Name: The Evolution of Baseball Analytics
Start: 2026-06-18T18:30:00-07:00
End: 2026-06-18T20:30:00-07:00

**UPDATE**: This event will be virtual-only this month.

**The Evolution of Baseball Analytics: Data, Technology, and Statistical Practice in Professional Baseball**
The history of data collection and record keeping in Baseball goes back nearly as long as the sport itself. But how that data gets collected, interpreted, and applied has changed dramatically over the past few decades. This presentation traces the evolution of baseball analytics, from early box score statistics through the Moneyball era and into the high-resolution tracking systems used today. It covers how these changes have shaped front office decision-making, on-field strategy, and player development, and introduces some of the core statistical frameworks that underpin modern baseball analysis.

**Virtual Attendees**:
We will be broadcasting this presentation via Zoom. We will begin promptly at 6:30 pm PT. **Please RSVP for online attendance to get the Zoom link under the Hybrid location info.**

***Legal Disclaimer:***
*The advice and/or information provided at this event is not endorsed by nor should it be construed as educational/legal advice from Chapman University.*

Javier Orraca-Deatcu

Emil Hvitfeldt Hansen

Chelsea Parlett

Pablo Barajas

Rebecca B

SoCal R Users Group (SoCal RUG)

R User Groups

R Consortium

UCI Merage School of Business

The Donald Bren’s School of Information

Chapman University's Fowler School of Engineering

Fowler School of Engineering

Technology

Statistical Computing

Big Data

Machine Learning

Data Analytics

Data Visualization

Predictive Analytics

Data Mining

R Project for Statistical Computing

Data Science

Programming in R

Applied Statistics

Business Intelligence

Open Source

Data Management

Tyler Burch is a Lead Data Analyst in baseball research and development with the Boston Red Sox, where he works on the Player Evaluation team after several years in Baseball Sciences. Before joining the Red Sox, he was a postdoctoral researcher at Argonne National Laboratory, developing simulation and machine learning methods for particle physics on Aurora, the first U.S. exascale computer. He earned his Ph.D. working on the ATLAS experiment at CERN, with research focused on rare Higgs boson interactions, machine learning for particle classification, and software for high-performance detector systems. Outside of work, Tyler enjoys jazz, baking bread, and running.

Tyler Burch