Build columns from the expected dropback model. Will return NA on data prior to 2006 since that was before NFL started marking scrambles. Must be run on a dataframe that has already had clean_pbp() run on it. Note that the functions build_nflfastR_pbp() and the database function update_db() already include this function.
add_xpass(pbp,...)
Arguments
pbp: is a Data frame of play-by-play data scraped using fast_scraper().
...: Additional arguments passed to a message function (for internal use).
Returns
The input Data Frame of the parameter pbp with the following columns added:
xpass: Probability of dropback scaled from 0 to 1.
pass_oe: Dropback percent over expected on a given play scaled from 0 to 100.