Player advanced stats and Elo ratings for WNBA history
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.
See the impact of any WNBA player.
Sass used for a responsive site that displays links for a WNBA team. This website showcases various hover effects. Cross-browser compatible.
Revision of the concepts of Inferential Statistics using a dataset containing data from WNBA players.
Final Project: Analysis on NBA & WNBA pre and post COVID-19 player performance using Machine Learning.
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, U…
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.
WNBA logo plots of offensive/defensive efficiency from the 2022 season
API for fetching WNBA and NCAAWBB schedules
A tool to automate and optimize DraftKings and FanDuel lineup construction.
Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
WNBA Playoff Predictor project resorting to Machine Learning.
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,
An R package to quickly obtain clean and tidy women's basketball play by play data.
Statistical models and predictions derived from data from the WNBA 2024 season.
sportsdataverse python package
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