Stats class for College Baseball CSTV/GameTracker
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Updated
Apr 25, 2015 - Python
Stats class for College Baseball CSTV/GameTracker
Modeling of winning percentages as compared to those provided by Vegas
"I'd walk through hell in a gasoline suit to play baseball." - Pete Rose (Charlie Hustle). Python scripts to pull MLB Gameday and stats data, build models, predict outcomes, make plays.
This repository contains code which generates a stat for baseball pitchers.
Baseball Pitch Prediction with Deep Learning
Project to parse retrosheet baseball data in python
A Python 3 Client To Interact with MLB.com Stats
A Python program that uses Scrapy to scrape baseball statistics from https://baseballsavant.mlb.com to use to calculate players that should start improving or getting worse.
Using Machine Learning, Regression Analysis, Sabermetrics, and the Love of the Game to predict daily projections for MLB players
Creating a visual interactive dashboard for the Lahman Historical baseball Database
Using the Pybaseball-database to create a Points based ranking dashboard
mlbgame v3-beta MLB JSON API
Baseball Discord bot that can post up-to-date scores, lineups, and home runs.
Predicting Ump Accuracy
Scraping historic MLB data then estimating each team's probability of reaching the 2020 postseason
This program utilizes Python's csv module to compute statistics.
Hitting vs Pitching vs Fielding vs Baserunning (Feature Importance)
MLB Team Runs Allowed Prediction Project (Linear Regression)
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