A place to keep all the code for my short form WNBA data content.
sportsdataverse python package
A full-stack WNBA analytics web app built with Python, FastAPI, React, and PostgreSQL. Features a custom machine learning model, all containerized with Docker and deployed via a full CI/CD pipeline.
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.
Pilot study analyzing psychological drivers of basketball comebacks via media framing and game performance
A tool to automate and optimize DraftKings and FanDuel lineup construction.
🏀 | Dataset pre-processing and Machine Learning models training for WNBA plays-offs prediction.
Statistical models and predictions derived from data from the WNBA 2024 season.
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,
WNBA Playoff Predictor project resorting to Machine Learning.
Daily Fantasy Sports lineup optimzer for all popular daily fantasy sports sites
API for fetching WNBA and NCAAWBB schedules
WNBA logo plots of offensive/defensive efficiency from the 2022 season
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.
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