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Milt Pappas and the Expected Outcomes Hackathon

Jan 22, 2017

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Sports

Zach Sanderson
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Page 1: Milt Pappas and the Expected Outcomes Hackathon
Page 2: Milt Pappas and the Expected Outcomes Hackathon
Page 3: Milt Pappas and the Expected Outcomes Hackathon

Our starting pitcher• Inform pitch selection

and location based on Run Value

• An “expanded” heat map for situational pitching

Page 4: Milt Pappas and the Expected Outcomes Hackathon

Run Value (wOBA)

Page 5: Milt Pappas and the Expected Outcomes Hackathon

Run Value (wOBA)

Page 6: Milt Pappas and the Expected Outcomes Hackathon

Why it didn’t work• Randomness of

baseball• Complexity of data

(not easy to view)

Page 7: Milt Pappas and the Expected Outcomes Hackathon

Call to the bullpen• Narrow the focus while

maintaining meaning• We kept heat map,

situational filtering and wOBA metric

• Focus: Actionability

Page 8: Milt Pappas and the Expected Outcomes Hackathon

The “Stuff”• What is a pitcher’s

best weapon?• Who does he have the

most trouble with? Why?

• Analyze pitch based on outcome

Page 9: Milt Pappas and the Expected Outcomes Hackathon

Thanks!

Page 10: Milt Pappas and the Expected Outcomes Hackathon

Demo