Interchangeability of player movement variables from different athlete tracking systems in professional soccer

IF 2.8 2区 医学 Q1 SPORT SCIENCES Science and Medicine in Football Pub Date : 2021-02-19 DOI:10.1080/24733938.2021.1879393
Susanne Ellens, Daniel Hodges, Sean McCullagh, J. Malone, M. Varley
{"title":"Interchangeability of player movement variables from different athlete tracking systems in professional soccer","authors":"Susanne Ellens, Daniel Hodges, Sean McCullagh, J. Malone, M. Varley","doi":"10.1080/24733938.2021.1879393","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study assessed the interchangeability between 10-Hz multi-GNSS GPS devices (Vector®) and two optical tracking systems (TRACAB® and Second Spectrum®). The agreement between data from the optical tracking systems when processed with manufacturer and GPS-filtered software was also assessed. Thirty players competing in the English Premier League were monitored using three different tracking systems across five matches. To determine the interchangeability between systems, player movement variables including, total distance, high-speed running distance (19.8–25.2 km·h−1), sprinting distance (>25.2 km·h−1), efforts >19.8 km·h−1 and maximal speed were compared. Equations were formed using linear regression and linear mixed-effects models to allow interchangeability of player movement variables between systems. Over half of the variance of most interchangeability equations were explained and associated with very strong positive correlations (r > 0.72). Small to huge differences were found between systems for most player movement variables. Data of optical tracking systems had decreased values in speed variables >19.8 km·h−1 when processed through GPS software. This study provides equations for practitioners to interchange player movement variables between TRACAB, Second Spectrum and Vector GPS systems with reduced error. This will enable practitioners to combine and share data captured with different tracking systems to analyse and improve their training.","PeriodicalId":48512,"journal":{"name":"Science and Medicine in Football","volume":"6 1","pages":"1 - 6"},"PeriodicalIF":2.8000,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/24733938.2021.1879393","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Medicine in Football","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/24733938.2021.1879393","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SPORT SCIENCES","Score":null,"Total":0}
引用次数: 9

Abstract

ABSTRACT This study assessed the interchangeability between 10-Hz multi-GNSS GPS devices (Vector®) and two optical tracking systems (TRACAB® and Second Spectrum®). The agreement between data from the optical tracking systems when processed with manufacturer and GPS-filtered software was also assessed. Thirty players competing in the English Premier League were monitored using three different tracking systems across five matches. To determine the interchangeability between systems, player movement variables including, total distance, high-speed running distance (19.8–25.2 km·h−1), sprinting distance (>25.2 km·h−1), efforts >19.8 km·h−1 and maximal speed were compared. Equations were formed using linear regression and linear mixed-effects models to allow interchangeability of player movement variables between systems. Over half of the variance of most interchangeability equations were explained and associated with very strong positive correlations (r > 0.72). Small to huge differences were found between systems for most player movement variables. Data of optical tracking systems had decreased values in speed variables >19.8 km·h−1 when processed through GPS software. This study provides equations for practitioners to interchange player movement variables between TRACAB, Second Spectrum and Vector GPS systems with reduced error. This will enable practitioners to combine and share data captured with different tracking systems to analyse and improve their training.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
职业足球中不同运动员跟踪系统中运动员运动变量的互换性
本研究评估了10 hz多gnss GPS设备(Vector®)与两个光学跟踪系统(TRACAB®和Second Spectrum®)之间的互换性。还评估了光学跟踪系统数据与制造商处理后的gps滤波软件之间的一致性。30名参加英超联赛的球员在五场比赛中使用三种不同的跟踪系统进行了监测。为了确定系统之间的互换性,比较了运动员的运动变量,包括总距离、高速奔跑距离(19.8 - 25.2 km·h−1)、冲刺距离(>25.2 km·h−1)、努力程度>19.8 km·h−1和最大速度。使用线性回归和线性混合效应模型形成方程,以允许系统之间玩家移动变量的互换性。大多数互换性方程的一半以上的方差都得到了解释,并与非常强的正相关(r > 0.72)。对于大多数玩家移动变量,系统之间存在着或大或小的差异。光学跟踪系统的数据经过GPS软件处理后,速度变量>下降了19.8 km·h−1。本研究为从业者在TRACAB、Second Spectrum和Vector GPS系统之间交换球员运动变量提供了方程式,减少了误差。这将使从业人员能够结合和共享与不同跟踪系统捕获的数据,以分析和改进他们的培训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.70
自引率
11.80%
发文量
69
期刊最新文献
Measures of (injury and illness) occurrence: a primer on epidemiological concepts and terminology for authors. The maturity status but not the relative age influences elite young football players’ physical performance Inter-methodological quantification of the target change for performance test outcomes relevant to elite female soccer players Author reply to Weaving et al.: comment on: ‘A contemporary multi-modal mechanical approach to training monitoring in elite professional soccer: a mathematical problem?’ The influence of relative playing area and player numerical imbalance on physical and perceptual demands in soccer small-sided game formats
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1