Expanding the Strike Zone

Data:

Data for this project was scraped from MLB Savant: Statcast. I first scraped the raw data for the 2024 and 2025 seasons. These raw sheets were used in the strike zone analysis and used to create the spreadsheets for the simulation.

statcast2024.csv: Raw 2024 Pitch-by-Pitch Data
statcast2025.csv: Raw 2025 Pitch-by-Pitch Data

The following spreadsheets were cleaned, and they are the files necessary to run the simulation:

pitcher_list.csv (Pitcher Options): valid pitcher options (pitcher id, name, handedness)
pitchnames_and_estsd.csv (Pitch Options): valid pitch options with standard deviation, dynamic to pitcher and batter
clean_pitcherdata.csv (Full MLB Dataset): all data on valid pitchers in 2024 and 2025 seasons

If you're interested in how I turned the raw data into the cleaned sheets used for the simulation, download this R code with the steps!

Strike Zone Analysis Files

The following code utilizes the Raw 2024 and 2025 Pitch-by-Pitch data. This section has code for EDA to begin this project and discovering where umpires actually call strikes compared to the set strike zone.

background_numbers.R: Batter & Pitcher Behavior and EDA on the Strike Zone
changingstrikezone.R: Testing and first version of monthly strike zone predictions for umpires
25strikezone-nostance.R: Full 2025 image and gif for visualizing umpire called strike locations
24vs25strikezone.R: Full 24 and 25 image and gif for visualizing umpire called strike locations

Simulation Files

The following code utilizes the cleaned spreadsheets Pitcher Options, Pitch Options, Full MLB Dataset. This section shows how the simulation was build first using R, then converted to Python, and adapted to a Python/Flask user interface.

Simulation R Code:

corrected_fullab.R: R version of the full simulation, same as how it runs in python/flask version

Simulation Python, Flask, HTML Code:

full.py: Full simulation converted from R to run simulation functions
app.py: Displays user options and calls functions from full.py to determine simulation results and keep track of AB
index.html: Creating UI to display selections, strike zone, and results to the user
page.js: Allowing users to move a dot over a strike zone visual, convert to strike zone coordinates, and draw standard deviation around pitch
page.css: Style and formatting of UI