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군집화 알고리즘을 활용한 세계유도 기술 유형과 경기력의 연관성 분석

Association Between World Judo Technical Type and Performance Analysis by Clustering Algorithm

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초록

이 연구는 세계 유도 선수들의 기술 유형 및 특성에 따른 군집화의 가능성을 확인하고, 도출된 군집의 기술 편향에 의한 특성이 승률과 기술시간에 미치는 영향을 분석해 상대적 특성을 파악하는 것이 목적이다. 이 목적을 위하여 최근 5년간 국제유도연맹 주관 5개의 메이저대회에 출전한 선수 총 1,178명(남성 698명, 여성 480명)의 선수를 대상으로 국제유도연맹에서 제공하는 공식 경기 기록을 손기술, 허리 기술, 다리 기술, 누우며메치기 기술, 굳히기 기술로 구분해서 수집하였고, 한판 또는 절반으로 이어진 총 23,367건의 득점 사례수를 분석에 활용했다. 분석 방법은 계층적, 비계층적 군집분석을 통합 활용하였고, 군집별 변수의 차이는 일원분산분석을 사용하여 군집별 경기력 변수 결과를 도출하였다. 세계 유도 공식기록에서 나타난 기술 유형의 군집화를 위해 5가지 종속변수의 적중률을 알아본 결과, 기술 유형의 사용 비율에 따른 선수별 군집화가 가능하게 나타났으며(적중률: 97.8%), 군집의 기술 편향도가 높을수록 승률도 높아지는 경향성을 확인하였다. 손기술 비율이 높은 선수의 경우 장기전 양상을 뛰었는데, 특히 같은 손기술 유형의 선수와 상대할 때 가장 극대화되었으며, 누우며메치기 기술 유형 선수의 경우 굳히기 기술 비율이 높은 선수와의 경기에서 상대적으로 단기전 양상을 보였다. 이를 바탕으로 기술 유형과 상대성을 고려한 다양하고 체계적인 전략 수립이 필요하며, 세부 기술 분류를 적용한 후속 연구가 필요하다고 판단된다.

Abstract

The purpose of this study is to check whether clustering is possible according to the type and characteristics of the world judo players, and to analyze the influence of the technical bias of clusters on the winning rate and technical time to identify the relative characteristics. For this purpose, a total of 1,178 athletes (698 males and 480 females) participated in five major competitions organized by the International Judo Federation over the past five years were selected as the final candidates for this study. The official competition records provided by the International Judo Federation were collected by dividing them into arm, hip, leg, sacrifice, and grappling techniques, and a total of 23,367 scoring cases, which were either one round or half, were used in the analysis. Hierarchical and non-hierarchical cluster analysis was integrated into the analysis method, and the difference in cluster-specific variables was derived using one-way ANOVA. In order to cluster the types of technology shown in the official world judo records, the five parameters of hit (97.8%) were found to be possible for each player according to the ratio of the use of the types of skills, and the higher the technological bias in the clusters, the higher the winning rate. Players with a high ratio of hand skills played a long-term battle, especially when faced with players of the same type of hand skill, and players with a high ratio of solidification skills were relatively short-term. Based on this, it is deemed necessary to establish diverse and systematic strategies considering the type and relativity of technology, and follow-up research applying detailed technology classification is necessary.

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