이 연구는 2002년 한ㆍ일 축구 월드컵 대회와 2006년 독일 축구 월드컵 대회에서 나타난 지역별 특성, 승ㆍ패 요인, 그리고. FIFA의 세계 랭킹을 토대로 경기력을 분석하고자 하였다. 이 연구에서는 2002년과 2006년 축구 월드컵 대회에 출전한 본선 진출국이 경기한 경기를 대상으로 하였으며, 연구의 대상이 된 경기 수는 256경기였다. 자료 수집을 위해 FIFA에서 제공하는 Media Channel의 공식자료를 사용하였으며, 2002년과 2006년에 공통적으로 사용된 49개 변인만을 선별하여 사용하였다. 수집된 자료는 MS Excel을 통해 정리되었으며, 통계분석을 위해 SPSS 14.0을 사용하였다. 자료처리는 비모수통계 검증법 중, Kruskal-Wallis H 검정, Wilcoxon Signed Ranks 검정, 그리고 Mann-Whitney U 검정법을 사용하였으며, Kruskal-Wallis H 검정의 사후검증법으로 Jonchheere-Terpstra 검정을 사용하였다. 모든 검정에서 유의수준 .05미만일 경우에만 유의한 차이가 있는 것으로 판단하였다. 이 연구를 통해 나타난 결과는 첫째, 대륙간 비교에서 2-4개의 변인에서 대륙간 유의한 차이(p<.05)가 있었으며, 둘째, 승ㆍ패 요인에 따른 비교에서는 가장 많은 변인에서 유의한 차이(p<.05)를 나타낸 경우는 이긴 경우와 진 경우의 비교였다. 셋째, 상위ㆍ하위 랭킹의 비교에서는 패스와 슈팅에 연관된 변인에서 유의한 차이(p<.05)를 나타냈다.
This study was to investigate the methods for team performance analysis in football based on the 2002 and 2006 football worldcup data. Accordingly, the valid performance indicators had to be selected in the study that the official data from the Media Channel was gathered into the MS Excel package. Three aspects for the comparisons were chosen such as the differences by regional features, winning/losing factors and higher/lower ranks. Totally, 256 games on the 2002, 2006 football worldcup were selected and 49 variables were used in this study. The data gathered was determined with descriptive statistics and the nonparametric statistics such as Kruskal-Wallis H tests, Wilcoxon Signed Ranks tests and Mann-Whitney U tests. Additionally, the Jonckheere-Terpstra test was used for the post-hoc comparisons of the Kruskal-Wallis H tests. The results found that there were significant differences of regional features on 2-4 variables such as Short-Passes, Total goals and Offsides(p<.05). Especially, the comparisons between Asia/Oceania and others shown that there was significant difference of % shots to goals(p<.05). Within the comparisons between winning, losing and draw situation, there were a couple of significant differences found that most variables relevant to the goals were significantly different(p<.05). Finally, the variables relating to passing and shots were significantly different(p<.05) that it would indicate the differs of team performance features.
This study was to investigate the methods for team performance analysis in football based on the 2002 and 2006 football worldcup data. Accordingly, the valid performance indicators had to be selected in the study that the official data from the Media Channel was gathered into the MS Excel package. Three aspects for the comparisons were chosen such as the differences by regional features, winning/losing factors and higher/lower ranks. Totally, 256 games on the 2002, 2006 football worldcup were selected and 49 variables were used in this study. The data gathered was determined with descriptive statistics and the nonparametric statistics such as Kruskal-Wallis H tests, Wilcoxon Signed Ranks tests and Mann-Whitney U tests. Additionally, the Jonckheere-Terpstra test was used for the post-hoc comparisons of the Kruskal-Wallis H tests. The results found that there were significant differences of regional features on 2-4 variables such as Short-Passes, Total goals and Offsides(p<.05). Especially, the comparisons between Asia/Oceania and others shown that there was significant difference of % shots to goals(p<.05). Within the comparisons between winning, losing and draw situation, there were a couple of significant differences found that most variables relevant to the goals were significantly different(p<.05). Finally, the variables relating to passing and shots were significantly different(p<.05) that it would indicate the differs of team performance features.
