Sports Prediction

Machine learning is one of the intelligent methodologies that have shown promising results in the domains of classification and prediction. One of the expanding areas necessitating good predictive accuracy is sports prediction, due to the large monetary amounts involved in betting. Also, club managers and owners are striving for classification models so that they can understand and formulate strategies needed to win matches. Various factors like past match histories, player performance indicator and opposition information affect the prediction. This paper provides a critical analysis of the literature in ML, focusing on the application of Artificial Intelligence to sports results prediction. While conducting this experiment, learning technologies, data sources, model evaluation and challenges regarding prediction were identified. This then leads us to propose a novel sports prediction framework through which ML can be used as a learning strategy.