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.

翻译：在本文中,我们引入了一个R软件包,用于使用国家足球联盟的游戏和驱动器数据模拟剧本和驱动器。模拟是由前几个足球赛季的逐个游戏抽样数据生成的。抽样程序在审查模拟后做出的任何决定或推理中增加了统计上的严格性。我们强调,该软件包作为数据驱动工具,对于评估联盟内部游戏战略或规则变化的可能性特别有用。我们通过对四级足球赛的美元($\textit{give for it down)这一经过反复辩论的策略进行评估,并调查团队是否应该超过当前标准,来证明其效用。