A Multi-Layer Neural Network Based Model for Winner Prediction In Mixed Martial Arts

Abstract

 The mixed martial arts (MMA), is a one to one fighting sports, in which several techniques like striking, grappling, jiu-jitsu of different fighting based sports arts are applied. It’s a well organized popular sport throughout the world. It is one to one combat-based sports in which one side is identified with a red label and the opponent is identified with a blue label. The aim of this paper is to study the application and the effects of a multilayer neural network-based deep learning model to find the winner of the match. For the prediction of the winner, the fighters various characteristics are used in this neural network-based model. A significant amount of accuracy 71%, has been achieved in this study while experimenting.