Unleash the hounds :-þ

I’ve had it in the back of my mind for some time now that it wouldn’t be too much of a leap to alter my parser from the collection of batter-related transition state changes to the collection of pitch data … both sets of information are in the same xml file.  So, last night, after I got down to the last three differences between my parsing results and those from Retrosheet, I decided to give it a whirl.

Oh, oh, oh … it was a piece of cake compared to generating transition state changes … and now I have a database table of 715819 pitches by 51 fields for each pitch.  Woohoo!

Now the question is:  what questions to ask about pitches???  I think it’s PCA time … and also time to revisit charts in R.

Pitch locations for the first three games of the season:

Pitches from the first three games that were ‘called balls’:

 

… not bad there, ump!

On the other hand … pitches that were ‘called strikes’:

 

… no wonder the players get cheesed at the umpires :-þ

On another other hand though … pitches that were swung at:

 

… pretty sure the umpires figure the batters are blind too!


And now … hits!

Miguel Cabrera’s spray chart for 2016.  Representative field 330′ down the lines and 371 to center.

 

 

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cap56cruncher

Long-time resident of London, Ontario - with an all-too-short diversion to Quebec City. Married to my best friend for 35 years and counting, and proud father of the five nicest kids on the face of the planet.

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