(School of Physical Education，Shaanxi Normal University，Xi’an 710119，China)
Abstract: To explore the relationships between passing performance and match win-loss for teams from Chinese Football Super League (CSL) under the different match situations, taking the wining and losing matches (N=187) of the 2019 season in CSL as the research object, and passing performance indicators (21 routine passing indicators and 9 network metrics) as predictable variables, match result (win, loss) as outcome variables, using the methods of the chi-square test, independent samples t-test, Mann-Whitney U-test, curve fitting and discriminant analysis to discuss the key passing factors affecting the win or loss for games to different teams versus their rivals at home or away situation.The research shows that: (1) Among the conventional passing indexes, the cross pass, medium pass, through pass, cross pass to the penalty area, short pass and pass in the area of 30m from the opposing goal line were important variables affecting the matches results. There was a curvilinear correlation between the match outcome and some network metrics(e.g. point centrality, eigenvector centrality, network density and cohesion index.)Teams with low centrality, low network density and cohesion index values were more likely to win the game. (2) In the home and away situation, the key pass performance index differed from teams with different levels of competition. (3)Using the passing performance index to discriminate the result of football games under different competition situations, the classification accuracy was higher. The study holds that social network analysis provides a new research perspective for football match performance, and understanding the influence of passing performance on the outcome in different game situations has very much significance in practice.
Keywords: competition and training；Chinese Football Super League；match situation；passing；match win-loss relationship；sports performance analysis