Editorial: Performance Analysis in Sport

Frontiers in Psychology

article

Miguel-Angel Gomez-Ruano¹  Sergio José Ibáñez²  Anthony S. Leicht³ 

[1] Faculty of Physical Activities and Sport Sciences, Polytechnic University of Madrid;Faculty of Sport Sciences, University of Extremadura;Sport and Exercise Science, James Cook University

关键词: performance;    sport;    notational analysis;    athlete;    sport performance;   

DOI  :  10.3389/fpsyg.2020.611634

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Performance analysis is a sub-discipline of Sport Science research (Borms, 2008) that hasattained great interest for many stakeholders (i.e., coaches, technical staff, performance analysts,managers, media, fans, and players) at different levels of performance (i.e., youth, semiprofessional, or professional players). The development and implementation of new technologiesto measure individual or team’s performances (e.g., tracking systems such as local positioningsystems, LPS; video tracking, or observational video analysis systems) with multiple practicalapplications have intensified the focus of performance analysis in sport (Hughes and Franks,2007). Traditional approaches have included static analysis focused on retrospective performances;however, dynamic and complex analyses (i.e., non-linear Multi-Dimensional Scaling, classificationand regression tree, logistic regression, etc.) have become increasingly utilized by researchers fora deeper understanding of sport performance during training and competition (O’Donoghue,2009). In particular, a holistic and multidisciplinary perspective such as the Grand UnifiedTheory analyses (GUT, see Glazier, 2017) has been suggested to be fundamental for sportsperformance. This approach, provides a framework to examine the inter- and intra-athlete’sbehavior dimensions under the environmental and task-related (ecological) factors that affectthe performance. Specifically, isolated approaches have been suggested to be avoided with theintegration of the biomechanical, physiological, psychological, technical, tactical, positional, motordevelopment and/or strength and conditioning perspectives recommended when evaluatingmatch-related contexts and training tasks (Glazier, 2017). Additionally, Woods et al. (2020)highlighted the importance of ecological dynamics to guide the control, preparation andassessment of athletes and teams. Subsequently, the use of interdisciplinary research designs wouldprovide clear and well-described rationales, powerful data collection and analyses, resulting inrobust findings. Innovative sports performance analyses that incorporate new technologies tounderstand individual’s behaviors within real-based and ecological contexts would provide a greaterunderstanding of how players and teams act and react for greater performance developmentand application (Bertollo et al., 2020). In fact, as Robertson (2020) argued, the developmentof professionalism and data gathering in sport had lead to a new scenario for coaching staff,athletes, and performance analysts where adaptative tools are essentially required to understand theneeds of sports performance (e.g., human-machine interaction, perspective, innovation, versatility,visualization, evaluation, feedback, generalization, and future planning).

【 授权许可】

CC BY