Miller wrote recently about how almost everything he writes serves to lead to a fun fact (or a “factoid”). Sam is one of my favorite writers, and one of my biggest ongoing influences, so it shouldn’t come as a surprise that I’m much the same way. Most of the time, I write about fun facts, and the words just dress the facts up. Sometimes they make the facts look nicer, and sometimes they just get in the way. Right now, they’re getting in the way. I just have some facts for you, and then I’ll shut up.

Not all balls in play are created equal. Of course, there are bunts, grounders, liners, and flies, and fliners too if you want to be obnoxious about it. But if you want to bucket balls in play differently, there are pulled balls, balls up the middle, and balls to the opposite field. These categorizations get less attention, but they can be pretty significant. How a guy’s balls in play are distributed can tell you something about how he’d fit in a certain park. And pulled balls tend to do a lot more damage than not-pulled balls. Intuitively, we know this to be true; looking at the numbers, we also know this to be true.

Think about it in terms of bat speed, since that’s what matters here. A pulled ball in play will be struck later in the swing than a not-pulled ball in play, and later in the swing, the bat has more speed. So the ball will come off the bat faster, and while ball-in-play success isn’t all about batted-ball speed, it’s kind of a big deal. Harder-hit balls will go for more singles and doubles and triples and dingers. Most hitters should want to pull the baseball. Most pitchers should want to not let the hitters do that.

I just want to provide some tables with Pull% information for pitchers. Here at FanGraphs, ball-in-play distribution data is available for hitters. But it isn’t available for pitchers, at least not anywhere that I’ve looked. And it isn’t random — pitchers have some control over where the baseball goes in the field. So I turned to Baseball-Reference for most of my data mining. Note that B-R splits the field differently than FanGraphs does; while FanGraphs divides the field in even thirds, B-R does something else, such that here, 39% of balls in play are pulled, and there, 27% of balls in play are pulled. I don’t know why that is the way it is, but we’ll work with it.

I have for you four tables. The first two deal with active pitchers with at least 400 career innings pitched. Below, the top 10 in highest pull rate:

Player Pull%
Freddy Garcia 33.7%
J.P. Howell 33.4%
Carlos Villanueva 32.9%
Luis Vizcaino 32.0%
Jeremy Hellickson 31.5%
Jaime Garcia 31.2%
Sean Marshall 31.2%
Trevor Cahill 31.1%
Jon Lester 31.0%
Kameron Loe 31.0%

Remember, our league average is about 27%. All of the names here are interesting, but perhaps most interesting is Jeremy Hellickson, who everybody knows to be a defier of DIPS theory. You’d think that maybe Hellickson gets by because he forces the hitters to go to the opposite field, or something. Turns out he lets them pull the ball a lot, and still he doesn’t get burned. Hellickson doesn’t do anything to prevent pulled balls in play, but he still does something to prevent hits. Hellickson’s a weird one.

Now for the top 10 in lowest pull rate:

Player Pull%
Heath Bell 18.4%
Jonathan Broxton 18.6%
Grant Balfour 20.4%
J.J. Putz 20.4%
Brian Duensing 21.5%
Gio Gonzalez 22.0%
Jason Frasor 22.3%
Matt Belisle 22.3%
Mike Pelfrey 22.4%
Homer Bailey 22.4%

Reliever, reliever, reliever, reliever, part-time reliever. Gio Gonzalez is our first full-time starter to show up on the list, and for his career he’s posted better-than-average BABIPs and home-run rates. Other starters include Mike Pelfrey and Homer Bailey. You might wonder: do relievers allow a lower pull rate than starters do? Indeed, relievers come out around 25%, while starters come out around 27%. Some of this might have to do with relievers throwing with greater velocity, on average. Some of this might have to do with relievers more often having the platoon advantage. This, presumably, is one small reason why relievers post better numbers than starters do.

Now for our final two tables, looking at just 2012. Setting a minimum of 150 balls in play, here are the top 10 in highest pull rate:

Player Pull%
Freddy Garcia 38.6%
Steve Delabar 37.1%
Mike Adams 36.2%
Cristhian Martinez 35.8%
Eric O’Flaherty 35.6%
Dylan Axelrod 35.5%
Trevor Cahill 34.8%
Ted Lilly 34.7%
Roy Halladay 34.5%
Daisuke Matsuzaka 34.4%

There’s Garcia, on top again. Perhaps not coincidentally, Garcia was recently dropped by the Padres. Then we see Steve Delabar, who had 92 strikeouts and a dozen home runs allowed in 66 innings. Mike Adams struggled with hits for the first time in forever. Don’t let the hitters pull the baseball. And here’s the top 10 in lowest pull rate:

Player Pull%
John Axford 13.6%
Dale Thayer 15.4%
Juan Nicasio 15.6%
Bobby Parnell 17.5%
David Phelps 17.9%
Brad Brach 18.2%
Greg Holland 18.3%
Manny Parra 18.4%
Wade Davis 18.5%
Brandon Beachy 19.0%

Interesting to see John Axford, given his struggles and the struggles of the Milwaukee bullpen as a whole. Only one of the ten homers Axford allowed was pulled. He got hurt to all fields. Anyhow, here are relievers, mostly. I haven’t yet decided what to make of this list. I might never.

The ultimate point: it matters where the ball goes. This information doesn’t get the attention it probably deserves, although you have to imagine teams are looking at it in order to figure out how to shift. You’re not doomed if you give up a lot of pulled baseballs, and you’re not doing great if you don’t. But it’s one factor. There are so many factors.





Jeff made Lookout Landing a thing, but he does not still write there about the Mariners. He does write here, sometimes about the Mariners, but usually not.

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Voxx
11 years ago

I generally love your stuff, Jeff, but this was a little… underwhelming.

Based on these charts, pull % doesn’t matter that much – you have people that struggle at both ends of the spectrum. Breaking it down into GB%, LD%, FB% for pull and opposite might shed more light on things.

Or it might not. I dunno. But this article felt like you tried to stick to the initial assertation when the data didn’t really back it up neatly.

It’s still interesting, it just lacks cohesiveness, I guess is the word.

Nivra
11 years ago
Reply to  Jeff Sullivan

Can you tease out BABIP or rate stats on pulled balls?

As well, perhaps a correlation of pulled ball rate vs. BABIP might be illuminating.

Also, pull% is only 1 out of 2 critical components. Opp. Field ball rate should be important as well. Two pitchers with the same pull rate might have different results if one allows a lot of balls to the middle of the field vs. the opposite field.

Nivra
11 years ago
Reply to  Jeff Sullivan

Also, just taking a few of the pitchers on your list and looking at their Pitch f/x breakdown would be illuminating.

Or would at least corroborate what we would expect.