使用NFLSimulatoR在NFL中进行基于仿真的决策
Simulation-Based Decision Making in the NFL using NFLSimulatoR
摘要：
在本文中，我们介绍了一个R软件包，用于模拟播放和驱动器使用播放的数据，从国家足球联盟。模拟是通过从以前的足球赛季中逐场比赛的数据进行采样而产生的。采样过程为检查模拟所产生的任何决定或推断增加了统计上的严格性。我们强调，该软件包是特别有用的数据驱动的工具，用于评估潜在的游戏中的策略或规则的变化在联赛中。我们通过评估经常争论的$\textit{going for it}$在第四次进攻时的策略，并调查球队是否应该通过超过当前标准的传球，来证明它的实用性。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
