How do the football teams play in LaLiga? Analysis and comparison of playing styles according to the outcome

足球 正交旋转 风格(视觉艺术) 样品(材料) 心理学 联盟 排名(信息检索) 结果(博弈论) 应用心理学 社会心理学 计算机科学 统计 描述性统计 政治学 数学 地理 化学 物理 克朗巴赫阿尔法 考古 数理经济学 色谱法 天文 机器学习 法学
作者
Adrián Martín-Castellanos,Marina Rueda Flores,Diego Muriarte Solana,Roberto López-Del Campo,Fabio Nevado Garrosa,Daniel Mon‐López
出处
期刊:International Journal of Performance Analysis in Sport [Informa]
卷期号:24 (1): 18-30 被引量:9
标识
DOI:10.1080/24748668.2023.2262813
摘要

ABSTRACTThe behaviour adopted by football teams during matches is defined as their playing style and is a key area for performance analysis. This study aimed to identify the playing styles of LaLiga teams considering match outcome and overall comparison, during a season. The sample was collected from the 2020/2021 LaLiga, consisting of 380 matches, with a total of 760 records. In this research, technical (12), tactical (six) and physical (seven) variables were selected, as well as three variables related to goalkeeper performance, totalling a count of 28 performance indicators. A principal component analysis with orthogonal Varimax rotation was performed. As a result, the models explained more than 76% of the total variance, identifying six main factors or playing styles. These styles were recognised as build-up, high pressing, high-intensity play, direct play, use of crosses and high distance in the opposition half. Compared to previous research conducted in other leagues, five of the six styles could be identified in advance, but not the high-distance style, which only occurred in draws and wins. The use of crosses was identified for victories or defeats. Coaches, analysts and sport scientists could take these playing styles into account for analysis and match preparation.KEYWORDS: Soccerprincipal component analysisperformance analysisSpanish leagueanalyst AcknowledgementAs part of the doctoral thesis of the first author, we would like to thank LaLiga for providing the data necessary to carry out the study.Disclosure statementNo potential conflict of interest was reported by the author(s).Supplemental dataSupplemental data for this article can be accessed online at https://doi.org/10.1080/24748668.2023.2262813.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研韭菜完成签到 ,获得积分10
1秒前
3秒前
秋秋完成签到,获得积分10
4秒前
伍六七完成签到,获得积分10
6秒前
英姑应助科研通管家采纳,获得10
6秒前
风清扬应助科研通管家采纳,获得30
6秒前
Xiaoxiao应助科研通管家采纳,获得10
6秒前
科目三应助科研通管家采纳,获得10
6秒前
蒸馏水完成签到,获得积分10
14秒前
15秒前
量子星尘发布了新的文献求助10
17秒前
CYQ完成签到 ,获得积分10
18秒前
温梦花雨完成签到 ,获得积分10
21秒前
害羞的雁易完成签到 ,获得积分10
22秒前
23秒前
小苏发布了新的文献求助10
27秒前
31秒前
柳叶刀Z完成签到 ,获得积分10
33秒前
macleod发布了新的文献求助10
35秒前
风笛完成签到 ,获得积分10
39秒前
39秒前
LY0430完成签到 ,获得积分10
40秒前
42秒前
gk完成签到,获得积分10
44秒前
久晓完成签到 ,获得积分10
45秒前
祁乾完成签到 ,获得积分10
47秒前
风不尽,树不静完成签到 ,获得积分10
48秒前
科研通AI6应助macleod采纳,获得10
48秒前
耍酷鼠标完成签到 ,获得积分0
53秒前
郭磊完成签到 ,获得积分10
53秒前
jeff完成签到,获得积分10
56秒前
量子星尘发布了新的文献求助10
56秒前
吴天春完成签到,获得积分10
59秒前
影子完成签到,获得积分10
1分钟前
cym完成签到,获得积分10
1分钟前
南城雨落完成签到,获得积分10
1分钟前
自由的雅旋完成签到 ,获得积分10
1分钟前
jeffrey完成签到,获得积分10
1分钟前
yyy完成签到 ,获得积分10
1分钟前
乂氼完成签到 ,获得积分10
1分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
人脑智能与人工智能 1000
King Tyrant 720
Silicon in Organic, Organometallic, and Polymer Chemistry 500
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5599922
求助须知:如何正确求助?哪些是违规求助? 4685708
关于积分的说明 14838825
捐赠科研通 4673854
什么是DOI,文献DOI怎么找? 2538431
邀请新用户注册赠送积分活动 1505597
关于科研通互助平台的介绍 1471067