JEFFBAGWELL wins above replacement (WAR) and various other metrics for MLB since 1901.
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Updated
Jun 24, 2024
JEFFBAGWELL wins above replacement (WAR) and various other metrics for MLB since 1901.
WBSC Europe Baseball and Softball Statistics Data warehouse and BI application
Pull current and historical baseball statistics using Python (Statcast, Baseball Reference, FanGraphs)
A package written for R focused on baseball analysis. Currently in development.
A repo of all my baseball analytics projects. Reach me at [email protected]
independent research into the effects of MLB catchers' pitch framing abilities on the success of pitchers
This repository contains a few of the assignments and projects I completed as part of my Sports Analytics course. The final project is titled "Random Forest Model Predicting NFL Comeback at Halftime", which accompanies the Powerpoint containing my interpretation of the model's performance and its usability.
An analysis on the last 150 years of Major League Baseball and the impact that slugging and hitting percentages of batters are in terms of Sabermetrics and other sports statistics.
Analyze player statistics to forecast their future impact on team success, utilizing ML in Python.
An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.
Prebuilt Docker images with Retrosheet's complete baseball history data for many analytical frameworks. Includes Postgres, cstore_fdw, MySQL, SQLite, Clickhouse, Drill, Parquet, and CSV.
This project aims to predict the win rate, hitting average and ERA of 10 KBO teams in the 2020 season. The hitting average and ERA was predicted through a LSTM model and the win rate was predicted through a LGBM model.
A library of web-scraping software for popular SABRmetrics websites.
Investigation into creating a model to predict MLB All-Stars
A baseball ⚾ site for winners.
Lahman databases through the years
A short practice project in which I used machine-learning tools to predict baseball players' on-base percentages using other data on them.
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