Valuations of Soccer Players from Statistical Performance Data

Tunaru, Radu and Viney, Howard P. (2010) Valuations of Soccer Players from Statistical Performance Data. Journal of Quantitative Analysis in Sports, 6 (2). ISSN 1559-0410. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL


Based upon contingent claims methodology and standard techniques in statistical modeling and stochastic calculus, we develop a framework for determining the financial value of professional soccer players to their existing and potential new clubs. The model recognizes that a player's value is a product of a variety of factors, some of them more obvious (i.e. on-field performance, injuries, disciplinary record), and some of them less obvious (i.e. image rights or personal background). We provide numerical examples based upon historical statistical performance indicators that suggest the value of a soccer player is not the same for all potential clubs present in a market. In other words this is a special case where the law of one price for one asset does not function. Our modeling employs the vast database of soccer players' performance maintained by OPTA Sportsdata; the same database has been used by major clubs in the English Premiership such as Arsenal and Chelsea. From a statistical point of view, our model can be applied to identify the relative value of players with similar characteristics but different market valuations, to explore patterns of performance for individual star players and teams over a run of games, and to explore correlations or interactions between pairs of players or small groups of players on the team. Moreover, it offers a tool to value players from a financial point of view using their past performance; hence this model can be also used to inform contractual negotiations.

Item Type: Article
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculties > Social Sciences > Kent Business School > Accounting and Finance
Depositing User: Jennifer Knapp
Date Deposited: 19 Jul 2010 15:08
Last Modified: 10 Jun 2014 10:51
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):