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What's Different About Joba Chamberlain's Slider?

Chamberlain_vertical_spin_deflection_difference_medium

Throughout Joba Chamberlain's major league career, his signature pitch has been his slider.  When he burst on the scene in 2007, it was virtually untouchable.  In 2008, it was an elite pitch again. 

However, over the past two years, the pitch has appeared (according to my eyes, watching the games on television) to lose something - it just doesn't seem like he's fooling batters like he used to.  I did some PITCHf/x-digging on the slider, and I noticed an evolution in terms of the pitch's plate location, movement, and velocity. While by objective measures it is still a well above-average pitch, it has become increasingly easier to hit over the past three seasons.

Star-divide

First, though, I would like to examine the three years of Chamberlain's slider with a few metrics that tell us different things.  The first and, in my opinion, most important one is whiff rate.  Whiff rate, calculated by dividing swinging strikes by total swings, is good to look at for a pitch like Chamberlain's slider because he uses it in strikeout situations for a swing-and-miss. 

Chase rate is also very telling as it shows the percentage of pitches out of the strikezone that batters swung at, and getting batters to swing out of the zone (and miss) is the goal of Chamberlain's slider.  The third number I'm presenting in the table below is zone rate, which is simply the percentage of pitches that were in the strikezone.  For the slider, it's better for it to be out of the strikezone, but only if it generates swings out of batters.  So, I think it's good to look at all three statistics together. 

Year # Whiff Rate Chase Rate Zone Rate
2008 431 0.515 0.464 0.385
2009 604 0.428 0.402 0.46
2010 298 0.394 0.423 0.453

While the chase rate has only declined a bit, the whiff and zone rates tell us that something's going on.  The whiff rate is still very good, but it is no longer exceptional like it was in 2008.  The pitch has found the zone a lot more over the past two years than it did in 2008, which is not a good sign.  What's causing the declining whiff rate?  The following distribution shows the normalized plate locations of Chamberlain's slider from 2008, 2009, and 2010.  The lines have been (somewhat) smoothed to better accentuate the trends.

Chamberlain_pitch_height_medium 

As you can see, the distribution peaks slightly higher each year, showing that Chamberlain has located his slider slightly higher in the strike zone each year. 

This next distribution shows the vertical spin deflection (break, identified as "pfx_z" in the data files) of Chamberlain's slider from the past three years.  A value of 0 represents a theoretical spinless pitch; the typical, league-average slider has about 2 inches of vertical spin deflection.   

Chamberlain_vertical_spin_deflection_medium 

This distribution also peaks higher each year, which means that Chamberlain has lost "drop" on his slider since 2008.  It's important to note, however, that PITCHf/x camera calibrations different from park to park and from game to game, so it's impossible to put utmost confidence into raw readings - though the samples are probably significant enough over a whole season, which is what we're dealing with here. 

I also looked at the break of the slider on a game level in order to try to get more information about when his slider started breaking less.  Because of the park effects I mentioned, I chose to display the break of the slider in comparison to his average four-seam fastball break for that game (you could run into trouble if the movement of his fastball had changed, but it appears to move similarly to how it did in 2008).  The chart displays available data from all regular season games since April 1st, 2008. 

Chamberlain_vertical_spin_deflection_difference_medium

I identified a point where the slider appeared to begin losing its break, and I have separated the games before and after this into two clusters; it looks like something begins to change on September 4th, 2009 against the Blue Jays.  This was the second game of the "short start" experiment, in which the Yankees kept Chamberlain to a low pitch count in his starts in order to cap his innings.  (If you were wondering, that crazy outlier at the bottom is a May 3rd, 2010 game against the Orioles at Yankee Stadium in which the calibration was really odd.)  The trend continued in 2010, though the slider wasn't consistently as "short" as it was in September of '09.   

How about velocity?  The distribution below would indicate that Chamberlain was throwing his slider at an entirely different speed in 2010 than he was previously:

Chamberlain_velocity_medium 

And by individual games?

Chamberlain_velocity_difference_medium 
The slider gradually gained speed relative to the fastball throughout 2008 and 2009 and leveled on the September 4th game.  Just to get some more confirmation on the break and velocity of the slider, I've plotted pfx_z difference versus velocity difference by game, and the correlation seems significant:

Chamberlain_correlation_medium 

We can only speculate as to what the cause may have been - did he start "overthrowing" in September of '09 because he only had a few innings to pitch?  Then why would he continue overthrowing in the bullpen in 2010 when he wasn't in 2008?  Is it a mechanical glitch?  Is a physical problem causing him to lose command of his slider?  Clearly, I'm filled with more questions than answers on this front.  (You can help me become even more filled with questions in the comments section.)   


