Profiling of Team Performances based on the Official Data in SOCCER
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Abstract
Purpose: The performance analysis of sport has utilized to distinguish level of performances in past decade. Especially, the concept of identification on important factors relevant to winning and losing performances was always considered in the field of performance analysis in sports. This study was to compare different performances between groups separated by frequencies of participant to soccer World Cup 2002, 2006, 2010, 2014, and 2018. This study was also intended to identify factor of distinguishing levels of performances instead of regional factor.Method: In this study, the official data from FIFA official website was collected by Microsoft Excel version 16.0 with Visual Basic Application scripts that totally 20 variables relevant to goals and features of performances were considered. After data collection has done, all data were separated by groups basing on frequencies of participant to soccer World Cup. In addition, descriptive statistics and one-way ANOVA test with Turkey’s test as post hoc comparisons were utilized to compare different performances between groups.
Results: As results of this study, there were significant differences found on variables relevant to goals, such as Goals, Shot attempt. Also, there were significant differences found between groups on Passes, Passes completed, Short passes, Foul sustained, % of Passes completed, % of Short passes completed and Ball possession. Those findings indicated different levels of performances between experiences on soccer World Cup that those variables also indicated different features of performances depending on the experiences.
Conclusion: According to results of this study, the experiences on soccer World Cup are important factors to distinguish different levels of performances considering with the official data. The variables relevant to goals and different features of performances in soccer would be utilized to identify characteristics of team performances or nations regarding to the results of this study. Further researches are required that variables relating to the levels of performances distinguished in this study would be a factor of prediction models for identification of outcome of performances in soccer.
[Keywords] Soccer, Performance Analysis of Sport, Levels of Performances, Soccer Analysis, Sport Analytics
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