Abstract: In this study, Machine Learning techniques are used to predict the winning team in the English Premier League (EPL). The goal is to predict a football match's full-time result (FTR) accurately, which determines the winning team. For training the data, we use algorithms like Support Vector Machines, XGBoost, and Logistic Regression, and the one with the highest and best accuracy is used to forecast the winning team. The data for previous seasons is obtained from [6].

Keywords: Football, Soccer Analytics, Prediction, Machine Learning, Support Vector Machine (SVM), XGBoost.

PDF | DOI: 10.17148/IJARCCE.2022.11352

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