Using Statcast and xStats To Value Pitches

The past few days I’ve been working on a tool that, I hope, will be capable of comparing the strengths of a pitcher to the strengths of a batter to build up pitcher vs batter match ups using the Statcast data and my xStats. This is a pretty big project for me, and it might take me a while to get it up and running. However, I have completed one small part of it: pitch values for each pitcher.

I’ve calculated various stats for each pitch type, for each pitcher in MLB. These include basic things like Swinging Strike, Called Strike, and Ball rates; the number of balls put in play; and average pitch speed. I also have average perceived velocity; average exit velocity; average launch angles; and xOBA, xBABIP, and xBACON. I’ve done this for each pitch type, as assigned by MLBAM. The MLBAM pitch designations are not perfect, and there is some pretty wide disparities between its classifications those given by other sources, such as Brooks Baseball, but these definitions are convenient so I will be using them for the moment.

For the xOBA, xBABIP, and xBACON stats, I am using the balls in play as the denominator, as opposed to the total pitches thrown. This is something I’m on the fence about, since calculating it by pitches thrown might give a better sense of how strong the pitch is relative to its use.  You can convert the xOBA, xBABIP, and xBACON to have pitches thrown in the denominator by multiplying by BIP/Pitches thrown.  So, for example, if a pitcher has .290 xBABIP for four seamers with 100 BIP and 400 pitches thrown, you can multiply by 100/400, ie 1/4, to get his xBABIP per pitch.  In this case .25 x .290 = .073.  Which would be a solidly above average fastball.

There is obviously a great discrepancy between the batted ball values of each pitch, with fastballs creating the highest value. Personally, I find it interesting that four seamers have a much lower expected BABIP than two seamers and sinkers. Two seamers and sinkers sit roughly around the .250 xBABIP, while four seamers are .225. Four seamers also has a much lower xBACON, which means fewer expected home runs, sitting at .254 while two seamers and sinkers are both around the .280 mark. Knuckle curves, sliders, and curve balls are each at the bottom in terms of xOBA, xBABIP, and xBACON, sitting around .260, .200, and .220 respectively.

This sort of background information is nice, but I’m here to rank the relative values for each pitch thrown by each pitcher, which I can later compare against the ability of batters in hopes of estimating how well they match up against each other. So, lets see if the pitch ranks work out for a few pitch categories, here are the top 10 pitchers for Four Seamers (minimum 400 pitches thrown):

Top 10 Four Seamers by xOBA
name Pitches AVG Vel Effective Vel SwStrk Called Ball BIP AVG EV xOBA xBABIP xBACON
Aroldis Chapman 489 100.6 87.3 17.6% 12.3% 30.9% 114 87.8 .214 .178 .187
Hisashi Iwakuma 420 88.4 88.2 6.9% 24.3% 30.0% 100 88.7 .214 .155 .171
Rich Hill 582 90.7 90.4 12.9% 24.7% 33.5% 117 87.4 .228 .148 .158
David Phelps 423 94.5 93.2 10.9% 19.9% 30.3% 83 90.3 .238 .175 .193
Ryan Buchter 779 92.8 93.0 9.2% 19.0% 35.9% 173 88.8 .244 .133 .151
Seung-hwan Oh 594 93.0 91.9 13.6% 17.3% 31.0% 122 92.3 .244 .178 .201
Tyler Thornburg 518 94.6 94.0 9.7% 18.1% 32.2% 121 91.6 .251 .186 .194
Brad Brach 544 95.4 94.0 12.3% 15.6% 29.6% 126 88.5 .256 .161 .188
Tyler Anderson 428 91.0 91.0 4.9% 18.7% 31.1% 113 86.2 .261 .224 .231
Kevin Siegrist 470 93.3 93.8 8.5% 20.2% 33.2% 115 89.0 .262 .155 .192
SOURCE: https://docs.google.com/spreadsheets/d/1Ye7q3i7IuvrVDnoIeet2sNlGsAVzFudX_dti4qXettE/edit#gid=635262094
Minimum 400 Four Seamers Thrown

Aroldis Chapman certainly has to be the top of this list. Especially when you factor in his 17.6% swinging strike rate and insane 101+mph velocity. Chapman has the best fastball in MLB. Buchter has some ludicrous spin rate on his fastball, which Eno Saris wrote about a few days ago. Iwakuma, I personally wouldn’t have guessed would end up on this list, but the AL West is a blind spot of mine in MLB, so I may have simply missed out on him.

