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Predicting Football Outcomes by Using Poisson Model: Applied to Spanish Primera División


During the past decades, sport, in general, has become one of the most powerful competitions and the most popular in the world. As well as, everyone is waiting for the winner, and who will be the champion in the end in different tournaments. Among these sports, football's popularity is more than all other sports. Football matches results predicting, as well as the champion in various competitions, has been seriously studied in recent years. Moreover, it has become an interesting field for many researchers. In this work, the Poisson model has been presented to predict the winner, draw, and loser from the football matches. The method is applied to the Spanish Primera División (First Division) in 2016-2017; the data has been downloaded from the website, which will be used to find the prediction accuracy.


IoT, Poisson model, Likelihood Estimation, Football, Football Outcomes, La Liga, Goal Expectancy, Internet of Things



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