压力来了:用球员跟踪数据分析美式足球中的防守传球

Quang Nguyen, Ronald Yurko, Gregory J. Matthews
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摘要

在美式足球中,传球冲刺是防守队试图扰乱进攻,阻止四分卫(QB)完成传球。现有的评估过路性能的指标要么是离散时间量,要么是基于主观判断。利用球员跟踪数据,我们提出了STRAIN,这是一个新的指标,用于评估国家橄榄球联盟(NFL)在连续时间内的比赛水平上的传球运动员。受到材料科学中应变率概念的启发,strain是一种简单且可解释的测量足球中防守压力的方法。它是一个直接观察到的统计数据,作为两个特征的函数:传球者和四分卫之间的距离,以及这个距离减少的速度。随着时间的推移,我们的度量具有很大的压力和稳定性的可预测性。我们还为STRAIN拟合了一个多层模型,以了解每个传球运动员在比赛水平上对防守压力的贡献。我们将我们的方法应用于NFL数据和2021年常规赛前八周的结果。特别是,我们提供了不同防守位置和比赛结果的STRAIN比较,以及根据我们的指标对NFL最佳传球手的排名。
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Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data
In American football, a pass rush is an attempt by the defensive team to disrupt the offense and prevent the quarterback (QB) from completing a pass. Existing metrics for assessing pass rush performance are either discrete-time quantities or based on subjective judgment. Using player tracking data, we propose STRAIN, a novel metric for evaluating pass rushers in the National Football League (NFL) at the continuous-time within-play level. Inspired by the concept of strain rate in materials science, STRAIN is a simple and interpretable means for measuring defensive pressure in football. It is a directly-observed statistic as a function of two features: the distance between the pass rusher and QB, and the rate at which this distance is being reduced. Our metric possesses great predictability of pressure and stability over time. We also fit a multilevel model for STRAIN to understand the defensive pressure contribution of every pass rusher at the play-level. We apply our approach to NFL data and present results for the first eight weeks of the 2021 regular season. In particular, we provide comparisons of STRAIN for different defensive positions and play outcomes, and rankings of the NFL's best pass rushers according to our metric.
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