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Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study
Currently, there are still few studies on the tactical and contextual criteria that determine offensive success in women’s soccer. The objectives of this study were to discover contextual and tactical criteria that show an association with success in elite women’s soccer and to establish a multivari...
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Published in: | Sustainability 2021-06, Vol.13 (11), p.6379 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Currently, there are still few studies on the tactical and contextual criteria that determine offensive success in women’s soccer. The objectives of this study were to discover contextual and tactical criteria that show an association with success in elite women’s soccer and to establish a multivariate predictive model for the offensive phase. For this, 2323 ball possessions were analyzed in FIFA Women’s World Cup 2019 via direct observation. In addition, eight semi-structured interviews were conducted with women’s soccer coaches and players. For direct observation, a bivariate analysis between the analysed criteria and possession’s outcome was suggested. Additionally, a multivariate predictive analysis was proposed via a decision tree method. To analyze the interviews, a sequential analysis of delays and polar coordinates analysis were carried out. It was established a multi-variant model of offensive success based on possession zone (middle offensive), initial offensive intention (progress) and start zone (preoffensive or offensive) criteria. The probability of offensive success was 75.2% interactively between those criteria. In addition, the analysis of the interviews allowed us to conclude that criteria related to technical–tactical performance, decision-making and physical capacities of the players will be decisive in increasing the probabilities of success. |
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ISSN: | 2071-1050 2071-1050 |
DOI: | 10.3390/su13116379 |