About the Project

Background

The ACC Baseball Explorer was created to bring modern sabermetric analysis to college baseball. While advanced metrics such as wOBA, wRC+, and FIP have become standard tools for evaluating Major League Baseball, comparable analytical resources for college baseball remain limited.

This project applies similar approaches to ACC baseball, allowing player and team performance to be evaluated in greater context through interactive tools and reproducible statistical methods.

Data Source

The ACC Baseball Explorer uses publicly available college baseball statistics from ACC programs dating back to 2011.

The underlying data is processed through the accbaseballr R package, which was developed specifically to calculate advanced sabermetrics metrics including:

• wOBA
• wRC+
• ISO
• K-BB%
• FIP

The package standardizes raw statistics, calculates league context, and creates a consistent framework for comparing players and teams across seasons.

Technology

The ACC Baseball Explorer was built using:

• R for data processing and statistical calculations
• tidyverse for data manipulation
• Shiny for the interactive web application
• reactable for dynamic player and team tables
• ggplot2 for data visualization
• Quarto for this documentation website

Development

This project was built as a way to explore the application of data analytics and statistical modeling within college baseball.

The goal is to make advanced baseball analysis more accessible while providing a reproducible framework for evaluating player and team performance.