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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MLB Attendance Time-Series Predictions
Many people who follow the MLB know attendance is down in 2018. The season will likely end with a year-over-year attendance decline of
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A Review of Baseball Data Sources
Hello, readers! Its been a while. I’ve taken a slight hiatus from blogging, but I have a few projects in the pipeline. To
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Multi-Armed Bandit Explore-Exploit Framework
I recently read an interesting article about about the concept of “openers.” The article shared the idea of having a reliever pitch the
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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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Forecasting Mike Trout’s Wikipedia Searches
At the moment, Facebook is a controversial company. However, data scientists can probably agree on this statement: Facebook’s prophet forecasting package is awesome.
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Game Theory Applications in Baseball
Game theory is the science of strategy. It determines how logical “players” should behave in strategic contexts and predicts the utility the “players”
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