冰球特别小组的空间作用

IF 1.1 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS
Jonathan Arsenault, Margaret Cunniff, Eric Tulsky, James Richard Forbes
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引用次数: 0

摘要

在决定冰球比赛结果的过程中,特别小组(即强力进攻和罚球)的情况起着非常重要的作用。然而,用于描述特别小组战术的定量方法却很有限。这项研究的重点是区内特殊球队控球时的球队结构和球员部署。利用来自美国曲棍球联盟(NHL)的球员和冰球跟踪数据,开发了一个框架,用于描述球员在 5 对 4 强赛和 4 对 5 点球大战中的定位。更具体地说,使用非负矩阵因式分解法直接从球员追踪数据中定义球员角色,并通过解决线性分配问题,在每一帧追踪数据中为每个球员分配一个独特的角色。通过对一帧中占据的角色进行组合,自然会形成球队阵型。按帧变化的角色允许对团队结构进行精细分析。基于角色的表示法的这一特性被用于利用潜狄利克特分配(一种主题建模技术)将类似的控球权组合在一起。此外,还引入了在整个控球过程中保持不变的分配概念。分配提供了一种更稳定的球员定位衡量标准,在评估较长时间内的部署情况时可能更为可取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial roles in hockey special teams
Special teams (i.e. power play and penalty kill) situations play an outsized role in determining the outcome of ice hockey games. Yet, quantitative methods for characterizing special teams tactics are limited. This work focuses on team structure and player deployment during in-zone special teams possessions. Leveraging player and puck tracking data from the National Hockey League (NHL), a framework is developed for describing player positioning during 5-on-4 power play and 4-on-5 penalty kill possessions. More specifically, player roles are defined directly from the player tracking data using non-negative matrix factorization, and every player is allocated a unique role at every frame of tracking data by solving a linear assignment problem. Team formations naturally arise through the combination of roles occupied in a frame. Roles that vary on a per-frame basis allow for a fine-grained analysis of team structure. This property of the roles-based representation is used to group together similar power play possessions using latent Dirichlet allocation, a topic modelling technique. The concept of assignments, which remain constant over an entire possession, is also introduced. Assignments provide a more stable measure of player positioning, which may be preferable when assessing deployment over longer periods of time.
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来源期刊
Journal of Quantitative Analysis in Sports
Journal of Quantitative Analysis in Sports SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
2.00
自引率
12.50%
发文量
15
期刊介绍: The Journal of Quantitative Analysis in Sports (JQAS), an official journal of the American Statistical Association, publishes timely, high-quality peer-reviewed research on the quantitative aspects of professional and amateur sports, including collegiate and Olympic competition. The scope of application reflects the increasing demand for novel methods to analyze and understand data in the growing field of sports analytics. Articles come from a wide variety of sports and diverse perspectives, and address topics such as game outcome models, measurement and evaluation of player performance, tournament structure, analysis of rules and adjudication, within-game strategy, analysis of sporting technologies, and player and team ranking methods. JQAS seeks to publish manuscripts that demonstrate original ways of approaching problems, develop cutting edge methods, and apply innovative thinking to solve difficult challenges in sports contexts. JQAS brings together researchers from various disciplines, including statistics, operations research, machine learning, scientific computing, econometrics, and sports management.
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