Football performance involves the interaction of technical, physical, and tactical activities among players, and is characterized by high dynamicity and complexity, players’ behaviors are given an adaptive character in the continuous performer-environment interactions. The playing patterns of football has have undergone substantial changes over the past seasons and will continue to evolve due to the interaction of external factors and intrinsic variation within the human movement. However, the traditional standard is to assess the performance during gameplay by means of qualitative game observations that are less objective and systematic. The advances in the tracking system and the introduction of artificial intelligence and big data analysis technologies provide useful tools for coaches and performance analysts to better understand the characteristics of football performance and to find the keys to winning a match.
The present Research Topic offers an opportunity for the scientific discussion of exploring the dynamic and complex characteristics of football performance in both competition and training scenarios from team and player level, considering the technical, tactical, physical and other relevant factors. It aims to provide more evidence and practical insights for coaches and players to understand the behaviors and events that occurred during competitions and training, and to optimize match performance. We encourage research that focuses on the investigation of the performance of academy players and female players, not just on the adult male players. The introduction of novel interventions for training sessions, and the advanced technologies, approaches and systems for evaluating and improving the performance of teams and players will also be considered.
We call upon researchers to submit their work in the forms of original research, systematic review and meta-analyses articles on any of the following topics:
• Application of new technologies, approaches and systems in football performance analysis;
• Game-related statistics modelling;
• Application of artificial intelligence and big data analysis technologies;
• Time-motion analysis;
• Notational analysis;
• Football performance analysis from the biomechanical perspective;
• Non-linear approaches in football performance analysis;
• Football performance analysis using complex system theory;
• Identification of key performance indicators;
• The influence of situational variables;
• Performance analysis in academy players and female players;
• Monitoring of training and game demands
Football performance involves the interaction of technical, physical, and tactical activities among players, and is characterized by high dynamicity and complexity, players’ behaviors are given an adaptive character in the continuous performer-environment interactions. The playing patterns of football has have undergone substantial changes over the past seasons and will continue to evolve due to the interaction of external factors and intrinsic variation within the human movement. However, the traditional standard is to assess the performance during gameplay by means of qualitative game observations that are less objective and systematic. The advances in the tracking system and the introduction of artificial intelligence and big data analysis technologies provide useful tools for coaches and performance analysts to better understand the characteristics of football performance and to find the keys to winning a match.
The present Research Topic offers an opportunity for the scientific discussion of exploring the dynamic and complex characteristics of football performance in both competition and training scenarios from team and player level, considering the technical, tactical, physical and other relevant factors. It aims to provide more evidence and practical insights for coaches and players to understand the behaviors and events that occurred during competitions and training, and to optimize match performance. We encourage research that focuses on the investigation of the performance of academy players and female players, not just on the adult male players. The introduction of novel interventions for training sessions, and the advanced technologies, approaches and systems for evaluating and improving the performance of teams and players will also be considered.
We call upon researchers to submit their work in the forms of original research, systematic review and meta-analyses articles on any of the following topics:
• Application of new technologies, approaches and systems in football performance analysis;
• Game-related statistics modelling;
• Application of artificial intelligence and big data analysis technologies;
• Time-motion analysis;
• Notational analysis;
• Football performance analysis from the biomechanical perspective;
• Non-linear approaches in football performance analysis;
• Football performance analysis using complex system theory;
• Identification of key performance indicators;
• The influence of situational variables;
• Performance analysis in academy players and female players;
• Monitoring of training and game demands
