Double Referee Model in Football Match Based on Data Mining

In football match, the referee's running position has a direct impact on the accuracy of the game. The traditional analysis method can not get the test results well because of the data volume. In this paper, the method of data fusion is used to analyze the big data of punishment. Through the double referee experiment, on-the-spot observation statistics and comparative analysis of the accuracy of sentencing. The results show that the division of running area is equal and reasonable, the division of responsibilities is clear and easy to operate. This method is more advantageous to control the fast transition of attack and defense and the fast transfer of attack between the two sides of the game. It has a certain reference value for the referee's decision research in football match.