Identifying Soccer Teams’ Styles of Play: A Scoping and Critical Review

Author:

Plakias Spyridon1,Moustakidis Serafeim2ORCID,Kokkotis Christos3,Tsatalas Themistoklis1ORCID,Papalexi Marina4ORCID,Plakias Dionysios5,Giakas Giannis1,Tsaopoulos Dimitrios6ORCID

Affiliation:

1. Department of Physical Education and Sport Science, University of Thessaly, Karyes, 42100 Trikala, Greece

2. AIDEAS OÜ, Narva mnt 5, 10117 Tallinn, Estonia

3. Department of Physical Education and Sport Science, Democritus University of Thrace, 69100 Komotini, Greece

4. Department of Operations, Technology, Events and Hospitality Management, Manchester Metropolitan University, Oxford Road, Manchester M15 6BH, UK

5. Network Rail, Piccadilly Tower, Manchester M60 7RA, UK

6. Institute for Bio-Economy & Agri-Technology, Center for Research and Technology Hellas, 60361 Volos, Greece

Abstract

Identifying and measuring soccer playing styles is a very important step toward a more effective performance analysis. Exploring the different game styles that a team can adopt to enable a great performance remains under-researched. To address this challenge and identify new directions in future research in the area, this paper conducted a critical review of 40 research articles that met specific criteria. Following the 22-item Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines, this scoping review searched for literature on Google Scholar, Web of Science, and Pub Med databases. The descriptive and thematic analysis found that the objectives of the identified papers can be classified into three main categories (recognition and effectiveness of playing styles and contextual variables that affect them). Critically reviewing the studies, the paper concluded that: (i) factor analysis seems to be the best technique among inductive statistics; (ii) artificial intelligence (AI) opens new horizons in performance analysis, and (iii) there is a need for further research on the effectiveness of different playing styles, as well as on the impact of contextual variables on them.

Publisher

MDPI AG

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,Histology,Rheumatology,Anatomy

Reference80 articles.

1. Carling, C., Williams, A.M., and Reilly, T. (2007). Handbook of Soccer Match Analysis: A Systematic Approach to Improving Performance, Routledge.

2. The effectiveness of direct corners in high level soccer depending on the type and the zone of delivery;Plakias;J. Phys. Educ. Sport,2023

3. Elite football on artificial turf versus natural grass: Movement patterns, technical standards, and player impressions;Andersson;J. Sport. Sci.,2008

4. Is the best defense a good offense? Comparing the brazilian and italian soccer styles;Basevitch;Kinesiology,2013

5. The correlation of the penetrative pass on offensive third with the possession of the ball in high level soccer;Plakias;Gazz. Med. Ital.-Arch. Per Le Sci. Med.,2022

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3