SHOOTING: Journal of Sport, Health, and Education

The Relationship Between Sleep Quality, Heart Rate Variability (HRV), and Elite Athlete Performance: A Longitudinal Study During One Competitive Season

2026-06-07T19:34:24+08:00

Effectiveness of Wearable Technology-Based High-Intensity Interval Training (HIIT) on Improving Aerobic Capacity and Recovery in Young Athletes

2026-06-07T19:31:13+08:00

Biomechanical Analysis of Movement and Knee Injury Risk in Football Athletes Using Three-Dimensional Motion Capture System

2026-06-07T19:27:37+08:00

Knee injuries represent one of the most prevalent and debilitating musculoskeletal conditions affecting football athletes worldwide. This study aimed to analyze the biomechanics of lower extremity movement and quantify knee injury risk in football athletes using a three-dimensional (3D) motion capture system. A total of 30 male football athletes from the Faculty of Sports and Health Sciences, Universitas Negeri Makassar, were recruited as participants (mean age: 20.4 ± 1.8 years; mean height: 170.2 ± 4.6 cm; mean body mass: 65.3 ± 5.2 kg). Kinematic and kinetic data were collected during standardized football-specific tasks including running, cutting maneuver, and single-leg landing using the Vicon motion capture system (10 cameras, 200 Hz) integrated with force plates. Key biomechanical parameters including knee valgus angle, knee flexion angle, ground reaction force, and valgus knee moment were analyzed. Results demonstrated that during cutting maneuvers, athletes exhibited peak knee valgus angles of 12.7 ± 3.4° and peak knee flexion angles of 42.3 ± 6.8°. Ground reaction forces reached 2.8 ± 0.4 times body weight during single-leg landing tasks. Knee abduction moment values averaged 0.34 ± 0.09 Nm/kg during cutting tasks, a value associated with elevated anterior cruciate ligament (ACL) injury risk. Significant correlations were found between knee valgus angle and knee abduction moment (r = 0.78, p < 0.001). These findings provide important baseline biomechanical data for developing targeted injury prevention programs for football athletes in the Indonesian context and underscore the clinical utility of 3D motion capture technology in sports science research. (Cedera lutut merupakan salah satu kondisi muskuloskeletal yang paling umum pada atlet sepak bola. Studi ini menganalisis biomekanika gerak ekstremitas bawah dan risiko cedera lutut menggunakan sistem motion capture 3D

Sport Analytics in Tactical Decision-Making: Integration of GPS Data, Player Tracking, and Artificial Intelligence in Football

2026-06-08T09:13:39+08:00

The rapid development of sports technology has fundamentally transformed how football clubs analyze performance and make tactical decisions. This study investigates the integration of Global Positioning System (GPS) data, player tracking technology, and artificial intelligence (AI) in supporting tactical decision-making in professional football. Conducted at the Faculty of Sports and Health Sciences, Universitas Negeri Makassar, this research employed a mixed-method approach involving quantitative analysis of player movement data and qualitative examination of coaches' tactical interpretations. Data were collected from 22 active football players monitored across 12 competitive matches using GPS wearable devices and optical tracking cameras, supplemented by semi-structured interviews with five certified football coaches. The findings reveal that the implementation of integrated sport analytics significantly improved tactical decision-making accuracy by 34.7%, increased player high-intensity distance coverage by an average of 18.3% across measured sessions, and reduced coach decision-making time by approximately 27.5% during halftime intervals. The AI-powered predictive models demonstrated 82.4% accuracy in anticipating opposing team formations. These results confirm that the convergence of GPS technology, player tracking systems, and machine learning algorithms provides a powerful analytical framework that enhances both individual player assessment and team tactical management in football. The study concludes that sport analytics represents an indispensable component of modern football management and provides evidence-based recommendations for Indonesian football institutions seeking to adopt data-driven approaches

Effectiveness of Tactical Games Approach in Badminton Learning: A Systematic Review on Motor Skill Development in Physical Education

2026-06-08T10:11:21+08:00

The Tactical Games Approach (TGA) has emerged as a prominent instructional framework in physical education, particularly in the context of game-based sports such as badminton. This systematic review examined the effectiveness of TGA in developing motor skills among students in physical education settings. A comprehensive literature search was conducted across multiple electronic databases, including Scopus, Web of Science, ERIC, and Google Scholar, covering publications from 2020 to 2024. A total of 28 studies met the inclusion criteria and were subjected to thematic analysis. The findings revealed that TGA significantly enhanced students' motor skill acquisition in badminton, encompassing both technical execution and tactical decision-making. Furthermore, TGA was found to foster greater student engagement, intrinsic motivation, and transfer of learning compared to traditional drill-based instruction. Contextual factors such as class size, instructional duration, and teacher pedagogical competence were identified as moderating variables. The review concludes that TGA represents a pedagogically sound and evidence-based approach to badminton instruction in physical education, with implications for curriculum design and teacher professional development