Does the National Hockey League (NHL) have a case of the “Vegas Flu”? - A statistical examination of the Vegas Golden Knights’ inaugural 2017-18 season

S. Pradhan
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Abstract

Following the Vegas Golden Knights’ inaugural 2017-18 season in the National Hockey League (NHL), numerous media outlets warranted the team’s success to a prevailing home ice advantage due to the team’s location in Las Vegas. Given that the city of Las Vegas is synonymous with its casinos and night life, the colloquial phenomenon termed the “Vegas Flu” has been used by the media to headline the Golden Knights’ success. This paper offers a statistical analysis that examines the efficacy of this notion. Specifically, the current study utilizes a binary logistic regression model to predict game outcomes (i.e., wins and losses) and quantifies the “Vegas Flu” phenomenon through the number of visits made by an opposing team. Controlling for a series of variables (e.g., opposing team quality, point in season, game duration, attendance, opposing team location, and opposing time zone), findings from the logistic regression analysis using Firth’s penalized-likelihood correction did not support any significant effect of the “Vegas Flu.” Ultimately, limitations and routes for further research are presented. Subject Classification: (2010) 62-07, 62J02, 62P25, 90B90.
美国国家冰球联盟(NHL)患上了“维加斯流感”吗?——拉斯维加斯黄金骑士队2017-18赛季首个赛季的数据分析
在拉斯维加斯黄金骑士队(Vegas Golden Knights) 2017-18赛季在美国国家冰球联盟(NHL)的首个赛季结束后,许多媒体都在报道该球队的成功,因为该球队位于拉斯维加斯,占据了主场优势。鉴于拉斯维加斯是赌场和夜生活的代名词,媒体利用这种被称为“拉斯维加斯流感”的通俗现象来报道黄金骑士队的成功。本文提供了一个统计分析来检验这一概念的有效性。具体来说,目前的研究利用二元逻辑回归模型来预测比赛结果(即输赢),并通过对手球队的访问量来量化“维加斯流感”现象。控制了一系列变量(例如,对手球队的质量、赛季积分、比赛持续时间、出勤率、对手球队的位置和对手的时区),使用Firth的惩罚可能性校正的逻辑回归分析结果不支持“维加斯流感”的任何显著影响。最后,提出了局限性和进一步研究的方向。学科分类:(2010)62-07,62J02, 62P25, 90B90。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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