Free Kick

Research on free kicks in soccer is increasingly leveraging artificial intelligence to analyze and predict their outcomes. Current studies focus on using neural networks, including human action recognition models, to predict ball trajectory based on kicker technique and contextual information, as well as on developing AI assistants that analyze tactical patterns and suggest optimal player positioning for set pieces like corner kicks. These advancements offer valuable insights into the biomechanics of kicking and tactical decision-making, potentially improving coaching strategies and player performance analysis. The use of geometric deep learning techniques highlights the importance of efficiently handling limited data in this domain.