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. Technical and tactical performance evaluation relies on statistical analysis. Principal component analysis was before established in bioinformatics in a decade. Big data collection has been increasing applied in football industry while principal component methods therefore can be introduced in the region to calculate the performance parameters that acquired during the single football competition. During the work, Tactical and technical data with the rank of 2017 China Football Association Super League Tournament were then assessed by linear regression model integrated by the method and confirmed by multiple correlation coefficient statistical analysis. It revealed that the principal component analysis is available to be used for football match performance evaluation and the result is correspondence to the final rank of the season. Furthermore, both attack and defense parameters for the teams have a positive correlation to the outcome of game. Therefore, the established model is a useful tool for coaches and group member to adjust their training program and evaluate their team competence.

Principal Component Analysis on Football Competitions via Linear Model in China Football Association Super League Tournament