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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sabermetrics
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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Are MLB Stars More Ephemeral?
I have long hypothesized that current MLB stars are more ephemeral compared to past decades. That is, they more quickly come and go,
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Analyzing the MLB’s Home Run Boom
In recent years, Major League Baseball has experienced a boom in home runs. Anyone who remotely follows the game likely know this fact.
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Understanding Common Sabermetric Statistics
WAR, wRC, SPD…all are common sabermetric stats. What do they all mean? How much insight do such stats provide over and above standard
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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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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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