EXTRACTING BEHAVIOURAL MODELS FROM 2010 FIFA WORLD CUP

The FIFA World Cup^TM is the most profitable worldwide event. The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition. This work is focused on the extraction of behavioural patterns for both, players and teams strategies,...

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Bibliographic Details
Published in:Journal of systems science and complexity 2013-02, Vol.26 (1), p.43-61
Main Author: MENENDEZ Hector BELLO-ORGAZ Gema CAMACHO David
Format: Article
Language:English
Subjects:
Complex Systems
Control
FIFA
Mathematics
Mathematics and Statistics
Mathematics of Computing
Operations Research/Decision Theory
Statistics
Systems Theory
世界杯
国际
提取技术
统计数据
自动分析
行为模型
行为模式
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Summary:The FIFA World Cup^TM is the most profitable worldwide event. The FIFA publishes global statistics of this competition which provide global data about the players and teams during the competition. This work is focused on the extraction of behavioural patterns for both, players and teams strategies, through the automated analysis of this dataset. The knowledge and models extracted in this work could be applied to soccer leagues or even it could be oriented to sport betting. However, the main contribution is related to the study on several automatic knowledge extraction techniques, such as clustering methods, and how these techniques can be used to obtain useful behavioural models from a global statistics dataset. The information provided by the clustering algorithms shows similar properties which have been combined to define the models, making the human interpretation of these statistics easier. Finally, the most successful teams strategies have been analysed and compared.
ISSN:1009-6124
1559-7067
DOI:10.1007/s11424-013-2289-9