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THE BOOK--Playing The Percentages In Baseball

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Thursday, June 10, 2010

Figuring out command

I’’m glad there are others also thinking about this:

With fastballs, you either go high heat or throw at the knees. With sliders, there’s back foot or back door. Curves are intended to be thrown either anywhere in the dirt or anywhere in the zone. Anyway, those are the assumptions you need to make if you believe clustering makes sense. Furthermore, if you’re limited to k-means clustering, you might as well assume that all pitchers have two intended locations for their fastballs. That’s what I did, anyway. So I gave each pitcher his own two separate cluster centers, and found each pitch’s standard deviation from those centers, grouping by pitcher. Here were the leaders:

I’m not sure about a fixed “2”, but it’s a good start.


(12) Comments • 2010/06/10 • SabermetricsBall_Tracking
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