Patrick McFarlane

py_ball. Python API for stats.nba.com with a focus on NBA and WNBA applications

basketball_data_science. Working through Basketball Data Science

shot_probability. Building a shot probability model from NBA shot chart data

location_data. Generating shot, foul, and assist charts

draft_combine. NBA Draft Combine Analysis

challenges. Exploratory data analysis of the new NBA challenge rule

assist_networks. Visualizing team assists as a network of player nodes

scoreboard. Using Jupyter to build a dashboard displaying a basketball scoreboard

synergy. NBA Synergy data exploration

l2m. NBA Last Two Minute Report exploration

ETM. Basketball Metric Development

franchise_history. WNBA and NBA franchise history visualization

nba_lottery. Tool to simulate the NBA lottery as teams are revealed

team_additions. Visualizing team and player statistics in the context of transactions

win_probability. Developing NBA and WNBA in-game win probability models

team_travel. Visualizing and quantifying NBA team travel

rebounding. Visualizing and quantifying rebounding

approach. Modeling expected strokes as a function of distance from the hole and lie type

wnba_elo. WNBA ELO Ratings

nyc_bb. Visualization of New York City Public Basketball Courts

nba_official_evaluation. Leveraging Last Two Minute report and Coach's Challenge data to evaluate NBA officials

bball-analytics. Jupyter Notebook

nba_lottery_site. Site to host live NBA Draft Lottery Odds

basketballrelativity.github.io. HTML

playing_time_viz. Visualizing playing time throughout WNBA and NBA games

personal. Personal website

wnba_lottery. Tool to provide updated odds by team for the WNBA lottery as teams are revealed

defense. Visualizing and quantifying defensive impact

salaries. Exploratory Analysis of NBA Salary Data

video. Accessing play-by-play video