基于社会网络分析的CSL球队传球表现分析及对球队绩效的价值

以2018赛季CSL共240场比赛的传球矩阵及传球技术统计为原始数据,运用社会网络分析法、偏最小二乘回归法、K-Means聚类法对该赛季各支球队传球的结构特征及传球绩效进行了研究。结果显示:1)依据球队传球结构特征及传球数量等指标将2018赛季CSL球队分为直接型打法、传控型打法、混合型打法3种类型。2)不同类型球队各有其明显的传球特征,并与联赛成绩取得之间存在关联。其中,直接型打法球队在传球组织进攻中对于核心球员的依赖性较高,球队传球网络核心边缘化结构不合理,暂时性效果并不利于球队长期发展,而传控型打法、混合型打法球队在进攻中各球员传球贡献更加均衡化,联赛成绩优异且具有普适性。3)不论何种类型球队,向前传球数量对球队绩效结果均没有影响,传球数对进攻整体性特征明显的传控型打法球队绩效具有重要影响。

Performance Assessment of European Football Teams： Using Stochastic Data Envelopment Analysis Model

Data Envelopment Analysis （DEA） is a powerful mathematical optimization method widely used for measuring, evaluating and improving the performance of Decision Making Units （DMUs）. These used in the various forms, such as hospitals, government agencies, educational institutions, air force, bank branches, business finns, sport teams and even people including the performance of countries, regions, etc. Recently DEA has been extended to examine the performance through the different sport types. In this paper, a Stochastic Input Oriented Data Envelopment Analysis （SIODEA） Model is conducted for measuring and evaluating the relative efficiency scores of football teams selected from different European countries during 2014/2015 season each with some of inputs are stochastic with normally distributed and recent inputs are deterministic and outputs, to shed light on the professional football teams performance.