Predicting Pitch Types
Mar 1, 2017·
·
1 min read
Christopher Teixeira
TruMedia Networks sponsored their 2nd Baseball Analytics Hackathon to bring together some of sport’s brightest developers and analysts to see what projects and analysis they can create. Providing pitch data over the previous three years, I took the opportunity to explore the ability to predict the next pitch type. The link for this project walks through my analysis in R using a multinomial logistic regression model to predict pitch types for Jon Lester.
Authors
Christopher Teixeira
(he/him)
Data Scientist
Christopher Teixeira is a Data Scientist with extensive experience applying statistics, applied probability,
and operations research to solve complex organizational challenges. Throughout his career, he has partnered with
diverse stakeholders to drive data-informed decision-making, helping organizations navigate the nuances of various
analytical techniques to find optimal solutions. Christopher has a proven track record of delivering code in multiple languages,
leading large-scale technical efforts, and responding to technical proposals and developing relationships with customers.
He holds an M.S. in Operations Research from George Mason University and a B.S. in Mathematics from Worcester Polytechnic Institute.