Baseball

MLB analysis. Most posts here are sourced from Statcast pitch-level data via a daily automated pipeline into BigQuery; any post that draws on a different data source, like a static academic dataset, says so explicitly.

First Pitches: Standing Up the Statcast Pipeline

Baseball

Pipeline

Proving the pipeline end-to-end - from Cloud Run to BigQuery to this chart.

Coursework Deep Dive: What Actually Predicts a Whiff

Baseball

Featured

Academic Project

A GRAD 505 (Purdue, Foundations in Data Science) project on 2.87 million MLB pitches from 2015-2018: hypothesis tests, a regression, and an ANOVA, and the same lesson repeated three times, statistical significance is cheap at this scale, effect size is not.