Code to scrape punting play-by-play data from pro-football-reference.com
and calculate Jon Boi's Surrender Index.
Requires:
pandas
html5lib
beautifulsoup4
lxml
Files:
main.py: Our main loop- calculates the numbers we need for our Bayesian posterior.
Scrapes every game for 10 years, so takes ~30 minutes or so
scraping_functions.py: Functions to scrape play-by-play, punts, weekly schedules, and game links
parsing_functions.py: Functions to convert scraped tables into something useful
scoring_functions.py: Functions to calculate the Surrender Index and it's intermediate values
To reproduce:
Simply run main.py, results will be printed