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Sensors for Performance Analysis in Team Sports: Second Edition

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 25 February 2026 | Viewed by 867

Special Issue Editors


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Guest Editor
Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, 7004-516 Évora, Portugal
Interests: sports science; sport performance; sport training; elite sport; physical education; complex system; collective behaviour
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Sports Sciences, Exercise and Health, University of Trás-os-Montes and Alto Douro, Quinta de Prados, 5001-801 Vila Real, Portugal
Interests: sports science; medicine and rehabilitation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, 7004-516 Évora, Portugal
Interests: entropy; kinematics; training; sport biomechanics; sports science; exercise physiology; exercise performance
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce the second edition of this Special Issue. You can view the original Special Issue here: https://www.mdpi.com/journal/sensors/special_issues/C9R20EEY34. In recent years, performance analysis in team sports has focused on the quest for reliable information that will help optimise the training process and, ultimately, the competitive outcome. With this in mind, technology has been used to monitor and control the physical and physiological demands of players in both training and competition. Similarly, players’ technical actions and movement patterns have been analysed to provide a holistic perspective of performance. However, technological development is an ongoing and systematic process that produces new sensors almost daily to collect data, advanced metrics to analyse information, and powerful visualisation techniques to display information. This results in a huge untapped potential for improving sports performance. This Special Issue will offer a review of the existing literature, focusing on studies that address the use of sensors to measure team sport performance and the influence of lifestyle habits on player performance.

All types of studies will be considered, including original research, systematic reviews, meta-analyses, validation studies, and conceptual articles.

Potential topics to be covered include the following:

  • The tracking of player movement patterns (e.g., sensors that track player position in both training and competition);
  • Analyses of technical and tactical behaviour in team sports using sensors (e.g., approaches for tracking and interpreting player performance);
  • Sensors that enable the tracking of physical and physiological performance in team sports (e.g., systems that track players’ external and internal load);
  • Wearable sensors that capture health-related variables (e.g., heart rate, blood, sweat, and interstitial fluid);
  • Biomechanical sensors that analyse movement in team sports (e.g., motion analysis);
  • Original studies using sensors to compare player behaviour in team sports (e.g., use of sensors to compare player performance under different conditions during training or competition); 
  • Validation studies investigating new sensors for performance analysis (e.g., validation of systems for recording player behaviour); 
  • Statements and reviews synthesising expert knowledge (e.g., conceptual papers, systematic reviews).

Dr. Bruno Gonçalves
Dr. Diogo Alexandre Martins Coutinho
Dr. Bruno Emanuel Nogueira Figueira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • technical and tactical behaviour
  • physical and physiological analysis
  • movement patterns
  • talent identification technology
  • training and game monitoring
  • wearable sensors
  • motion analysis
  • motion tracking
  • sensor validation

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Published Papers (1 paper)

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Research

15 pages, 670 KB  
Article
The Relationship Between External Load and Player Performance in Elite Female 3 × 3 Basketball Games: A Markerless Motion Capture Approach
by Mingjia Qiu, Rui Dong, Junye Tao, Zhaoyu Li, Wen Zheng and Mingxin Zhang
Sensors 2025, 25(20), 6334; https://doi.org/10.3390/s25206334 - 14 Oct 2025
Viewed by 438
Abstract
Background: This study employed a markerless motion capture system to quantify the external game load of elite 3 × 3 basketball players and evaluated its association with game performance. Methods: Twenty-four female 3 × 3 basketball games from the 2024 Paris [...] Read more.
Background: This study employed a markerless motion capture system to quantify the external game load of elite 3 × 3 basketball players and evaluated its association with game performance. Methods: Twenty-four female 3 × 3 basketball games from the 2024 Paris Olympic Games were analyzed, involving 32 players from eight national teams. A markerless motion capture system was used to collect six categories of external load metrics during games, and 22 types of technical statistics were gathered to determine performance. Collected data were standardized according to live game time (min−1). Repeated-measures correlation analysis was applied to examine the relationships between external load and performance, while mixed-effects models were used to compare external load differences between better- and worse-performing groups (classified by Player Value). Results: The correlations between external load and performance indicators were trivial to small. Accelerations (ACC) were significantly associated with the greatest number of performance indicators (e.g., points, rebounds, 1-point made, key assists), while rebounds were significantly correlated with the largest number of external load metrics (e.g., total distance, low-intensity active distance, high-intensity active distance); however, all correlations remained at the small level (r = 0.16–0.24). No significant differences in external load were observed between players of differing performance groups (p > 0.05). Conclusions: In elite 3 × 3 basketball, external load reflects players’ involvement and effort rather than serving as a primary determinant of game performance. This study provides new empirical evidence on the characteristics of 3 × 3 basketball, suggesting that coaches and strength and conditioning practitioners should adopt a comprehensive perspective when evaluating performance, with external load being more suitable for training regulation and fatigue monitoring. Full article
(This article belongs to the Special Issue Sensors for Performance Analysis in Team Sports: Second Edition)
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