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Forecasting the Results of Soccer Matches Using Poisson Model  

Seong, Hyun (Department of Industrial Engineering, Seoul National University)
Chang, Woo-Jin (Department of Industrial Engineering, Seoul National University)
Publication Information
IE interfaces / v.20, no.2, 2007 , pp. 133-141 More about this Journal
Abstract
As the sales of the Sports Toto, the Korean lottery on sports games, have increased significantly in recent five years, interest in predicting the various results of sports matches has also been raised. Dixon and Coles (1997) proposed a bivariate Poisson model to predict the results of English soccer league matches. In this paper, we pay attention to the physical condition of players that may affect soccer match results and revise Dixon and Coles' model to consider probable fatigue due to the players' short rest followed by their frequent matches. We observed the fatigue effect in the match results, and found positive betting returns available when using our prediction model. Furthermore, the validity of probability-based odds in European and Korean betting markets is analyzed.
Keywords
betting; soccer results; fatigue effect; maximum likelihood estimation; Poisson distribution;
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