Recently Published
Crude Dumb, Simple Attempt at Creating Expected TDs Using One Feature
I just wanted to see how closely a simple model would perform.
KAA, KAA+, KBFAA, and KBFAA+ Creation
This is my attempt to create a Strikeouts Above Average and Strikeouts per Batter Faced Above Average statistics, with their indexes. In doing this, I compare the differences in strikeouts between Kerry Wood's first 490 batter's faced with Paul Skenes.
This was a response to Tom Tango's tweet about the Skenes vs Wood comparison on 9/16/2024
Creating A Median Launch Angle Statistic -- LA50
This is based on Statcast's new EV50 which looks at the median Exit Velocity.
What is a Changeup Comment to Baseball Prospectus Article
The following analyzes the correlation between DRA- and the horizontal, vertical, and velocity differential between changeups and various different pitches. It is a response to the article posted on Jan 3, 2024 by Baseball Prospectus: Seriously Though, What Is a Changeup and What Does It Do? by Daniel R. Epstein
Monte Carlo Simulation
Earlier today, I took a practice exam for the CISA. The exam was 20 questions, with 4 questions for each of the 5 domains.
Out of the 20 questions, I answered 17 correct, not missing more than 1 in any of the 5 domains.
The code produced was a Monte Carlo Simulation for a distribution of outcomes for taking the actual 150 question test as of today. I am assuming a normal distribution of outcomes.
Chapter 5 -- Value of Plays Using Run Expectency
Analyzing Baseball Data with R, practicing the exercises with additional statistical tests by James
Chapter 4 -- The relation Between Runs and Wins -- Analyzing Baseball Data With R
Walking through Chapter 4 of Analyzing Baseball Data With R, and exploring the relationship between Runs and Wins. An overview of Bill James' Pythagorean Expectation formula and improvements. Followed by exercises
Statsbomb World Cup Data
Playing Around with Statsbomb
Analyzing Baseball Data With R
Analyzing Baseball Data with R, Chapter 3