This article analyses the offensive phase of the national team than won the 2010 UEFA Championship. More specifically, the observational sampling includes all plays in which the Spanish national futsal team managed to "shoot" in the competition in question. This data was obtained by adapting an observational and recording tool typically used for football to the technical specifications of futsal; the SOF-CODER (Jonsson et al., 2006). Two types of analysis have been performed. One statistical analysis using the SPSS programme, version 15.0, the most relevant results from which refer to the significant differences found on linking: the zone from which the shot is made and the type of shot (χ² = 55.821, P = 0.006); and the contact surface used and the type of shot (χ² = 30.293, P = 0.017). And another, using the Theme programme, version 5.0, through which regular behaviour structures (temporal patterns) have been detected within the plays that include shooting. The temporal patterns obtained--in addition to elaborating on the relationship between the area from which the shot is made, the contact surface used and the type of shot--enable a tactical interpretation of the technical actions that support the development of the offensive phase of futsal.
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http://dx.doi.org/10.1080/02640414.2013.803584 | DOI Listing |
PeerJ
March 2024
Trinity College Dublin, Dublin, Ireland.
Introduction: Major sporting tournaments may be associated with increased birth rates 9 months afterwards, possibly due to celebratory sex. The influence of major sporting tournaments on birth patterns remains to be fully explored.
Methods: Studies that examined the relationship between such events and altered birth metrics (number of births and/or birth sex ratio (male/total live births)) 9(±1) months later were sought in PubMed and Scopus and reported standard guidelines.
Front Psychol
March 2022
Facultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.
J Hum Kinet
July 2021
Yildiz Technical University, Department of Statistics, Istanbul, Turkey.
The aim of this study was to analyse the win, draw, and loss outcomes of soccer matches with situational variables and performance indicators. Data from group stage matches spanning the ten years between the 2010/2011 and 2019/2020 seasons in the European Champions League, were used. One-way analysis of variance (ANOVA) and Tukey HSD (honestly significant difference) tests indicated performance indicators which affected the outcome of matches.
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June 2020
Institute of Training and Computer Science in Sport, German Sport University Cologne, Cologne, Germany.
This study aimed to identify the situational and positional effects on the variation of players' technical performance in the UEFA Champions League from a long-term perspective. The technical performance of full match observations from outfield players in the UEFA Champions League from season 2009/2010 to 2016/2017 was analysed. The coefficient of variation of each variable of each player in each season was calculated to evaluate the match-to-match variation of technical performance.
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June 2020
Facultad de Ciencias de la Actividad Física y del Deporte (INEF), Universidad Politécnica de Madrid, Madrid, Spain.
The current study aimed to investigate the evolutionary trends of players' technical performances in the UEFA Champions League. Match statistics of 18 technical performance indicators from 1,125 matches (2,489 players, 16,247 full match observations) from the group and knockout stages of the UEFA Champions League (season 2009/2010 to 2017/2018) were analysed. Separate Poisson regression models were run in the generalised mixed linear modelling to compare the differences in technical performances among seasons, and the autocorrelation function was used to identify the correlations within technical variables.
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