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REVIEW article

Front. Sports Act. Living
Sec. Elite Sports and Performance Enhancement
Volume 6 - 2024 | doi: 10.3389/fspor.2024.1512386
This article is part of the Research Topic Spatial-temporal Metrics to Assess Collective Behavior in Team Sports View all 6 articles

The Principles of Tactical Formation Identification in Association Football (Soccer) -A Survey

Provisionally accepted
  • Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, Zürich, Switzerland

The final, formatted version of the article will be published soon.

    This paper reviews the principles employed to identify team tactical formations in association football, covering over two decades of research based on event and tracking data. It first defines formations and discusses their history and importance. It then introduces the preprocessing and team/position-level principles. Preprocessing includes match segments and normalized locations followed by data representation using various options, such as average locations, hand-engineered features, and graphs for the team-level and relative locations, distributions, and images for the position-level approaches. Either of them is later followed by applying templates or clustering. Among the limitations for future research to address is the reliance on spatial rather than temporal aggregation, which bases formation identification on newly introduced coordinates that may not be available in raw tracking data and match footage. Assuming a fixed number of outfield players (e.g., 10) fails to address scenarios with fewer players due to injuries or red cards. Additionally, accounting for phases of play is crucial to provide more practical context and reduce noise by excluding irrelevant segments, such as set pieces. The existing formation templates do not support arrangments with more or fewer players in each horizontal line (e.g., 6-3-1). On the other hand, clustering forces new observations to be described with previously learned clusters, preventing the possibility of discovering emerging formations. Lastly, alternative evaluation methods should have been explored more rigorously, in the absence of ground truth labels, such as their realistic assumptions, robustness to small input data changes, temporal stability, reproducibility, interpretability, expected outcomes for known or boundary cases, and the generation of actionable insightful. Overall, this study identifies assumptions, consequences, and drawbacks associated with formation identification principles to structure the body of knowledge and establish a foundation for the future.

    Keywords: Football, Soccer, formation, shape, Position

    Received: 16 Oct 2024; Accepted: 30 Dec 2024.

    Copyright: © 2024 Sotudeh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Hadi Sotudeh, Department of Humanities, Social and Political Sciences, ETH Zurich, Zurich, 8006, Zürich, Switzerland

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.