Machine learning approaches for fantasy league team prediction

Abstract

This research paper presents a machine learning-based fantasy cricket team selector to help players overcome the challenge of team selection. Fantasy cricket is an online game where players create virtual teams of real-life cricket players and compete based on their real-life performances in cricket matches. We developed the team selector by collecting and processing data on cricket player statistics and applying machine learning algorithms. Our study shows that the team selector performs well in selecting winning teams, and we identify the factors that contribute to its success. This research has the potential to contribute to the field of sports analytics and team selection, and its findings may be applicable to other domains as well.