▲ 4 r/Sabermetrics+2 crossposts

I built a College Baseball Explorer for exploring D1 baseball data

I've been working on a project called College Baseball Explorer, an interactive site for exploring college baseball statistics and analytics. One thing I wanted to do differently with this project is to keep it free and open source rather than putting the data and tools behind a subscription/paywall. The goal is to make college baseball analytics accessible to anyone who wants to explore it.

It currently includes ACC, SEC, Big 12, and Big Ten data, with tools to look at performance by season, conference, team, and player. I've also added advanced metrics, percentile rankings, interactive tables/visualizations, and downloadable data.

The project started as an ACC baseball data project and gradually grew into something broader, so I recently relaunched it as the College Baseball Explorer.

I'm hoping to continue expanding it with features and perhaps conferences.

I'd love to hear what other college baseball fans, coaches, analysts, or data folks would want to see added.

College Baseball Explorer: ballclubdata.com

https://preview.redd.it/62xhkesmpxih1.png?width=2816&format=png&auto=webp&s=665726185f5d0b2ccbb3ac34e3ebf9e081f4e6e7

reddit.com
u/Other-Win5218 — 8 days ago
▲ 7 r/Sabermetrics+2 crossposts

ACC Baseball Explorer Web App

A little over a month ago, I created and released accbaseballr, a CRAN-approved R package built to solve two problems I ran into while trying to analyze ACC baseball:

  • There wasn't a single, accessible source for ACC player statistics.
  • Advanced metrics used in Major League Baseball (wOBA, wRC+, and FIP) weren't readily available for college baseball.

I also realized that it’s not accessible to everyone: only R users. A major purpose of creating accbaseballr was to make the data accessible, so I built a Shiny app.

ACC Baseball Explorer makes advanced ACC baseball statistics available through an interactive interface. Users can browse batting and pitching statistics by season and team, compare conference-wide team performance, and explore relationships between key offensive and pitching metrics.

Check it out!

reddit.com
u/Other-Win5218 — 25 days ago
▲ 6 r/NCAA+2 crossposts

A Sabermetric Look at the 2026 Men's College World Series

I aggregated player-level stats (wRC+, wOBA, ISO, FIP, K-BB%) for all 8 CWS teams to compare strengths. A few takeaways:

  • Georgia's offense was on another level (wOBA of 0.43), but couldn't win two games in a row
  • Outside of Georgia and Alabama, the teams are nearly identical offensively
  • UNC and Oklahoma are a near-even matchup in terms of batting, but UNC's pitchers are outperforming their K-BB% while Oklahoma's is underperforming theirs

That last point is why I'm taking North Carolina in the final.

open.substack.com
u/Other-Win5218 — 2 months ago
▲ 29 r/u_Other-Win5218+3 crossposts

I built an R package with advanced sabermetrics for every ACC baseball season since 2011 - now available on CRAN

I came up short when looking for advanced baseball metrics like FIP, BABIP, wOBA, and wRC+ for ACC baseball on Baseball Reference and the NCAA site. So I spent the month of May building it myself.

The result is accbaseballr. It covers every ACC baseball season from 2011–2025 and includes both traditional stats and advanced sabermetrics for thousands of player and team seasons. Install it with: install.packages("accbaseballr")

As a taste of what the data can surface, here’s the top 25 single-season wRC+ performances (of players with 40+ games) in ACC baseball since 2011):

https://preview.redd.it/qf8vucqfpg6h1.png?width=884&format=png&auto=webp&s=54f6c58a05b0ec6c07deb973d8fbd68f5de83106

I'm still new to the college baseball analytics community, so there may be better tools for this out there already. Even so, it was a good learning experience to build this package. If you build something with the package, please share!

reddit.com
u/Other-Win5218 — 2 months ago