After using oddsmakr::odds_consensus to scrape data and you've compiled it into a dataframe, you can plot a time-series of over-under vs.
gridiron_ou(dataset, week_no)
\itemdatasetdataframe or tibble containing public consensus share of bets and over-under for multiples games for a given week pulled more than once by odds_consensus function from oddsmaker package
\itemweek_nothe week number to visualize
a patchwork plot showing all spread and spread_share for each game
After using oddsmakr::odds_consensus to scrape data and you've compiled it into a dataframe, you can plot a time-series of over-under vs.