{"title":"可以利用基于复杂性的分析和多分形来描述精英女子足球比赛的需求","authors":"Nicolas Babault , Gaelyann Rodot , Carole Cometti , Denis César Leite Vieira","doi":"10.1016/j.chaos.2024.115612","DOIUrl":null,"url":null,"abstract":"<div><div>The present study aimed to investigate the variability of the displacements in elite women soccer players during official matches according to the position of the players and to the match progression using non-linear analyses (entropy and multifractal spectrum).</div><div>Sixty-three velocity profiles from global positioning devices of elite professional women soccer players were analyzed. The mean, coefficient of variation, and maximum velocity were calculated during the match using four equal segments. Sample entropy and seven parameters derived from the multifractal detrended fluctuation analysis were also calculated. The players were split into five field playing positions: forwards (<span><span>FW</span></span>), offensive midfielders (<span><span>OM</span></span>), defensive midfielders (<span><span>DM</span></span>), central defenders (<span><span>CD</span></span>), and lateral defenders (LD).</div><div>No significant playing position × period interaction was found for the different parameters analyzed. However, most parameters showed a significant main effect for playing position (<em>p</em> < .01) and period (<em>p</em> < .01). Compared to the other players, FW and OM have the lowest entropy. All players showed a dominance of small velocity fluctuations but FW players showed the widest multifractal spectrum primarily. In contrast, CD had a narrow spectrum and reduced amount of small fluctuations. As the game progressed, mean velocity and entropy significantly decreased. In contrast, the multifractal peak value significantly alongside with changes in asymmetry.</div><div>From the present results, velocity profiles during elite women's soccer games depicted multifractal features sensitive to player position and match segment, which can help to understand the dynamics and variability of players' responses during a match.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elite women's soccer match demand can be described using complexity-based analyses and multifractals\",\"authors\":\"Nicolas Babault , Gaelyann Rodot , Carole Cometti , Denis César Leite Vieira\",\"doi\":\"10.1016/j.chaos.2024.115612\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The present study aimed to investigate the variability of the displacements in elite women soccer players during official matches according to the position of the players and to the match progression using non-linear analyses (entropy and multifractal spectrum).</div><div>Sixty-three velocity profiles from global positioning devices of elite professional women soccer players were analyzed. The mean, coefficient of variation, and maximum velocity were calculated during the match using four equal segments. Sample entropy and seven parameters derived from the multifractal detrended fluctuation analysis were also calculated. The players were split into five field playing positions: forwards (<span><span>FW</span></span>), offensive midfielders (<span><span>OM</span></span>), defensive midfielders (<span><span>DM</span></span>), central defenders (<span><span>CD</span></span>), and lateral defenders (LD).</div><div>No significant playing position × period interaction was found for the different parameters analyzed. However, most parameters showed a significant main effect for playing position (<em>p</em> < .01) and period (<em>p</em> < .01). Compared to the other players, FW and OM have the lowest entropy. All players showed a dominance of small velocity fluctuations but FW players showed the widest multifractal spectrum primarily. In contrast, CD had a narrow spectrum and reduced amount of small fluctuations. As the game progressed, mean velocity and entropy significantly decreased. In contrast, the multifractal peak value significantly alongside with changes in asymmetry.</div><div>From the present results, velocity profiles during elite women's soccer games depicted multifractal features sensitive to player position and match segment, which can help to understand the dynamics and variability of players' responses during a match.</div></div>\",\"PeriodicalId\":9764,\"journal\":{\"name\":\"Chaos Solitons & Fractals\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chaos Solitons & Fractals\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0960077924011640\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924011640","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
摘要
本研究旨在利用非线性分析法(熵和多分形谱),根据球员的位置和比赛进程,研究精英女子足球运动员在正式比赛中的位移变异性。通过四等分计算出了比赛期间的平均速度、变异系数和最大速度。此外,还计算了样本熵和从多分形去趋势波动分析中得出的七个参数。球员被分为五个场上位置:前锋(FW)、进攻型中场(OM)、防守型中场(DM)、中卫(CD)和边后卫(LD)。然而,大多数参数都显示出位置(p <.01)和时期(p <.01)的显著主效应。与其他球员相比,FW 和 OM 的熵最小。所有演奏者都以小的速度波动为主,但 FW 演奏者的多分形谱最宽。相比之下,CD 的频谱较窄,小波动的数量较少。随着比赛的进行,平均速度和熵明显下降。本研究结果表明,精英女子足球比赛中的速度剖面呈现出对球员位置和比赛段敏感的多分形特征,这有助于了解球员在比赛中的反应动态和变化。
Elite women's soccer match demand can be described using complexity-based analyses and multifractals
The present study aimed to investigate the variability of the displacements in elite women soccer players during official matches according to the position of the players and to the match progression using non-linear analyses (entropy and multifractal spectrum).
Sixty-three velocity profiles from global positioning devices of elite professional women soccer players were analyzed. The mean, coefficient of variation, and maximum velocity were calculated during the match using four equal segments. Sample entropy and seven parameters derived from the multifractal detrended fluctuation analysis were also calculated. The players were split into five field playing positions: forwards (FW), offensive midfielders (OM), defensive midfielders (DM), central defenders (CD), and lateral defenders (LD).
No significant playing position × period interaction was found for the different parameters analyzed. However, most parameters showed a significant main effect for playing position (p < .01) and period (p < .01). Compared to the other players, FW and OM have the lowest entropy. All players showed a dominance of small velocity fluctuations but FW players showed the widest multifractal spectrum primarily. In contrast, CD had a narrow spectrum and reduced amount of small fluctuations. As the game progressed, mean velocity and entropy significantly decreased. In contrast, the multifractal peak value significantly alongside with changes in asymmetry.
From the present results, velocity profiles during elite women's soccer games depicted multifractal features sensitive to player position and match segment, which can help to understand the dynamics and variability of players' responses during a match.
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.