College Sabermetrics Project

Completed: December 2022

This research course in sabermetrics was what really sparked my interest in baseball analytics as a whole. Throughout the course, my class and I built a statistical model in R that measures the wins above replacement for players in the Cape Cod Baseball League. The final project tasked me and a partner with tweaking the existing WAR model, in which we decided to switch the main statistic used to calculate pitcher WAR from FIP to xFIP. We felt that the predictive nature of xFIP would be a better statistic to use given that the Cape League focuses on up-and-coming college players who are looking to get drafted.

View our full write-up, including the R code used, here.

We also continue to build on this project a year later by using this data to predict MLB results. You can view our findings here.