Running on Numbers

The final miles of a race bring agony.

Introduction Somewhere in Arizona and Florida, a groundskeeper wakes up every morning to tend to the fields, ensuring that the grass is perfectly manicured and the dirt is just right.

Introduction The Los Angeles Dodgers once again dominated the headlines in January 2026, securing superstar outfielder Kyle Tucker with a massive four-year, $240 million contract.

Preface The best way to learn something is to teach it.

UCSC-UCI Social at NeurIPS 2025 The first week of December was a whirlwind.

How does this work?

In order to buy runs, you need to buy barrels.

Introduction In this article, we chime in on the current discourse surrounding MLB expansion and realignment.

Introduction Principal component analysis (PCA) applied to Pete Crow-Armstrong.

Introduction Pitch tunneling is the art of deception.

Introduction: The Problem of “Player Comps” “Who does this guy remind you of?”

Introduction: The Beauty of Baseball’s Numbers Manny Machado, Juan Soto, and Eugenio Suarez are three all-star caliber baseball players.

Introduction In a previous article, we introduced logistic regression and applied it to a binary classification problem.

Introduction In this article, we will explore the relationship between swing speed and barrel rate in Major League Baseball (MLB) players.

Introduction Last article, we introduced linear regression and applied it to predict MLB teams’ runs scored given OPS.

Introduction Linear Regression—long before transformers and LLMs, it served as one of the first tools in the machine learning toolbox.

There is no denying that baseball has an element of luck.

Code import pandas as pd import plotly.express as px from helper import process_baseball_data import plotly.graph_objects as go REFERENCE_YEAR = 2025 The Dodgers, defending World Series champs, entered 2025 with sky-high expectations.