Predicting the Winner of Games in World Cup Soccer Matches
DOI:
https://doi.org/10.53555/nnms.v3i7.549Keywords:
Least Squares Regression, Logistic Regression, Point Spread Models, Win Probability ModelsAbstract
In this research, statistical models were developed that can be used to predict the outcomes of World Cup soccer matches. Least squares regression and logistic regression techniques were used in the development of the models using data from the 2006 World Cup Matches. The models were tested using data from the 2010 World Cup Matches. Predictions were made for the 2014 World Cup Championship assuming no results were known ahead of time.
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