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The Frontiers of Society, Science and Technology, 2020, 2(15); doi: 10.25236/FSST.2020.021511.

How Soccer Players’ Box Score Statistics Effect on their Rating and Market Value


Haoyang Yan

Corresponding Author:
Haoyang Yan

Shanghaitech University       Shanghai   201210   China


This paper discusses the application of advance statistics in soccer. In order to valuate the performance and value of soccer players, we introduce more advance statistics and try to detect the effect on players’ rating and market value from their box score statics.
In section 2 of this paper, we introduce an advance statistic - Box Rating (BR) - to valuate the performance of a soccer player in a match. The derivation of BR comes from the rating given by Whoscored regressed by 26 series of box score statistics (including goals, assists, passes and so on) of 2024 players in European top 5 leagues last 3 competition seasons (2017-2020). We then analyse the ridge trace of the regression coefficient to test the robustness of the regression.
In section 3 of this paper, to avoid the confounders like age, injury and commercial value which have unobserved effect to players’ market value, we use 35 series of player ability ratings from FIFA20 as the In- strument Variable and do two stage least squre (2SLS), getting the true effect players’ box score statistics exerting on their market value.
In section 4 of this paper, we compute the correlation among ratings and market value, and do some hypotheses-test of our results. We also point out some limitation of players’ statistics.


box score statistics, rating, market value

Cite This Paper

Haoyang Yan. How Soccer Players’ Box Score Statistics Effect on their Rating and Market Value. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 15:82-104. https://doi.org/10.25236/FSST.2020.021511.


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