Offside Control: A pitch control parameter to evaluate the offside performance of soccer teams

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Álvaro Novillo , R. López del Campo , R. Resta Serra , Javier M. Buldú
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引用次数: 0

Abstract

We propose a new methodology for quantifying the effectiveness of the offside strategy of teams and players using a specific pitch control model. These models determine the probability of players controlling the ball based on their position, speed, and time to reach a desired location. Our study focuses on defining a new performance parameter, the Offside Control (OC), which quantifies the amount of threat posed by the attacking team or player beyond the offside line. OC computes the contribution to pitch control after the offside line by employing tracking datasets as input. Our analysis encompasses 100 matches of the Spanish National league in 2019 and scrutinizes the performance of 442 players. Importantly, we analyze the amount of OC that is effectively created, i.e., with the attacking player in a legal position and investigate how forward players move around the offside line. Our methodology offers a valuable instrument for the analysis of a team’s offside strategy and players’ distinct playing styles and can aid coaches in making informed decisions based on tracking data.
越位控制:一个用来评价足球队越位表现的球场控制参数
我们提出了一种新的方法来量化越位策略的有效性的球队和球员使用特定的球场控制模型。这些模型根据球员的位置、速度和到达期望位置的时间来确定球员控制球的概率。我们的研究重点是定义一个新的性能参数,即越位控制(OC),它量化了进攻球队或球员在越位线之外所构成的威胁程度。OC通过使用跟踪数据集作为输入来计算越位线后对pitch control的贡献。我们分析了2019年西班牙国家联赛的100场比赛,并对442名球员的表现进行了分析。重要的是,我们分析了有效创造的OC量,即进攻球员处于合法位置,并调查前锋如何在越位线上移动。我们的方法为分析球队的越位策略和球员独特的比赛风格提供了一个有价值的工具,可以帮助教练根据跟踪数据做出明智的决定。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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