This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
-
Updated
Jun 9, 2024 - Python
This project develops a machine learning model to predict the salaries of baseball players based on their past performance.
MLB-Tunnel-Bot is a X bot that tweets about the best pitch by Tunnel Score (a metric I created) from the day prior during the MLB season.
Python Baseball Data and Analysis
V3.0 of my MLB Game Outcome Prediction Model
Web app designed to predict a pitcher's pitch selection in various scenarios. Intended for use with MLB the Show's Diamond Dynasty, but can be used IRL too.
Holds public data for the Nippon Professional Baseball (NPB) League, a professional baseball league based in Japan.
The repo for www.mlbtradetrees.com. Analyze any trade in baseball history!
StatSphere is a cutting-edge baseball statistic program that revolutionizes the way you analyze player performance.
Projecting Win Totals for Personalized MLB Rosters
A Neural Network model that can predict the probability of a pitcher earning more than 2.5 strikeouts, more than 3.5 strikeouts, all the way to 9.5.
MLB Data Explorer
A set of simple analyses looking at various facets of no-hitters
(a budding sabermetric tool for research of college teams)
Baseball Data Center
Slash Line is a fantasy baseball application that incorporates customizable leagues, baseball analytics and current media in one site.
This project aims to discover correlations between data collected by Whoop (i.e. sleep/recovery scores) and data collected by Blast sensors (i.e. bat speed)
A Python API to retrieve and read MLB GameDay data
Add a description, image, and links to the baseball-analytics topic page so that developers can more easily learn about it.
To associate your repository with the baseball-analytics topic, visit your repo's landing page and select "manage topics."