7 Matching Annotations
- Mar 2019
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the univariate analysis (Table 2) showed that there are ten variables with statistically significant differences (total shots, shots on goal, effectiveness, assists, crosses, crosses against, ball possession, and red cards, and venue). On the other hand, when applying a multivariate analysis (Table 3), the num-ber of statistically significant variables was reduced to six (total shots, shots on goal, crosses, crosses against, ball possession, and venue).
a very good example of the difference between two methods
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Table 1.
this table is very helpful for discriminating game related statistics used in the study
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total shots, shots on goal, effectiveness, assists, crosses, offsides committed and received, fouls commit-ted and received, corners, ball possession, crosses against, corners against, yellow and red cards, and venu
the author uses enough game related statistics to apply the study
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all 380 games correspond-ing to the 2008-2009 season of the Spanish league have been analyzed
i think applying the method on 380 games were more than fit for the study also using it on only one league on only one season makes the study more accurate
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The main aim of match analysis is to identify strengths of one’s own team, which can then be further developed, and its weaknesses, which suggest areas for improvement.
the author gives a good purpose for the study
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The results from the present study indicate that winning teams made more shots and shots on goal than losing and drawing teams. Moreover, winning teams had a higher effectiveness than losing and drawing teams
the results that the study gives are just comment sense
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www.unesco.org www.unesco.org
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The future scenarios of the political, social, cultural
alo test
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