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Data Mining In Sports Betting

Author

Listed:
  • Cristian Georgescu

    (Dunarea de Jos University of Galati, Romania)

Abstract

In this paper, we have made a brief analysis on how to make decisions in betting on European football with the help of data mining techniques. Whether you refer to betting a few days in advance of the sporting event or live betting, both options have been taken into consideration. By using a clustering algorithm for analyzing both the database containing events from football matches and the odds given by bookmakers, we have obtained graphs indicating the probabilities associated with analyzed events. Given the purely informative aspect of the current paper, we have only analyzed the number of corners from a match.

Suggested Citation

  • Cristian Georgescu, 2013. "Data Mining In Sports Betting," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 102-105.
    • Handle: RePEc:ddj:fserec:y:2013:p:102-105
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