I'd like to examine one more thing in this post.  In the first paragraph, I mentioned that Chamberlain's slider is still a quality pitch by objective measures; my favorite way to gauge overall effectiveness of a pitch is by using run values.  In addition to standard linear weights (similar to the values on Fangraphs), I also like to look at defense-independent weights, with league-average batted-ball values substituted for actual events.  As you can see, the slider has been effective by both measures (lower numbers are better for pitchers):

  RV/100 xRV/100
2008 -2.61 -3.68
2009 -1.12 -2
2010 -0.74 -2.82

So, just a few concluding thoughts.  My suspicions (which I first detailed twice after the 2009 season) were correct, on some level.  The slider has both lost break and gained velocity, and the change has been particularly noticeable since September 2009.  There was a higher percentage of hanging sliders in 2009 and 2010 than there was in 2008.  The difference may appear slight, but as the saying goes, baseball is a game of inches.  All in all, while the slider may not be filthy as it was in the old days, it's still pretty great.   
 

The data used in this post are courtesy of Joe Lefkowitz's tool.

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Great work, Lucas.

Love the graphs. Hate the decline of Joba.

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by J-Doug on Nov 30, 2010 1:02 PM EST reply actions  

Yeah, these graphs are very cool.

I’d like a shot at ’em.

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by Justin Bopp on Nov 30, 2010 1:24 PM EST reply actions  

Are you using MLBAM Classifications?

On my classifications from 3 weeks ago, I had Joba’s Whiff rates at 49.6% in 08, 41.66% in 09, and 36.78% in 2010.

I would think that the velocity change on his slider was from being a full time reliever. Of note is that there’s some relationship between pfx_z and velocity (increased velocity, less drop).

You didn’t mention it here, but the Slider’s GB rate also dropped from 08 to 09-2010 (58% in 08, 46.4% in 09, 44.2% in 2010).

Otherwise, great work.

by garik16 on Nov 30, 2010 3:16 PM EST reply actions  

I always reclassify game by game

I’m not entirely sure what is causing the difference. There’s occasionally some curve/slider ambiguity, but for Joba they’re usually pretty distinct. I’m currently including foul tips and missed bunts in whiff rates; maybe that has something to do with it?

by Lucas Apostoleris on Nov 30, 2010 8:02 PM EST up reply actions  

There is really no point in subtracting "movement" from separate pitch types or separate pitches for that matter

The movement is just the degrees and angles of spin deflection. More of a point of reference to how the pitched spun towards home plate.

Fuzz

by RZ on Nov 30, 2010 4:30 PM EST reply actions  

Huh?

pfx_z is the amount in inches in the vertical plane that the pitch moves due to spin deflection. Not degrees and angles.

by garik16 on Nov 30, 2010 4:33 PM EST up reply actions  

If you're questioning the use of the fastball movement as a comparison

That’s meant to deal with stadium calibration issues. If the slider and fastball both drop 2 inches of movement, it is very likely that it’s a stadium issue. If only one does, you can generally rule out calibration problems as the cause (though a calibration problem could cause the slider movement to seem to be different, while an actual change in the fastball could keep that constant…)

Regardless, I’m not sure what you’re saying about degrees and angles.

by garik16 on Nov 30, 2010 5:11 PM EST up reply actions  

I think Josh covered what I would have said

I chose to display pfx_z difference as a raw way to park-adjust. It’s imperfect and brings in the variable of fastball movement, but I think it’s better to show rather than just showing the slider pfx_z values that vary by game.

by Lucas Apostoleris on Nov 30, 2010 8:08 PM EST up reply actions  

Pfx_x and pfx_z

just roughly measure the magnus force of the baseball. The degrees and angles is how the baseball spins in relation to the front of homeplate (a 0 pfx_x/0pfx_z pitch would essentially be a gryoball or a baseball thrown with gryo spin). It doesn’t necessarily tell how the pitch moved, just how it is spun.

Camera calibration issues make it hard to compare spin game to game.

Fuzz

by RZ on Dec 1, 2010 1:53 PM EST up reply actions  

This is incorrect.

pfx_x and pfx_z measure (based upon camera shots) the actual movement of the pitch. Obviously, the magnus force is what results for most of this movement (knuckleballers aside), but that’s not what is measured.

The spin direction and rate are not picked up by pitchf/x cameras….the data points in the data are done based upon a calculation using the movement of each pitch.

(And what he did here is a very valid way of trying to deal with camera calibration issues…as they affect all pitches, not just the one in question).

by garik16 on Dec 1, 2010 4:39 PM EST up reply actions  

It does not measure spin angles directly

but the spin angles (how the ball spins) can be estimated from the data.

Fuzz

by RZ on Dec 2, 2010 5:09 PM EST up reply actions  

Yes we know

but pfx_z ISN’T measuring spin direction/angle. And that’s what he’s using. It’s not meaningless to subtract pfx_z’s as a way of accounting for calibration error.

That’s why I don’t understand what you’re saying.

by garik16 on Dec 2, 2010 7:13 PM EST up reply actions  

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