OPS Projections with Machine Learning
As spring training approaches, the excitement for a new season becomes fresh. Fans and commentators alike discuss teams’ prospects, and multiple organizations release
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When Will a Pitcher Surrender a Run?
Here’s the scenario: Eighth inning in a tight game, a lefty walks to the plate against a right-handed pitcher. Any baseball fan knows
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Using Machine Learning to Predict Baseball Hall of Famers
Being inducted into Major League Baseball’s Hall of Fame (HoF) is the highest honor a baseball player can receive. The achievement is rare;
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How Good (or Bad) Could the Royals Be?
I’ve always found simulation modeling to be highly informative. Given certain conditions and logic, what is likely to happen given repeated trials? What
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Testing Hypotheses using Data Viz
As documented previously on this blog, I am a pretty big Royals fan. The month of July was, then, pretty exciting for me
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Predicting the Next Pitch: A Markov Chain Approach
I’ve written in the past about using machine learning to predict a pitcher’s next pitch, which is a particularly difficult problem. This blog
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A Text Analysis of Hall of Fame Speeches
Every summer, Major League Baseball inducts a small numbers of players into the Hall of Fame, with each inductee giving a speech. This
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Survival Analysis: How Long Do Careers Last?
Survival analysis inspects, well, how long an entity survives. In less morbid terms, it’s a methodology to understand time until event. This blog
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Factor Analysis on HoF Stats
Factor analysis is a methodology to reduce data complexity. Factors are latent variables that represent underlying constructs in data. An interesting baseball-related application
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Finding Similarities Among Pitchers
I’ve had several conversations recently about the nature of baseball stats compared to statistics in other sports, like football and basketball. Baseball, to
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