447
ResearchBib IF - 11.01, ISSN: 3030-3753, Volume 2 Issue 7
THE USE OF ANALYTICAL PLATFORMS AND TRACKING SYSTEMS IN
VOLLEYBALL: TRANSFORMING THE APPROACH TO THE TRAINING PROCESS
Namazova V.B.
Volleyball coach, USA, New York,
https://doi.org/10.5281/zenodo.16628623
Abstract. This article examines the impact of modern digital technologies, such as
analytical platforms, GPS systems, and video tracking systems, on the training process of
volleyball players. It provides an overview of leading solutions used in professional volleyball,
including Catapult, Dartfish, and Hudl. The study analyzes key metrics employed to monitor
players’ physical condition and tactical performance. The findings show that implementing these
technologies facilitates the individualization of training programs, reduces the risk of injuries,
and enhances the team’s overall performance. The article also highlights the need to integrate
digital tools into educational programs for coaching staff development.
Keywords: volleyball, tracking systems, analytics, Catapult, Hudl, physical load.
Introduction.
In recent years, there has been a rapid adoption of digital technologies in
athlete training, particularly in team sports. The use of wearable tracking devices, video
platforms, and intelligent analytical systems provides coaching staff with objective data on the
physical condition and actions of volleyball players during both training sessions and
competitive matches [1]. These technologies make it possible to personalize training loads,
monitor fatigue levels, promptly adjust training plans, and develop more precise recovery
strategies.
Such tools are especially valuable in volleyball, where the efficiency of every movement,
positioning, and game decision directly affects overall team performance. The relevance of
digital solutions stems from the need for more accurate diagnostics of athletes’ conditions and
the optimization of training processes based on objective data.
The aim of this article is to analyze the impact of analytical platforms and tracking
systems on transforming approaches to the training process in volleyball. The paper examines
key technologies, methods of their application, and practical outcomes resulting from their
integration into the work of professional teams.
Materials and Methods.
This study is analytical and review-based, relying on a
comprehensive examination of modern tracking systems and analytical platforms used in
professional volleyball training. Data collection was conducted through an analysis of open
sources, scientific publications, case studies from professional teams, and official documentation
provided by developers of analytical solutions.
The empirical basis of the research included official reports and materials from
companies such as Catapult Sports, Hudl, Dartfish, and StatsPerform, as well as scientific
articles published in peer-reviewed journals including Sports Medicine, Journal of Sports
Sciences, and FIVB Technical Reports.
The research methodology included the following stages:
1.
Selection of analysis objects.
Platforms widely used in volleyball and capable of
collecting both biomechanical and tactical data were chosen. These include:
-
Catapult. A system for GPS tracking, load monitoring, and analyzing player movements
and jumps.
448
ResearchBib IF - 11.01, ISSN: 3030-3753, Volume 2 Issue 7
-
Hudl. A platform for video analysis of game episodes, automatic tagging, and statistical
processing.
-
Dartfish. A tool for in-depth review of technical skills and visualization of errors.
-
VolleyMetrics. A system providing advanced statistics and the use of artificial
intelligence for analyzing the actions of players and opponents.
Key parameters and functional capabilities of each platform were examined. For
example, the Catapult system tracks over 100 indicators, including vertical load, peak speed,
heart rate zone, and fatigue index [2]. Hudl, in turn, enables the creation of detailed reports for
each game episode, recording passes, blocks, attacks, and error zones [3].
Examples of integrating these platforms into the practice of national teams and club
teams were studied, including the Poland national team, the USA national team, Zenit-Kazan
Volleyball Club, and NCAA university teams. It was noted, for instance, that the USA national
team actively uses VolleyMetrics to forecast game scenarios and optimize player positioning on
the court [4].
Modern studies focusing on the monitoring of training loads, injury prevention, and the
role of digital technologies in sports training were also analyzed.
Thus, the research methodology is based on an interdisciplinary approach that combines
principles of sports analytics, biomechanics, physiology, and information technology. The use of
qualitative content analysis made it possible to identify patterns in the application of digital
solutions in volleyball and to assess their impact on the effectiveness of the training process.
Research Results.
The analysis of modern analytical platforms and tracking systems
used in volleyball demonstrated their high effectiveness in monitoring athletes’ physical,
technical, and tactical performance indicators. Each of the systems reviewed performs unique
functions, complementing one another and together forming the foundation for a comprehensive
digital approach to team training.
The Catapult system enables the monitoring of key physical activity parameters of
volleyball players, including:
-
total number of jumps per training session or match;
-
height of each jump (average and maximum);
-
peak movement speed;
-
number of accelerations and decelerations;
-
subjective rating of perceived exertion (sRPE);
-
real-time heart rate monitoring (HR Live);
-
fatigue and recovery indicators (Fatigue Index, Recovery Load).
For example, reports from professional clubs using Catapult indicate that players whose
training load exceeds 1,200 GPS-Score units per session experience a sharp increase in the
likelihood of muscle micro-injuries [2]. The use of Catapult by the Polish national team and
several European clubs contributed to a 25% reduction in overuse injuries over the course of a
season [5].
The Hudl video platform offers coaches and analysts tools for:
-
post-game analysis with frame-by-frame breakdown of game episodes;
-
tagging errors in reception, serving, setting, and attacking actions;
-
developing tactical patterns of opponents based on analysis of previous matches;
-
assessing individual player actions within the context of team interactions.
449
ResearchBib IF - 11.01, ISSN: 3030-3753, Volume 2 Issue 7
The use of Hudl in NCAA university teams (USA) has improved the quality of video
training by 40% through visual feedback and automated match processing [3].
