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Badminton is a dynamic racket sport that demands high levels of technical precision, tactical awareness, physical endurance, and psychological resilience. Performance analysis in badminton has emerged as a critical research area, helping coaches, analysts, and players identify strengths, weaknesses, and areas for improvement. This review synthesizes existing literature on performance evaluation methods, with a focus on technical skills (stroke accuracy, footwork, and shot selection), tactical strategies (game patterns, decision making, and opponent exploitation), physical metrics (aerobic capacity, agility, and strength), psychological aspects (motivation, focus, and stress management), and match-related parameters (scoring patterns and rally dynamics). The study highlights the integration of modern technologies such as motion capture systems,
video-based notational analysis, wearable sensors, and machine learning algorithms for objective assessment. Furthermore, the review discusses gaps in current research, including the need for standardized evaluation
frameworks and the limited exploration of psychological and cognitive metrics. By consolidating diverse
findings, this review provides a foundation for developing holistic performance analysis models that can
enhance player development, optimize training programs, and support evidence-based decision-making in
badminton.