data science – Analytics In The Outfield

Isolated OBP

The other day I was thinking about the metric ISO (Isolated Power) which is SLG minus AVG and thought about what a metric of OBP minus AVG would tell us. Of course someone already thought of this, namely Michael Salfino of The Athletic here. It always seems like someone smarter thinks of the good ideasContinue reading “Isolated OBP”

Whiff-le Ball (Part 2: Naïve Model)

We saw in the previous post that there were quite a few differences when a hitter whiffs versus when they don’t. The data was sliced and diced in many ways like the count, state, and pitch. In this post I will be getting into some data science discussing a Naïve Model, which is basically justContinue reading “Whiff-le Ball (Part 2: Naïve Model)”

Clustering Starting Pitchers

My favorite machine learning algorithms are unsupervised clustering. I think there is elegance in finding patterns in data that we don’t know about. Clustering is grouping similar data together in a data set when the groupings are unknown. This is based on how far away data points are from other groups and how close theyContinue reading “Clustering Starting Pitchers”