Abstract
This paper investigates the presence of the superstar effect among the users of the Czech fantasy league during the 2015–16 season. Both the main points of view found in previous literature are taken into consideration, namely Rosen's theory and Adler's theory. The biggest advantage of the virtual fantasy league environment is the ability to gain direct preferences, not just those provided by mediated variables, for the athletes’ characteristics which are important for users. Using regression models, which employ the method of pooled ordinary least squares, I show a positive superstar effect according to both theories. The effect based on Adler's theory is substantially bigger than the effect based on Rosen's theory. Nevertheless, some of the other examined influences are more important, such as the athlete's performance; the athlete's nationality being the same as the user's; or how famous the club the athlete started in was.
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