Footyintel: Creating An AI Scout For Better Talent Recognition

Abstract

In many ways, artificial intelligence (AI) is transforming the way talent in football is identified, and the difference it makes shows in teams scouting and recruiting. AI systems, created with a combination of machine learning, computer vision, and large language models, can analyze vast numbers of player data, ranging from performances in matches, physical measurements, and skill levels across leagues and regions. Because subjective human judgment is involved, AI is an objective and data-driven approach to scouting for promising talents in football. The other type of identification is the prediction of a player’s potential on the basis of historical data and developmental trends, which will give the clubs precious information to make much better recruitment decisions. Challenges in the use of AI in football scouting include data privacy concerns, ethical issues, especially about the profiling of players, and the danger of perpetuation of biases. Despite all these, AI is a solution that may easily improve the efficiency and accuracy of talent evaluation in football.