Presentation Title

Catching Trout

Faculty Mentor

Ronald Yurko

Start Date

23-11-2019 8:45 AM

End Date

23-11-2019 9:00 AM

Location

Markstein 208

Session

oral 1

Type of Presentation

Oral Talk

Subject Area

physical_mathematical_sciences

Abstract

In baseball analytics, researchers are interested in identifying the top players in the league. In today’s game, Mike Trout is arguably the best player in Major League Baseball. In our research, we first assess Mike Trout’s skills and determine his strengths. We then identify one set of players with similar strengths using box score data and another using statcast data. Finally, we combine these datasets and create a final model to distinguish which players are truly “Trout-like”.

This document is currently not available here.

Share

COinS
 
Nov 23rd, 8:45 AM Nov 23rd, 9:00 AM

Catching Trout

Markstein 208

In baseball analytics, researchers are interested in identifying the top players in the league. In today’s game, Mike Trout is arguably the best player in Major League Baseball. In our research, we first assess Mike Trout’s skills and determine his strengths. We then identify one set of players with similar strengths using box score data and another using statcast data. Finally, we combine these datasets and create a final model to distinguish which players are truly “Trout-like”.