Twitter has been proven to be a notable source for predictive modeling on various domains such as the stock market, the dissemination of diseases or sports outcomes. However, such a study has not been conducted in football (soccer) so far. The purpose of this research was to study whether data mined from Twitter can be used for this purpose. We built a set of predictive models for the outcome o...

With the recent inclusion of inter-league games to professional sports leagues, a natural question is to determine the “best possible” inter-league schedule that retains all of the league’s scheduling constraints to ensure competitive balance and fairness, while minimizing the total travel distance for both economic and environmental efficiency. To answer that question, this paper introduces th...

This paper develops a model of a professional sports league with network externalities by integrating the theory of two-sided markets into a two-stage contest model. In professional team sports, the competition of the clubs functions as a platform that enables sponsors to interact with fans. In these club-mediated interactions, positive network effects operate from the fan market to the sponsor...

Football, which was once considered only a game, as now metamorphosed into a never-ending drama, “a soap opera watched all over the world” [1]. The overall appeal of sport has thus made it increasingly synonymous with wealth creation [2]. Particularly, football as a business continues to grow at an exponential rate from year to year. As revealed by Deloitte, this staggering growth becomes more ...