Predictive Analysis and Comparison of Various Models on Esports Competitions

Abstract

eSports has emerged as a popular genre for players and viewers, promoting a global industry in entertainment. The study of eSports has grown to resolve the need for data driven feedback, which focuses on assessment, strategy, and prediction of cyber-athletes. The focus of this project is to create and compare various models to predict the likely winner for professional games based on the data recorded from various eSports tournament matches. Pro-games have the top industry and audience attention but are restricted in number. The project is dominant on Deep Learning and Machine Learning, where the predictions are made using the model that we will build. This project can play a big part in gauging which model is most suitable for predicting the results of a match.