Football Prognosis using Machine Learning Algorithm XGBoost

Abstract

Sport is among the most popular activities of all time. About half of the populace were interested in different activities, football or soccer, as it is popularly called. Football is now an activity with massive venture resources and sales in milliards yearly, not just in terms of sports. In the last year, the Premier League itself has given rise to more than 1 billion dollars. Because betting in most European countries is now allowed, citizens continue to participate week after week. Betting companies have their predictors that are the foundation for betting scores. If people seek to conquer these challenges, they also take a tremendous deal away from them. Even though there may be three outcomes: win, loss, or draw results in a football match, it can be difficult to predict these results. The goal of our paper is therefore to create a model that tries to overcome these odds by utilizing limited data.