Android-Based Mobile Analytics for Performance Evaluation in Petanque Shooting: A Systematic Review

DOI

10.2991/978-2-38476-591-1_7How to use a DOI?

Keywords

Petanque shooting; Android-based applications; performance analysis; mobile sports analytics; real-time tracking; artificial intelligence; sport technology; data visualization; systematic review; PRISMA framework

Abstract

This study systematically examines recent trends and technological advancements in Android-based digital tools for performance analysis in petanque shooting events. Employing a systematic review design guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, relevant literature was retrieved from major academic databases, including Scopus, Web of Science, Google Scholar, and IEEE Xplore. The search strategy incorporated keywords such as “Android application,” “performance analysis,” “petanque shooting,” and “mobile sports analytics.” The inclusion criteria targeted peer-reviewed studies published between 2015 and 2025 that focus on mobile-assisted performance evaluation in sports contexts. Following a rigorous screening and eligibility process, 12 studies were retained for qualitative synthesis. The findings demonstrate that Android-based applications are increasingly utilized for automated match recording, real-time performance monitoring, and interactive data visualization. These technologies contribute to enhanced decision-making processes, objective performance evaluation, and improved athlete feedback mechanisms. Nevertheless, the analysis reveals a significant research gap in sport-specific applications for petanque shooting, indicating limited domain-specific innovation compared to other precision sports. Furthermore, emerging trends highlight the integration of artificial intelligence, machine learning algorithms, and real-time analytics to improve predictive accuracy and performance optimization [1], [2]. The application of mobile-based analytics platforms has also been shown to enhance coaching effectiveness and athlete development through data-driven insights [3]. Despite these advancements, challenges remain in terms of system validation, usability, and sport-specific customization. This review provides a critical foundation for the development of intelligent, Android-based performance analysis systems tailored to petanque. It also contributes to the broader field of sport science by emphasizing the role of digital innovation in enhancing training methodologies, performance assessment, and sports education. Future research should prioritize the design of context-specific applications, integration of sensor-based technologies, and empirical validation to ensure reliability and scalability in competitive environments.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ibrahim Ibrahim
AU  - Rahmi Aulia
AU  - Nur Khalilah Harahap
AU  - Andesh Martua Harahap
PY  - 2026
DA  - 2026/06/24
TI  - Android-Based Mobile Analytics for Performance Evaluation in Petanque Shooting: A Systematic Review
BT  - Proceedings of the 2nd International Conference of Sport Science, Sport Coaching Science, and Physical Education, and Recreation 2025 (ICOSSCOPER 2025)
PB  - Atlantis Press
SP  - 73
EP  - 83
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-591-1_7
DO  - 10.2991/978-2-38476-591-1_7
ID  - Ibrahim2026
ER  -