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Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
A tool to automate and optimize DraftKings and FanDuel lineup construction.
sportsdataverse python package
Retrieves sports data from a popular sports website as well as from the NCAA website, with support for NBA, WNBA, NFL, NHL, College Football and mens and womens college basketball,
Web application for plotting events on a sport's playing area with a single click, while keeping track of any other details. Supports download and upload of .csv files.
GNOME extension to view live scores for your favorite sports teams
An R package to quickly obtain clean and tidy women's basketball play by play data.
Player advanced stats and Elo ratings for WNBA history
See the impact of any WNBA player.
Adjusted Plus Minus Models for WNBA players from the 2019 season. Adjusted Plus Minus (APM) and Regularized Adjusted Plus Minus (RAPM) models were fit providing an all in one player value metric for the WNBA.
Analyzes data from the 2009 -2019 WNBA seasons using Linear Regression and Random Forest Modeling to find minimum number of game totals a rookie athlete can expect to play in the upcoming 3 years.
Sass used for a responsive site that displays links for a WNBA team. This website showcases various hover effects. Cross-browser compatible.
Final Project: Analysis on NBA & WNBA pre and post COVID-19 player performance using Machine Learning.
Scraping historical sports data and estimating how well season win percentages represent team skill in various leagues.
Hoops & Ponytails is a group project. Hoops and Ponytails was made to put a spotlight on the WMBA. With this site, you can create your own teams with players from any team. Get game stats and info. One of my fav most projects. This project showed a lot about myself and how far I was behind. With that being said, We never gave up. Up all night, Up early morning with the group on ZOOM.
Revision of the concepts of Inferential Statistics using a dataset containing data from WNBA players.
WNBA Playoff Predictor project resorting to Machine Learning.