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      The Use of Match Statistics that Discriminate Between Successful and Unsuccessful Soccer Teams

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          Abstract

          Three soccer World Cups were analysed with the aim of identifying the match statistics which best discriminated between winning, drawing and losing teams. The analysis was based on 177 matches played during the three most recent World Cup tournaments: Korea/Japan 2002 (59), Germany 2006 (59) and South Africa 2010 (59). Two categories of variables were studied: 1) those related to attacking play: goals scored, total shots, shots on target, shots off target, ball possession, number of off-sides committed, fouls received and corners; and 2) those related to defence: total shots received, shots on target received, shots off target received, off-sides received, fouls committed, corners against, yellow cards and red cards. Discriminant analysis of these matches revealed the following: (a) the variables related to attacking play that best differentiated between winning, drawing and losing teams were total shots, shots on target and ball possession; and (b) the most discriminating variables related to defence were total shots received and shots on target received. These results suggest that winning, drawing and losing national teams may be discriminated from one another on the basis of variables such as ball possession and the effectiveness of their attacking play. This information may be of benefit to both coaches and players, adding to their knowledge about soccer performance indicators and helping to guide the training process.

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          Most cited references41

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          Using Mutivariate Statistics

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            The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data.

            The optimal physical preparation of elite soccer (association football) players has become an indispensable part of the professional game, especially due to the increased physical demands of match-play. The monitoring of players' work rate profiles during competition is now feasible through computer-aided motion analysis. Traditional methods of motion analysis were extremely labour intensive and were largely restricted to university-based research projects. Recent technological developments have meant that sophisticated systems, capable of quickly recording and processing the data of all players' physical contributions throughout an entire match, are now being used in elite club environments. In recognition of the important role that motion analysis now plays as a tool for measuring the physical performance of soccer players, this review critically appraises various motion analysis methods currently employed in elite soccer and explores research conducted using these methods. This review therefore aims to increase the awareness of both practitioners and researchers of the various motion analysis systems available, and identify practical implications of the established body of knowledge, while highlighting areas that require further exploration.
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              Performance in Team Sports: Identifying the Keys to Success in Soccer

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                Author and article information

                Journal
                J Hum Kinet
                J Hum Kinet
                JHK
                Journal of Human Kinetics
                Akademia Wychowania Fizycznego w Katowicach
                1640-5544
                1899-7562
                March 2012
                03 April 2012
                : 31
                : 139-147
                Affiliations
                [1 ]University of the Basque Country (UPV/EHU), Department of Physical Education and Sport, Vitoria–Gasteiz, Spain.
                [2 ]University of Vigo, Faculty of Education and Sports Sciences, Pontevedra, Spain.
                Author notes
                Corresponding author: Julen Castellano, University of the Basque Country (UPV/EHU), Faculty of Physical Activity and Sport Sciences, Departament of Physical Education and Sport, C/ Lasarte 71, 01007 Vitoria–Gasteiz (Spain), E-mail: julen.castellano@ 123456ehu.es

                Authors submitted their contribution of the article to the editorial board.

                Article
                jhk-31-137
                10.2478/v10078-012-0015-7
                3588662
                23487020
                5ad5fde9-a453-435f-96fd-29b3c38df79d
                © Editorial Committee of Journal of Human Kinetics

                This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                : March 2012
                Categories
                Research Article
                Section III – Sports Training

                soccer,match analysis,performance indicators,discriminant analysis

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