SOCPRED : An Ensemble Approach to Predict Match Outcomes of Scottish Premiership

Abstract

Soccer is the most popular sport on the planet. Soccer is governed by the FIFA organization. Predicting soccer match outcomes is interesting for bettors and soccer fans. There are few studies that have been done to predict soccer match outcomes in the past. Existing researches have few research gaps and this study will address those research gaps. This study focused on Scottish Premiership which is a league competition in Scotland. The machine learning model used a dataset created by the author since a lack of quality datasets in the domain. Further, Ensemble algorithms are used to build the machine learning model to improve accuracy and performance.