Literature DB >> 26508419

Tactical metrics that discriminate winning, drawing and losing teams in UEFA Euro 2012®.

Christian Winter1, Mark Pfeiffer1.   

Abstract

The objectives of this article are twofold: first, an innovative approach to notational analysis in football is outlined. By considering the important theoretical requirements for the analysis of sports games (like the interaction between two parties, the procedural sequence of action or the significance of tactical behaviour) the meaning of the introduced parameters, called tactical metrics, is illustrated. In a second step, the validity of this approach is tested using matches of the Union of European Football Associations (UEFA) Euro 2012® to investigate a connection between these metrics and success. The results show that 11 tactical metrics model tactical behaviour in 4 different dimensions (game speed, transition play after ball recovery, transition play after ball loss and offence efficiency (OE)). Discriminant analysis based on the factor values leads to a correct classification of 64.8% identifying winners, losers and drawers. This successful discrimination reveals a connection between match success and the presented metrics. Especially, the transition play after losing the ball and the OE seem to be factors connected directly with the result of a match, since those were important values for a successful discrimination. Furthermore, the procedural description of tactical behaviour provides the opportunity to conduct meaningful recommendations for the training and coaching process.

Entities:  

Keywords:  Euro 2012®; Football; notational analysis; performance analysis; tactical metrics

Mesh:

Year:  2015        PMID: 26508419     DOI: 10.1080/02640414.2015.1099714

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  9 in total

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2.  Physical Demands of Ball Possession Games in Relation to the Most Demanding Passages of a Competitive Match.

Authors:  Andrés Martín-García; Julen Castellano; Alberto Méndez Villanueva; Antonio Gómez-Díaz; Francesc Cos; David Casamichana
Journal:  J Sports Sci Med       Date:  2020-02-24       Impact factor: 2.988

3.  Detection and Selection of Behavioral Patterns Using Theme: A Concrete Example in Grassroots Soccer.

Authors:  Mario Amatria; Daniel Lapresa; Javier Arana; M Teresa Anguera; Gudberg K Jonsson
Journal:  Sports (Basel)       Date:  2017-03-13

4.  The Reliability of Technical and Tactical Tagging Analysis Conducted by a Semi-Automatic VTS in Soccer.

Authors:  Marco Beato; Mikael Jamil; Gavin Devereux
Journal:  J Hum Kinet       Date:  2018-06-13       Impact factor: 2.193

5.  Effect of Match Location, Team Ranking, Match Status and Tactical Dimensions on the Offensive Performance in Spanish 'La Liga' Soccer Matches.

Authors:  Joaquín González-Rodenas; Rodrigo Aranda-Malavés; Andres Tudela-Desantes; Ferran Calabuig Moreno; Claudio A Casal; Rafael Aranda
Journal:  Front Psychol       Date:  2019-09-12

6.  A longitudinal analysis of technical-tactical and physical performance of the teams in the Spanish LaLiga Santander: An eight-season study.

Authors:  Ibai Errekagorri; Julen Castellano; Ibon Echeazarra; Roberto López-Del Campo; Ricardo Resta
Journal:  Biol Sport       Date:  2021-04-21       Impact factor: 2.806

7.  Combined effect of game position and body size on network-based centrality measures performed by young soccer players in small-sided games.

Authors:  Paulo Henrique Borges; Julio Cesar da Costa; Luiz Fernando Ramos-Silva; Gibson Moreira Praça; Enio Ricardo Vaz Ronque
Journal:  Front Psychol       Date:  2022-08-22

8.  Spatial movement pattern recognition in soccer based on relative player movements.

Authors:  Jasper Beernaerts; Bernard De Baets; Matthieu Lenoir; Nico Van de Weghe
Journal:  PLoS One       Date:  2020-01-16       Impact factor: 3.240

9.  Multivariate Exploratory Comparative Analysis of LaLiga Teams: Principal Component Analysis.

Authors:  Claudio A Casal; José L Losada; Daniel Barreira; Rubén Maneiro
Journal:  Int J Environ Res Public Health       Date:  2021-03-19       Impact factor: 3.390

  9 in total

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