Author(s)

Hanwen Liu

Corresponding Author

Hanwen Liu

Abstract

In response to the subjectivity and single-dimensionality of traditional player value evaluation in professional sports clubs, this study constructs a practical evaluation model by combining big data technology. Firstly, clarify the three-dimensional connotations of player value, including competitive, commercial and potential aspects. Follow the principles of relevance, accessibility and quantifiability to establish an index system, and use the simplified analytic hierarchy process to determine the weights. Among them, competitive value accounts for 60%, commercial value for 25%, and potential value for 15%. Then, it designs a three-step data processing flow of collection, cleaning, and standardisation, combined with a hybrid algorithm of multiple linear regression and weighted summation. Verified with data from mainstream leagues, the model’s error rate is below 15%, demonstrating validity. The study further applies the model to scenarios such as player recruitment, contract renewal negotiations, and commercial development, and establishes an iterative mechanism of quarterly review, departmental feedback, and environmental adaptation to provide objective support for club decision-making. At the same time, it points out the model’s limitations in non-quantitative indicators and adaptation to minor leagues, indicating directions for subsequent optimisation.

Keywords

Professional Sports Clubs; Player Value Evaluation; Big Data Model; Indicator System