MLB Batting Projections
Authors: Danny Cunningham
Working with Shiny for 1+ years
Abstract: Display player MLB batting projections for the upcoming season. Projections come from a machine learning model built with Statcast data.
Full Description: Statcast data is used to train a random forest model that predicts the outcome of batted balls. The model's predictions are combined with the popular Marcel the Monkey projection system (h/t Tom Tango) to produce reasonably reliable batting projections.
Explore the app to find:
- Detailed predictions of batted ball outcomes in any MLB ballpark
- Batting projections for all players (except rookies) for the 2020 season and past seasons
- Lists of the luckiest and unluckiest batters from current and past seasons
- A detailed description of the model and the process powering this app
Enjoy!
Category: Sports
Keywords: baseball, MLB, random forest, machine learning, sports
Shiny app: https://djcunningham0.shinyapps.io/statcast-enhanced-batting-projections/
Repo: GitHub - djcunningham0/Statcast-player-projections
RStudio Cloud: Posit Cloud
Thumbnail:
Full image:
