What’s Wrong with the Royals’ Offense?
As my friends know, I am a die-hard Kansas City Royals fan. When being realistic, I had modest hopes for the Royals this
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Statistical Analysis
Exploring 2016 Pitching Data
One of my favorite parts of baseball data is its depth. So many interesting nuances exist – we just have to look! That
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Can Latent Class Analysis Identify Chris Sale’s Pitches?
Latent class analysis (LCA) is one of my favorite analytical techniques. Essentially, as the name indicates, the algorithm attempts to discover latent classes
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An In-Depth Analysis of Clayton Kershaw
Clayton Kershaw has been one of the most dominant pitchers in the MLB over the past several years. At only 28, he’s already
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Association Rules Mining on 2016 Game Logs
Since my beloved Kansas City Royals did not make the playoffs, I almost cannot bring myself to pen a post about October baseball.
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Anomaly Detection on Offensive Statistics
In early 2015, Twitter released an open-source R package for anomaly detection. Thinking this package would be a springboard for an interesting blog,
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Analyzing Jake Arrieta’s No-Hitter
No question about it, the Cubs have had an impressive season. One of the reasons for their success, of course, is strong starting
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Inaugural Blog: Eric Hosmer’s Statcast Data
Welcome to baseballdatascience.com! This site combines two of my passions: baseball and data science. I look forward to (hopefully) bringing you fresh, quantitative-based viewpoints
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