One thing to notice, though, the top fast balls are not necessarily linked to velocity. Yes, Chapman is at the top of the list, but Iwakuma is right behind him, throwing 12 mph slower. Thornburg, Brach, and Phelps are all above average velocity, but nothing crazy.  This list isn’t dominated by guys throwing 97-98 mph, you see some 91, some 93, even a little 88.  These are average fastball velocities inducing a lot of very weak contact.  Velocity is not the determining factor in this sort of success. I love seeing that.

Applying the same ranking system to change-ups, albeit with a minimum of 200 pitches thrown, here are the top 10 change ups:

Top 10 Change Ups by xOBA
name Pitches AVG Vel Effective Vel SwStrk Called Ball BIP AVG EV xOBA xBABIP xBACON
Stephen Strasburg 284 89.3 90.5 15.8% 9.2% 37.3% 87 85.9 .139 .101 .120
A. J. Schugel 262 82.9 81.6 14.1% 11.1% 31.3% 71 85.5 .186 .107 .146
Kyle Hendricks 504 80.5 79.8 22.0% 3.2% 27.8% 182 81.9 .196 .164 .176
Danny Duffy 273 85.4 86.4 20.9% 11.0% 33.0% 87 87.7 .198 .151 .183
Fernando Rodney 329 83.2 82.6 20.1% 16.7% 29.8% 78 81.4 .209 .160 .162
Michael Fulmer 285 86.4 86.4 17.5% 14.0% 34.0% 70 89.8 .214 .190 .191
Dillon Gee 214 84.0 84.0 20.1% 9.8% 27.6% 69 85.3 .215 .184 .201
Aaron Sanchez 200 89.0 88.5 9.5% 11.0% 41.5% 55 89.0 .218 .182 .187
Danny Salazar 354 86.7 85.5 20.1% 8.5% 19.5% 141 91.5 .219 .167 .185
Marco Estrada 627 78.1 76.4 20.3% 7.8% 32.7% 196 81.9 .220 .169 .183
SOURCE: https://docs.google.com/spreadsheets/d/1Ye7q3i7IuvrVDnoIeet2sNlGsAVzFudX_dti4qXettE/edit#gid=635262094
Minimum 200 Change Ups Thrown

Strasburg’s change up has been deadly this season, producing some exceptionally weak contact.  Not only weak in exit velocity, but also weak in launch angle as well.  Contact off his change up as much like a lonely puppy, it goes straight towards the first fielder it finds, as you can see represented in that .101 xBABIP.  I didn’t know xBABIP even got that low.  One base in every ten batted balls, so much for putting the ball in play making things happen.  You might be better off striking out than swinging at his change up, luckily 37% of his change ups are called balls, so if you can identify it and lay off, you might survive.

Michael Fulmer is having an extraordinary rookie season, and his change up is a big reason why. He has 17.5% swinging strike rate, 14% called, and the balls put in play have a .214 xOBA and .190 xBABIP. That is incredible. I mean, those stats match Chapman’s four seamer, if you want to look at it that way. Granted, he throws far fewer change ups than Chapman throws fastballs, as you’d imagine, but the quality of this pitch is right up there with the best of them.

Marco Estrada has limited batters to merely 82 mph average exit velocity on his change up, which he throws very, very often. He has thrown 627 change ups so far this season, the second most in MLB, only Shoemaker has thrown more (829). While Shoemaker’s change up is above average in its own right, Estrada’s is certainly on a different level, registering a mere .169 xBABIP and .183 xBACON.

