  In this paper, we introduce an R software package for simulating plays and
drives using play-by-play data from the National Football League. The
simulations are generated by sampling play-by-play data from previous football
seasons.The sampling procedure adds statistical rigor to any decisions or
inferences arising from examining the simulations. We highlight that the
package is particularly useful as a data-driven tool for evaluating potential
in-game strategies or rule changes within the league. We demonstrate its
utility by evaluating the oft-debated strategy of $\textit{going for it}$ on
fourth down and investigating whether or not teams should pass more than the
current standard.
