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Analysis of Factor of Scoring of Japanese Professional Football League

机译:日本职业橄榄球联盟评分因素分析

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In "The Japan Professional Football League (J League)", the number of customers is increasing every year since 2011. The Japanese football team participates in the Russian World Cup in 2018. Therefore, J league market is expected to become more active. In this research, we analyze the score trend of the league with the aim of proposing tactics and training for the J League team. In each piece of data, position information obtained by dividing a field into an X-axis and a Y-axis are given. Therefore, in the data to use, this research pay attention to the data on the play involved in the score and the position where the play started. In this study, first, cluster analysis is performed to classify the start position of play involved in scores. After that, factor analysis and covariance structure analysis are carried out, and the play highly relevant to the score is discovered. Before analysis, data cleaning is carried out so that similar variables did not exhibit a strong correlation. First, the start position of the play involved in scores is classified by cluster analysis. From the score data, play related to the score was extracted and classified. After this, good results have been obtained with clusters showing mainly attacks from their own field. Therefore, in Japanese professional football, it can be predicted that there is some tendency in score from own field. Next, factor analysis/covariance structure analysis is performed on each cluster, and tactics related to scores are discovered. Factor analysis was conducted and latent variables related to the score were extracted. Define that latent variable as a score-related tactic and analyze the relationship between different tactics using covariance structure analysis. Those with low relevance are considered independent tactics. From the analysis results, in J League found that "side attack" and "pass to empty space" are strongly related to the score. Also, on the left side of the field, the score tendency using "dribbling" was weak. Japanese players, this can be expected to be related to having few players using left foot more than the right. Therefore, it is possible to propose "training of side attacker with excellent physical strength and speed" and "counterattack/strengthen side attack". Furthermore, we found out that it is a task to put emphasis on cultivating left-handed players. This analysis focused on the attack from the own field. The future task is to analyze the attack pattern from the enemy field and judge whether it is haste from the length of attack time.
机译:在“日本职业足球联赛(J联赛)”中,自2011年以来每年的客户数量正在增加。日本足球队于2018年参加了俄罗斯世界杯。因此,J联赛市场预计将变得更加活跃。在这项研究中,我们分析了联盟的分数趋势,以提出J联盟队的策略和培训。在每条数据中,给出通过将字段划分为x轴和y轴来获得的位置信息。因此,在要使用的数据中,这项研究会注意参与分数的戏剧的数据和戏剧开始的位置。在本研究中,首先,执行群集分析以对涉及得分中涉及的比赛的起始位置进行分类。之后,进行因子分析和协方差结构分析,发现与分数高度相关的比赛。在分析之前,进行数据清洁,以便类似的变量没有表现出强烈的相关性。首先,参与分数所涉及的播放的起始位置是通过群集分析分类的。从分数数据,提取和分类与分数相关的播放。在此之后,已经获得了良好的结果,其中包括从自己的领域的攻击攻击。因此,在日本职业足球中,可以预测从自己的领域得分趋势。接下来,对每个群集执行因子分析/协方差结构分析,并发现与分数相关的策略。对因子分析进行了分析,提取与分数相关的潜变量。将该潜在变量定义为与分数相关的策略,并使用协方差结构分析分析不同策略之间的关系。具有低相关性的人被认为是独立的策略。从分析结果来看,在J联盟中发现“侧面攻击”和“传递给空的空间”与得分强烈相关。而且,在场的左侧,使用“运球”的分数趋势较弱。日本球员,这可以预期与利用左脚超过右边的玩家有关。因此,可以提出“具有优异的体力和速度”和“反击/加强侧攻击”的“侧攻击者的培训”。此外,我们发现它是重点培养左撇子球员的任务。这种分析专注于自己的领域的攻击。未来的任务是分析来自敌方领域的攻击模式,并判断它是否急速攻击时间。

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