SoccerNet: A Gated Recurrent Unit-based model to predict soccer match winners.

ABSTRACT: Winning football matches is the major goal of all football clubs in the world. Football being the most popular game in the world, many studies have been conducted to analyze and predict match winners based on players' physical and technical performance. In this study, we analyzed the matches from the professional football league of Qatar Stars League (QSL) covering the matches held in the last ten seasons. We incorporated the highest number of professional matches from the last ten seasons covering from 2011 up to 2022 and proposed SoccerNet, a Gated Recurrent Unit (GRU)-based deep learning-based model to predict match winners with over 80% accuracy. We considered match- and player-related information captured by STATS platform in a time slot of 15 minutes. Then we analyzed players' perfor

SUBMITTER: AlMulla J 

PROVIDER: S-EPMC10393150 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature