wnba

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.

An R package to quickly obtain clean and tidy women's basketball play by play data.

GNOME extension to view live scores for your favorite sports teams

Player advanced stats and Elo ratings for WNBA history

The code behind my WNBA video explainers, 180+ scripts since 2024. Cleaned up write ups are in my wnba-analysis repo! 📲

A tool for collecting and transforming sports statistics from various sources into standardized formats. ⚾️ 🏀 🏈 🥋 🏒

Women's basketball analysis in R.

MakeICS is an open-source tool for creating and generating .ics calendar files from schedules, events, and custom data sources. Perfect for automating sports schedules, TV listings, reminders, and other calendar-based workflows.

See the impact of any WNBA player.

Rip a basketball pack in the browser. Ten cards. Five names. 82 nights. The card is a PNG. The walk is a URL. NBA · WNBA · holographic foil.

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.

Predictive models for NBA, NBL, WNBA and Summer League: win probabilities, the full betting market book and player props, published as a static dashboard

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.

WNBA lineup stints and player impact ratings, 2003-2026. 267,293 stints reconstructed from play-by-play, with ARC ratings and channel decompositions.

Predicting WNBA draft prospect fit by team using NCAA career stats and machine learning