Showcasing my baseball analytics projects.
View the Project on GitHub jjsvenson/jj-svenson-baseball-analytics
Hello, I’m JJ Svenson, a fourth year Statistics and Data Science major at UCLA with a passion for data analytics. I am entering my fourth year as a Student Manager and Data Analyst for UCLA Baseball and was a Baseball Analytics Intern for the Yarmouth-Dennis Red Sox of the Cape Cod Baseball League for the 2025 season. Below are the baseball analytics projects that combine my knowledge in statistics and data science with my love for baseball. My goal is to investigate statistics relating to player performance.
In this project, I created code in R to create a report analyzing pitchers when given Trackman data.
In this project, I created code in R to create a report analyzing the results of all NCAA pitches of similar shape/metrics to a target pitcher’s pitches when given Trackman data.
In this project, I created code in R to create a report analyzing pitch sequencing when given Trackman data.
In this project, I used R to code a report that could be used daily to evaluate a team’s hitters using Trackman data.
This project uses R to evaluate a catcher’s performance when given Trackman data.
This project uses R to evaluate a hitter’s performance when given Trackman data.
I am always looking to improve my reports and to hear the opinions of others. If you have any questions or comments, feel free to connect with me at svensonjj@gmail.com or view my LinkedIn!