New Frontiers in Communication and Intelligent Systems
Football Analysis: An Automated System for Team Generation
Authors: Janvi Desai, Tanishq Tapiawala and Neha Ram
Publishing Date: 12-11-2021
ISBN: 978-81-95502-00-4
Abstract
Football Analytics has seen a major growth in the past couple of years. Many of the top football clubs have started implementing various aspects of the vast field of football analytics. The utilization of data has become particularly important with respect to player development. In such a fast paced game, keeping track of all the players at once is an extremely difficult task. In the paper, we propose the idea of an automated system that will help the manager to pick out the team strategy, with the playing line-up, for a particular match depending on the opponent’s team tactics. The system will include 2 phases, first phase will predict the player's playing position using cluster analysis. In the next phase, the system will use deep learning to evaluate the performance of players based on their position. Using the output from the two phases, we will predict the team strategies.
Keywords
Match analysis, Playing position, Player performance, Team strategy, Cluster analysis, Deep learning.
Cite as
Janvi Desai, Tanishq Tapiawala and Neha Ram, "Football Analysis: An Automated System for Team Generation", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2021, pp. 121-127. https://doi.org/10.52458/978-81-95502-00-4-15