Visually Analyzing the Royals Turnaround
The 2024 KC Royals were a pleasant surprise, making the franchise’s first postseason since 2015. Finishing 86-76 was a marked turnaround from the
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Predicting Winning Percentages
Earlier this season, my beloved Royals got off to a terrible start. Through 40 games, they were 14-26. The organization said they would
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Scraping Spring Training Rosters
Earlier this spring, I wanted to pull down spring training rosters and found that Wikipedia was the friendliest source. Below is the approach
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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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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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R Analysis of Rookie Data
The below is the HTML output of an R Markdown file I recently completed for a class project. The project isn’t perfect (I
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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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