Football Prediction using XGBoost Algorithm: A Literature Review

Abstract

Sports is one of the most prevalent activities of all time. About half of the world has been interested in different activities, soccer or soccer, as it is commonly known. Football is now an activity with massive venture resources and annual sales of billions, not just in terms of sports. In the last year, the Premier League itself has raised more than $1 billion. Because betting is now permitted in most European nations, citizens continue to participate week after week. Betting companies have their predictors that are the basis for betting scores. If people are willing to resolve these challenges, they will indeed help take a huge deal. Although there may be threeoutcomes to win, lose, or draw results in a soccer match, it may be difficult to predict these outcomes. The objective of this paper is therefore to create a model that aims to overcome these odds utilizing limited data.