2026 Kernelytics Baseball Blog

Creating a Measure of Plate Discipline

By normal@prospectleague.com | August 6, 2026

Author: Connor Courtright – Computer Science and Data Science Major at the University of Alabama 1. Introduction Plate discipline is one of the most important traits in a hitter, yet…

Creating a Command+ Metric for the 2026 Prospect League

By normal@prospectleague.com | August 3, 2026

Author: Carter Light – Applied Statistics Major at Purdue University and CornBelters Analytics Intern 1. Introduction As MLB front offices have adapted year after year to the analytical revolution sweeping…

Count-Level Pitch Effectiveness in the 2026 Prospect League

By normal@prospectleague.com | July 27, 2026

Author: Jonah Hofeld – Applied Mathematics Major at Boston University and Cornbelters Analytics Intern. Introduction In my previous article, published in early June, I utilized Prospect League Trackman data to…

Whiff% & Pitch Profile Analysis for the 2026 Prospect League

By normal@prospectleague.com | June 12, 2026

Author: Jonah Hofeld – Applied Mathematics Major at Boston University and CornBelters Analytics Intern 1. Introduction For over a decade, strikeouts have been rising at every level of baseball. At…

Run Expectancy Matrix for the Prospect League

By normal@prospectleague.com | May 26, 2026

Author: Jack Hughes – Computer Science Major at Georgia Tech and Normal CornBelters Baseball Analytics Intern Intro Coming into the summer, I had no idea what the run scoring environment…

About Us

The Kernelytics blog is back for a fifth season! The blog is the work of 8 summer interns with the Cornbelters, each with a different background in baseball and analytics. It serves as a place for these interns to post various analytical projects and writing for both the Kernels Collegiate League (KCL), as well as the Normal Cornbelters. Thank you for reading!