A Python API to retrieve and read MLB GameDay data

MLB Data Explorer

An open-source college baseball analysis package for Python. Includes functionality for data acquisition and calculation of advanced metrics.

Data Science Projects done at Data Trained Education during PG Data Science & ML Course

Unofficial .NET SDK for the MLB Stats API.

Download, parse, and wrangle Lahman and Retrosheet data to tidy csv files. Analyze with Python and Pandas in Jupyter notebooks.

Realtime MLB Insights using Streamlit

MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API) with client demo

Public Repository for Baseball Prospectus

Python Baseball Data and Analysis

R package for importing historical baseball data from Retrosheet

A short study evaluating a major league baseball players average impact in a plate appearance.

Console program that simulates baseball games and allows you to build and test a parlay against the Sportsbook Odds. Grabs statistics for the starting lineups of each team and simulates hundreds of thousands of games between them

machine learning models for predictions on baseball data

Predicting MLB player salaries and team wins with machine learning regression models.

Windows GUI program for viewing individual baseball game stats

AWS-hosted program to collect and prepare a database of MLB games to be used to build a machine learning model for predicting what team will win a game.

This project provides the formulas to calculate multiple advanced baseball statistics like wOBA, wRAA, wRC, ISO, BABIP, FIP, WHIP. It also provides an application that allows the user to interact with the data by selecting multiple players to compare their stats.

A short notebook analysing batting statistics from the 1983 baseball season. The broad aim of the project is to design models that can predict a players salary from some of their offensive performance statistics.