For the link to my code, my GitHub page is here. Introduction The launch angle revolution has changed the way baseball teams develop hitters. There have been many hitters that have raised their launch angles and had success such as J.D. Martinez, Max Muncy, and, just recently, Vladimir Guerrero Jr. However, throughout the launch angle... Continue Reading →
Dominic Hamel’s Unique Fastball
Dominic Hamel was drafted 81st overall by the New York Mets. The DBU right-hander posted a 4.22 ERA this past year, however, he mowed hitters down by striking out 13.4 hitters per 9 innings. Coming into drafts every year, we hear about pitchers that can blow away hitters with upper 90’s fastballs and can dominate... Continue Reading →
The Abnormality of Tyler Rogers
A lot of being a great pitcher is related to being different or not average, like having a very low or high spin rate on a fastball. That trend is obvious with a certain pitcher; Tyler Rogers of the San Francisco Giants. As many of you know, Rogers is a submarine pitcher and has an... Continue Reading →
Making Pitching Decisions Based on Predictive Modeling Part 2: In-Game Usage
In my last article, I built a model to predict the performance of every single at-bat to help with making bullpen decisions. As a reminder, I used a random-effects model with the random variables being times through the order and platoon matchup and the fixed effects being pitcher and hitter wOBAs. I decided I wanted... Continue Reading →
Making Pitching Decisions Based on Predictive Modeling
Baseball is all about matchups. It is called the most individual team sport for a reason, as pitchers and hitters are all alone to compete against one another. Those matchups create scoring, either by the batter winning multiple in a row, or getting the most out of it and putting a ball into the seats.... Continue Reading →