Time Series Approaches to Predict Soccer Match Outcome

Joseph, Lithin Dominic (2022) Time Series Approaches to Predict Soccer Match Outcome. Masters thesis, Dublin, National College of Ireland.

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Abstract

EPL is one of the most viewed and fan followed series in soccer history. Since the sports gambling business and artificial intelligence have evolved to such an extent, forecasting the outcome of a sporting event using a computerized system has become extremely relevant. Numerous data analysts worked on predicting EPL games’ results in recent years. Nevertheless, all the approaches are almost similar, and not many changes have happened in this area. Even though the game held for many years, the researchers do not address time series analysis adequately. This study will focuses on the time series factor of the individual teams in the EPL and predicts the result of matches between the possible pairs of clubs considering home and away matches. Statistical time series methods are compared with LSTM and
Bayesian Models.

Item Type:	Thesis (Masters)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports > Soccer
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	20 Feb 2023 13:42
Last Modified:	20 Feb 2023 13:42
URI:	https://norma.ncirl.ie/id/eprint/6194

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