Exploiting Artificial Intelligence Approaches to Augment Decision-making Processes for an Intelligent Performance in Football

The world of Football has witnessed remarkable advancements, elevating the sport from being merely "The Beautiful Game" to a realm where numbers and data hold immense significance. While some clubs and teams have achieved success through research, there is a pressing need for further investment in research, particularly with the integration of Artificial Intelligence (AI) technologies. AI has the potential to revolutionize team performance analysis by providing real-time insights and facilitating the analysis of instant games. An illustrative instance of the application of reinforcement learning for the purpose of analyzing player styles and conducting comparative assessments among various players can significantly enhance the simulation of these players within video games, such as FIFA games. Furthermore, it can augment the process of recruiting new players in accordance with the distinct training methodologies employed by individual clubs within diverse leagues.In this paper, we propose a novel approach to developing an intelligent system that can analyze and predict Football players' performances in real-time. Our approach utilizes machine learning and deep learning techniques, as well as a recommendation system, to comprehensively analyze players' performance. This proposed system aims to support managers and players in making informed decisions by providing them with valuable insights based on diverse data sources. By leveraging this system, teams can enhance their performance and potentially attain higher international rankings.