Similar Players in MLB
Aug 11, 2020·
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1 min read
Christopher Teixeira
As an avid baseball fan, each game I watch usually includes a comment like “Player A is just like Player B”. This has inspired me to look into a mathematical way to discover which players are similar to each other. This project utilizes a few different techniques, data sources, and ultimately a little judgement on how to fine tune the algorithm.
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.