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Probabilistic Pitch Framing (part 2)

This is part two of a three-part series detailing a method of judging pitch framing based on the prior probability of the pitch being called a strike.  In part 1, we motivated the method.  Here in part 2, we will formalize it.

The formula we’ll use for judging catcher framing is pretty simple on its face. For each pitch delivered, we calculate a value

IsCalledStrike + prob(CalledStrike)

Here, IsCalledStrike is simply 1 if the pitch is called a strike, and 0 otherwise.  The second term is the probability that the pitch would have been called a strike, absent any information about the catcher’s involvement. We add up these values for every called ball or strike that a catcher receives, and report the resulting number.  Since this method is essentially identical to defensive plus/minus, I’ve taken to calling it Catcher Plus/Minus (CPM), although someone reading this can probably come up with something better.  I should mention the following: it has been brought to my attention that this method has been developed before.  However, I can’t find it written up anywhere on the web.  So you are welcome to consider this the documentation of an existing method, if you’d like.

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Probabilistic Pitch Framing (part 1)

Let’s take a look at some recent pitches and assess the framing job by the catchers.

Exhibit A: pitch #4 in this sequence from Freddy Garcia to Lucas Duda, as framed by Gerald Laird.


Hey, great framing job, Gerald Laird! That pitch was clearly a rulebook ball and you got a strike called for your pitcher. 1 point for you.

Exhibit B: pitch #3 in this sequence from Jeff Samardzija to Joey Votto, as framed by Dioner Navarro.


Boo, terrible framing job, Dioner Navarro! You just cost your pitcher what was clearly a rulebook strike! -1 points for you.

To the best of my knowledge, this is how most pitch-framing calculations currently work.  We check to see if the pitch was in the zone, and give the catcher a positive or negative credit for pitches that were called differently from how they “should” have been called.  But is that really answering the right question?

Consider the two (extreme, cherry-picked) examples above.  In example A, a pitch was called a strike that was just off the outside corner of the plate to a left-handed hitter on a 3-0 count.  It is almost certainly the case that no one in the ballpark was surprised at the result of that pitch.  After all, we know that the strike zone as it is called to left-handed hitters extends a bit off the corner, and that on 3-0 counts the umpire tends to extend the strike zone a bit anyway.  So should Gerald Laird get full credit for getting that pitch called a strike?

Exhibit B is the exact opposite case in many ways.  We had an 0-2 count on a left-handed hitter, and the pitch was near the top of the strike zone.  Given that the strike zone as it is called shrinks somewhat in an 0-2 count, and that it is shifted away to a left-handed hitter, the catcher was unlikely to get that call.  So should Dioner Navarro get a full demerit for that pitch being called a ball?

Let’s do some crude calculations.  The pitch to Duda was 0.974 feet from the center of the plate, and 2.01 feet off the ground.  Since the start of the 2012 season, there have been (according to the best data I can find) 203 pitches to left-handed hitters in a 3-0 count that fell between 0.9 and 1.2 feet from the center of home plate (in the right-handed batter’s box) and ended up between 1.6 and 2.4 feet off the ground.  Over 77% of those pitches (157/203) were called strikes.  Laird shouldn’t get much credit at all for that frame job, right?

Similarly, let’s explore exhibit B.  The pitch to Votto was 0.671 feet from the center of the plate and 3.341 feet off the ground.  I can find 89 pitches that fell between 0.47 and 0.83 feet from the center of the plate (inside to a lefty, of course) and ended up between 3 feet and the top of the strike zone to left-handed hitters in an 0-2 count.  Of these, 50 (56%) were called balls.  So should we really be penalizing Dioner Navarro all that much for that frame job?

As I hinted above, we have been answering the wrong question.  We shouldn’t be comparing what a catcher did to the rulebook strike zone.  We should be comparing what a catcher did to the probability that the call would have gone the way it did anyway.  It doesn’t matter what the actual strike zone is; all that matters is how the umpires are calling it.  This turns the calculation from a binary one (like the calculation of fielding percentage) to a probabilistic one (like the calculation of plus/minus).  Under this system, Laird would have received a credit of 0.23 for his frame, and Navarro a demerit of 0.44 for his framing.

In part 2 of this series, we will actually go about constructing the formal system to do this so we don’t have to do crude approximations like the ones above (spoiler: it will look a lot like the excellent work Matthew did here).  There will be math, yes, but there will also be lots of pretty pictures and maybe even an animated gif!  In part 3, we will actually apply this system to see which catchers have done the best frame jobs since the start of 2012 (assuming I can associate catcher data to my pitch f/x data by then).

Huge thanks to MLB for making the pitch f/x data freely available (seriously, how awesome is that?), Mike Fast for teaching me how to make a pitch f/x database, and Brooks Baseball for making the images in this post.  Also, thanks to you for reading this post and adding helpful, insightful comments below.


On Slow Fastballs

While thinking about Jeff’s post on the fastballs of over 100 miles per hour, I thought it might be informative to look at the pitchers who have pitched their fastballs the slowest this year.  No, it’s not as flashy as those who live at the top of what’s humanly possible, but it makes for an interesting contrast.  What’s more, you’ll often hear broadcasters say something along the lines of “you don’t need to throw 100 if you can locate your fastball.”  Is that true for pitchers who aren’t anywhere near 100?

There have been 683 fastballs this season (as of September 13th) that registered below 80 MPH according to pitch f/x (grouping together fastballs, 4-seamers, 2-seamers, and cut fastballs).  Two men alone account for 526 of them, with a third adding another 80.  Any guesses on who they are? (Hint: Jamie Moyer is retired.)

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