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Informing Fitness Testing Data Reporting and Visualization in Elite Soccer: A Survey Into Practitioner Preferences

Nikolaos D Asimakidis^1,2, Marco Beato^3,4, Nimai Parmar¹

¹Faculty of Science and Technology, London Sport Institute, Middlesex University, London, United Kingdom.

Journal of Strength and Conditioning Research

|March 16, 2026

Summary

Elite soccer practitioners prefer tracking performance changes over benchmarks. They favor interactive dashboards, quadrant charts, and traffic light systems for visualizing fitness data, prioritizing clarity and ease of interpretation.

Keywords:

athlete monitoring communication data analytics survey study visual analytics

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Area of Science:

Sports Science
Exercise Physiology
Data Visualization

Background:

Effective reporting and visualization of fitness testing data are crucial for elite soccer practitioners.
Understanding practitioner preferences is key to developing user-friendly and informative data presentation strategies.
Current methods may not fully align with the needs of professionals in elite soccer environments.

Purpose of the Study:

To explore the preferences of elite soccer practitioners regarding fitness testing data reporting content and insights.
To identify preferred data visualization formats and their perceived utility in interpreting performance metrics.
To inform the development of optimized reporting and visualization tools tailored to the needs of soccer practitioners.

Main Methods:

A cross-sectional online survey was administered to 145 elite soccer practitioners.
The survey included 27 questions covering background information, reporting content preferences, and data visualization formats.
Frequency analysis was used for fixed-response questions, and thematic analysis for open-ended responses.

Main Results:

Practitioners predominantly value tracking performance changes (91%) over benchmark or position-specific comparisons.
Interactive dashboards (91%), quadrant charts (87.6%), and traffic light systems (77.2%) are highly valued visualization formats.
Raw scores are preferred (62.1%), with bar charts (77.2%) favored for interplayer comparisons and line charts (51.7%) for tracking trends.

Conclusions:

Findings provide actionable insights for creating user-friendly fitness testing reporting strategies in elite soccer.
The study supports the development of data visualization tools that meet diverse practitioner needs and enhance decision-making.
Recommendations can guide practitioner training and the adoption of evolving industry best practices in sports analytics.