The Dartfish system is focused on improving players’ technical skills. It allows for:
-
analyzing the phase structure of movements (approach to serving, take-off, landing);
-
comparing the techniques of different athletes using the “video overlay” mode;
-
identifying subtle motor pattern disruptions that cannot be detected visually without slow-
motion analysis.
The use of Dartfish at the Lausanne Volleyball Academy (Switzerland) made it possible
to reduce the number of serving errors by 17% within a single training cycle [6].
The VolleyMetrics system by StatsPerform uses machine learning and artificial
intelligence (AI) algorithms to:
-
building team gameplay models;
-
predicting the effectiveness of player formations;
-
tracking player activity by court zones;
-
analyzing opponents’ strategies and identifying their weak points.
In the USA national team, VolleyMetrics is used not only for analyzing current matches
but also for long-term planning. According to FIVB reports, the system’s use has enabled the
team to adapt tactics in real time during matches, which has been a key factor in achieving
victories at international tournaments [7].
Thus, the analysis revealed that the use of tracking systems not only allows for objective
measurement of training loads but also enables personalized preparation. Video platforms
provide coaches with tools for rapid error diagnosis and strategy adjustment. The integration of
artificial intelligence and predictive analytics elevates volleyball to a qualitatively new level of
digital management in training and tactical planning. These findings underscore the high
relevance of digitalization in the training process and justify the need for its systematic
implementation in educational and sports practice.
Discussion.
The results of the analysis of modern digital solutions applied in volleyball
indicate significant changes in the structure and philosophy of the training process. The
integration of analytical platforms and tracking systems not only enriches the coaches’ toolkit
but also transforms the very approach to managing athlete preparation.
The traditional coaching model was predominantly based on intuition, personal
experience, visual assessment, and subjective observations. Today, thanks to technological
advancements, coaching staff have access to objective data on athletes’ physical condition,
technique, tactical actions, and readiness levels in real time. This enables more precise load
management, identification of potential overtraining risks, and informed decision-making
regarding training adjustments and recovery strategies.
Studies show that the use of GPS tracking and video surveillance systems contributes to a
30–40% reduction in injury risk by enabling the timely detection of fatigue factors and
biomechanical movement irregularities [8].
Digital feedback provided through video analytics, charts, and specialized applications
enhances athletes’ motivation and engagement. Players gain a deeper understanding of their
strengths and weaknesses, which fosters the development of self-regulation skills and
accountability for performance outcomes. Particularly effective is the use of error visualization
and comparative analysis of technical techniques.
450
ResearchBib IF - 11.01, ISSN: 3030-3753, Volume 2 Issue 7
The modern coach in team sports, including volleyball, increasingly assumes the roles of
data analyst and information manager. This shift necessitates that specialists acquire a new level
of digital literacy and develop skills in interpreting large volumes of data. New positions are
emerging within team structures, such as analysts responsible for data collection, processing, and
visualization [4]. As a result, we are witnessing not only the digitalization of processes but also a
transformation of the coach’s professional profile.
Despite the clear advantages, the widespread use of analytical platforms in volleyball
faces a few limitations.
Table
Barriers to the Implementation of Analytical Platforms
1
High cost of equipment and software licenses, which is particularly relevant for teams
from developing countries
2
Shortage of trained personnel with the competencies required to work with analytical
systems
3
Insufficient development of digital infrastructure and support at the level of sports
federations
4
Lack of comprehensive integration of digital technologies into university curricula and
coaching certification programs
As A. G. Sukharev notes, without systematic integration of digital solutions into the
educational process and continuous professional development of coaches, the effectiveness of
their application will be significantly limited.
In the coming years, the use of artificial intelligence (AI) and machine learning is
expected to increase for predicting game scenarios, automated scouting, and personalized
training. Such technologies are already being tested within the VolleyMetrics system and
research projects conducted by the International Volleyball Federation [7].
A promising direction is also the adaptation of existing solutions to meet the needs of
youth and junior teams through simplified interfaces and integration with educational platforms.
Thus, the digital transformation of volleyball training is experiencing sustained positive
momentum. However, its effectiveness depends on a comprehensive approach that includes
adequate financial support, targeted personnel training, and the overall digital maturity of the
sports environment.
Conclusions.
Analytical and tracking systems have fundamentally transformed the
methodological approaches to volleyball training. Their application facilitates a shift from
generalized training methods to a personalized model that helps reduce injury rates and enhance
overall athlete performance. The future development of volleyball training is intrinsically linked
to the systematic integration of digital technologies both into practical activities and educational
programs for coaching staff.
References
1.
Gabbett, T. J. (2021). Monitoring training load to understand fatigue in athletes.
Sports
Medicine, 51
(3), 351–358.
2.
Catapult
Sports.
(2024).
Elite
Volleyball
Case
Studies
.
Retrieved
from
https://www.catapultsports.com/blog/volleyball-performance
3.
Hudl Academy. (2023).
Using Hudl for Team and Individual Performance
. Retrieved from
451
ResearchBib IF - 11.01, ISSN: 3030-3753, Volume 2 Issue 7
4.
StatsPerform.
(2024).
VolleyMetrics
by
StatsPerform
.
Retrieved
from
https://www.statsperform.com/products/volleymetrics
5.
Drust, B., & Green, M. (2022). Technology in volleyball: Performance analysis and injury
prevention.
Journal of Sports Sciences, 40
(3), 301–308.
6.
Dartfish.
(2023).
Volleyball
Video
Analysis
Solutions
.
Retrieved
from
https://www.dartfish.com/solutions/sports/volleyball
7.
Fédération Internationale de Volleyball (FIVB). (2024).
FIVB Technical Report: Volleyball
Nations League 2024
. Retrieved from https://www.fivb.com/en/technical-reports
8.
Sukharev, A. G. (2022). Modern monitoring methods in team sports (pp. 112–126). Kazan:
KGIFK.
