Running on Numbers
Running on Numbers
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Running on Numbers
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Swing Fast: Predicting Barrel Rate with Fast Swing Rate
scikit-learn
regression
MLB
In this article, we will explore the relationship between swing speed and barrel rate in Major League Baseball (MLB) players. Barrel rate is a key metric that measures the…
Jul 17, 2025
Oliver Chang
Logistic Regression
numpy
classification
MLB
Last article, we introduced linear regression and applied it to predict MLB teams’ runs scored given OPS. Linear regression is great at predicting numerical values. For…
Jul 11, 2025
Oliver Chang
Linear Regression
numpy
regression
MLB
Linear Regression—long before transformers and LLMs, it served as one of the first tools in the machine learning toolbox. Despite the rise of complex models, its role in…
Jun 15, 2025
Oliver Chang
Lucky and Unlucky Hitters
python
analysis
MLB
There is no denying that baseball has an element of luck. Sometimes the hardest hit balls find a glove, and sometimes a blooper falls in for a hit. We can try to quantify…
May 23, 2025
Oliver Chang
State of the Dodgers: Dominant Start or Warning Signs Under the Surface? (Mid May 2025 Check-in)
python
analysis
Dodgers
The Dodgers, defending World Series champs, entered 2025 with sky-high expectations. How are they measuring up about 33 games in?
May 12, 2025
Oliver Chang
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