Stats class for College Baseball CSTV/GameTracker

A basic Poisson model to predict the World Cup

A textual analysis of public NFL scouting reports

An attempt to use supervised machine learning models to predict the outcome of NFL games

🔮 Predictive statistical model (NBA) built using web-scraper data and pandas.

This software is designed for cricket coaches to analyse players. You can export your data as a CSV file which you can import in Excel or Google Sheets.

Python scripts and csv files used in NFL Draft Explorer Visualization

Machine Learning model to predict the scores of NFL games

Data visualization that provides an at-a-glance view of a soccer shooting performance relative to location

| 🏆 | Sports Analytics | 📊 | for Cricket

Sports Analytics for Cricket

This repository contains code which generates a stat for baseball pitchers.

A bot that provides soccer predictions using Poisson regression

A quick and dirty way to pull various cuts of data from the incredible NCAA Basketball advanced stats website KenPom

A flexible web scraping application that will pull basic and advanced NBA box score data

Project to parse retrosheet baseball data in python

Trip tracker is Elasticsearch based tracker of user trip activities harvested from GPX files.

The goal of this analysis is to probabilistically predict whether or not a player will swing at a ball that comes their way. This analysis ultimately utilizes a Random Forest Algorithm in order to achieve this goal. Using 1500 estimators, this algorithm concludes with a 79.96% Accuracy Score and a 76.72% F1 Score. The model is expected to scale …

Simple functions for plotting relevant informations.