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The new type of coronavirus (COVID-19) has deeply affected football, the most followed sport in the world, financially and socially. The clubs that have been heavily hit financially will certainly focus more on the digital world to overcome this problem. Competition in the field will take place in the digital world at the same rate. Three factors will be very important for clubs in the new period: firstly, reassuring the loyal fans' expectation of success as before; secondly, adjusting themselves to the rules of financial fair play and being financially successful; and lastly, meeting the expectations of the new and digitalized fan generation. As a result, the football industry should find the most suitable way for itself, considering the negative consequences of COVID-19 and the changing dynamics of the industry.

This study aims to predict the construction cost in China, the authors purposed a fused method.

The authors extracted 22 factors which may influence the cost and performed the correlation analysis with cost. They chose the highest 10 factors to predict cost by the fused method. The method fused the Kalman filter with least squares support vector machine and multiple linear regression.

Ten factors which affect the cost most were found. The construction cost in China can be predicted by the presented method precisely. The statistical filter method could be used in the field of construction cost prediction.

The construction cost and construction interior factors are a business secret in China. So, the authors only collected 24 buildings’ data to perform the experiments.

There is no standard and precise method to predict construction cost in China, so the presented method offers a new way to judge the feasibility of projects and select design schemes of construction.

The authors purposed a new fused method to predict construction cost. It is the first time that the statistical filtering method was used in this field. The effectiveness was verified by the experiments. Ten factors which have a high relationship with construction cost were found.