World Series Predictions
Who will win the World Series? That is the classic question asked before the start of every MLB season. As with many baseball
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Machine Learning
Tutorial: Machine Learning on Cy Young Voting
This post serves as a tutorial for building machine learning models in Python. The entire codebase for this tutorial can be found on
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Deep Learning on MLB Shift Images
The shift is a major tactical tool in baseball, one that has gained substantial attention recently due to its increased use. Some teams
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Machine Learning to Predict Player Decline
This past off season was interesting for the MLB. Mike Moustakes never signed a big contract. All-star players like Eric Hosmer and Jake
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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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Predicting Tomorrow’s Outcome
Predicting the outcome of future baseball games is notoriously difficult. Some common methodologies are slightly better than a coin flip. If you always
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Which Teams are Most Similar Offensively?
This is a short post about finding similarities among the offenses of MLB teams. To accomplish this aim, I used two statistical methodologies
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Exploring 20 Years of Baseball Data (and Predicting Attendance)
Welcome back, readers! Are you ready for some more baseball data science fun? This blog has two main components: 1) exploring aggregated data
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