Key Players and Key Groups in Teams: A Network Approach Using Soccer Data
AbstractThis paper provides a way of evaluating a player's contribution to her team and relates her effort to her salaries. We collect data from UEFA Euro 2008 Tournament and construct the passing network of each team. Then we determine the key player in the game while ranking all the other players too. Next, we identify key groups of players to determine which combination of players played more important role in the match. Using 2010 market values and observable characteristics of the players, we show that players having higher intercentrality measures regardless of their field position have significantly higher market values.
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Bibliographic InfoPaper provided by DIW Berlin, German Institute for Economic Research in its series Discussion Papers of DIW Berlin with number 1053.
Length: 34 p.
Date of creation: 2010
Date of revision:
Social networks; team game; centrality measures;
Find related papers by JEL classification:
- A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
- C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-09-25 (All new papers)
- NEP-NET-2010-09-25 (Network Economics)
- NEP-SOC-2010-09-25 (Social Norms & Social Capital)
- NEP-SPO-2010-09-25 (Sports & Economics)
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