For the curve balls, minimum of 200 pitches, the top 10 pitchers:

Top 10 Curve balls by xOBA
Name Pitches AVG Vel Effective Vel SwStrk Called Ball BIP AVG EV xOBA xBABIP xBACON
Clayton Kershaw 255 73.7 72.8 9.4% 12.9% 38.8% 76 80.8 .103 .124 .125
Corey Kluber 362 83.9 83.2 20.4% 12.2% 28.2% 122 84.4 .119 .109 .118
Madison Bumgarner 338 75.1 74.4 10.9% 15.4% 34.0% 97 85.4 .141 .130 .136
Jerad Eickhoff 506 75.3 74.6 9.9% 23.7% 32.0% 137 84.1 .163 .138 .151
Trevor Bauer 358 78.1 76.6 7.3% 15.6% 40.2% 83 91.0 .164 .141 .157
Jose Fernandez 742 84.1 84.1 20.4% 17.8% 26.1% 222 88.8 .165 .132 .142
Will Harris 254 82.4 81.5 8.7% 11.4% 34.3% 64 90.7 .168 .189 .192
Mike Montgomery 202 77.5 76.9 13.4% 15.3% 34.2% 60 87.6 .176 .152 .153
Carlos Carrasco 232 84.0 83.7 12.9% 24.1% 28.9% 68 88.9 .179 .140 .163
A. J. Griffin 237 67.1 66.7 10.1% 16.9% 33.8% 67 82.3 .191 .167 .186
SOURCE: https://docs.google.com/spreadsheets/d/1Ye7q3i7IuvrVDnoIeet2sNlGsAVzFudX_dti4qXettE/edit#gid=635262094
Minimum 200 Curve Balls Thrown

Clayton Kershaw obviously has the best curve ball in baseball. He has had the best curve ball in baseball for many years now. He’s the best pitcher in baseball, a lefty, and has the best curve ball. It isn’t fair. It also isn’t fair that injuries have taken him away from us. Hopefully he has a healthy rebound very soon.

Corey Kluber’s curve ball specializes a bit more in swing and miss, while Eickhoff’s and Carrasco’s are both more about the called strike. Getting an umpire to call a strike on a curve ball can be difficult, especially on a good curve ball, but Jerad Eickhoff and Carlos Carrasco have each managed to get a 24% called strike rate so that this season, in addition to the extremely weak contact they have induced.  Meanwhile, Jose Fernandez has excelled in both called and swinging strikes with his curve ball, and I could easily see him taking another step forward with the pitch in the coming years, as he matures a little, lets not forget he is only 24 years old.  Not that he needs that sort of development, considering he is already arguably one of the top 10 pitchers in MLB.

I made a google doc containing all of this information. You can feel free to look and play with the data, if you’re curious. Personally, I find it very fun to mess around with. I love seeing how pitchers fair with their arsenal, especially compared against the backdrop of reports from scouts, and whatever pitch may be particularly eye popping at any given moment.  You can find all of the other pitches (except screwballs and eephus, which are so rare that I opted not to include them). Sinker, splitter, slider, knuckleball, they’re all there. You can feel free to sort by pitch velocity, effective velocity, swinging strike rate, or whatever else. I have a lookup page that allows to get at a glance stats for individual pitchers.

This is the first step to a larger project I’m working on, I aim to add batters to this very soon, hopefully this weekend. After that, I’ll work on mixing the data together to build a batter versus pitcher match up tool, which will hopefully be useful for DFS.

We hoped you liked reading Using Statcast and xStats To Value Pitches by Andrew Perpetua!

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Andrew Perpetua is the creator of CitiFieldHR.com and xStats.org, and plays around with Statcast data for fun. Follow him on Twitter @AndrewPerpetua.

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davels
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davels

Interesting project. Can you do handedness splits on the data also?