8 Tactical Analysis in Sport
8.1 Introduction
The importance of tactical behaviour and organisational strategies in team sports analysis is increasingly recognised.
Historically, the focus was predominantly on physiological and biomechanical factors. However, more recent studies highlight the important role of tactical insights in enhancing both team performance and training efficacy.
These studies often call for a multidisciplinary approach that bridges the gap between traditional sports science and modern data analytics. By leveraging technological advancements, such as position tracking data, and addressing methodological challenges through collaborative efforts between sports scientists and computer scientists, the potential for a deeper understanding of in-game dynamics and team interactions can (they argue) be unlocked.
8.2 Guided Reading
Both papers for this week are available for reading and download via the module reading list, which can be accessed via myplace.
[1] J. Garganta, “Trends of tactical performance analysis in team sports: Bridging the gap between research, training and competition,” Revista Portuguesa de Ciências Do Desporto, vol. 9, no. 1, pp. 81-89, 2009. Available here.
[2] F. R. Goes et al., “Unlocking the potential of big data to support tactical performance analysis in professional soccer: A systematic review,” European Journal of Sport Science, vol. 21, no. 4, pp. 481-496, 2021. Available here.
Key Observations
A number of key themes can be identified in our reading this week:
The importance of tactical analysis: Both papers highlight the significance of tactical analysis in team sports, particularly in improving performance and training. Garganta [1] emphasises that, despite the historical focus on physiological and biomechanical aspects, tactical behaviours and team organisation play a crucial role. Goes et al. [2] focus on the potential of data-driven analysis in professional football, particularly using position tracking data.
Research and technological ‘gaps’: Garganta [1] identifies a gap in the theoretical framework for tactical performance analysis in team sports. Goes et al. [2] address the challenges posed by ‘big data’ in sport, suggesting that current methods of data management and analytics might be inadequate for fully exploiting the available information.
Multidisciplinary approaches: Both papers argue for a multidisciplinary approach to enhance tactical analysis. Garganta advocates integrating concepts and methods to understand game complexity and team dynamics better [1]. Goes et al. propose a multidisciplinary framework for analysing football tactics, which involves collaboration between sports science and computer science [2].
Enhancement of training and performance: Tactical analysis is presented as a tool for improving individual and team performance. Garganta discusses how identifying tactical features can inform training programs, while Goes et al. discuss how advanced data analytics can provide new insights that help refine tactical behavior.
Need for conceptual and methodological development: Both papers call for development in the conceptual and methodological aspects of sport data analysis. Garganta stresses the need for a conceptual framework to bridge the gap between research, training, and competition [1]. Goes et al. outline specific challenges in data analytics, such as feature construction and data aggregation, and how they can be addressed through innovative, interdisciplinary solutions [2].
8.3 Questions for Reflection
How might the integration of advanced data analytics and traditional tactical analysis change the way coaches and teams prepare for competitions?
What are the potential barriers to adopting a multidisciplinary approach in sport data analytics, and how can these barriers be overcome?
How could the findings from these studies influence the future development of training programs and performance enhancement strategies in various team sports beyond football?