Big data evaluation model of football team cooperation based on entropy weight method

摘要

The success or failure of any team sport depends on the degree of team cooperation, and when calculating the degree of team cooperation, you need to refer to valid indicators. In football, a team game, there are many indicators, and it is very important to select the indicators that can have a key impact on the final result. Through correlation analysis in this paper, from a large amount of data indicators effective performance indicators are selected, and then through the entropy weight method to determine the weight of each performance indicators. the Pass Times Matrixes is introduced to describe the degree of cooperation between different players in the whole team. Finally built a team level for the objective, fair and comprehensive evaluation model, and with 17-18 premier league season Everton team's 38 games data has carried on the detailed analysis and practice. The correlation test between the scoring results of each competition and the results of the competition is carried out to demonstrate the correctness of the evaluation model.