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

Simulation-Based Decision Making in the NFL using NFLSimulatoR