Public Repository for Baseball Prospectus
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Updated
Jul 7, 2020 - R
Public Repository for Baseball Prospectus
Using a Random Forest model to estimate the win expectancy at any given pitch in a baseball game.
R package for importing historical baseball data from Retrosheet
A package written for R focused on baseball analysis. Currently in development.
Predictive Modeling in Baseball: a Logistic Regression analysis for my bachelor's Thesis
Data engineering exercise on baseball data
This project focuses on designing, building, and evaluating a model to predict a player's on-base percentage (OBP) based on other performance indicators. We then train a tuned model and evaluate performance.
Project for generalized linear models class at BYU. Modeling the probability that a pitch is a strike using generalized additive models and determining catcher framing abilities and umpire influence on the strike zone using generalized linear mixed models.
This repository contains graduate school work that focuses on predictive analytics in baseball.
Web scraping from the Baseball World Cup’s Wikipedia page using R and plotting the data
An interactive chart of the baseball statistic Wins Above Replacement
Analysis on the MLB strike zone based on data on pitches and calls.
Data analysis and plotting using R to determine which MLB team’s players are underpaid and overpaid for a given year.
This is a collection of statistical analysis of all levels of associated baseball using R and Python. Explore different breakdowns within each folder.
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