Abstract: Athletic performance analysis, as an innovative frontier in sports science, is poised to drive the integration of competition and training systems in the three major team sports (soccer/football, basketball, and volleyball). This study employs bibliometric analysis to synthesize global research trajectories, core methodologies, and evolving priorities in this field. Findings indicate that domestic research remains limited in scope, predominantly focusing on football. Internationally, however, a mature research framework has emerged, structured around five key themes: match performance analytics and decision-making support, physical conditioning and holistic performance evaluation, individual-team interaction dynamics, sport-specific training design and optimization, and technological innovation and predictive modeling. Current advancements reveal three transformative trends: the shift from manual notation to multimodal sensor-based data acquisition, the expansion from isolated metrics to systemic interaction analysis, and the progression from descriptive statistics to predictive insights. These developments are paralleled by deepening theoretical foundations and heightened practical applicability. To advance the three major team sports in China, strategic adoption of global best practices should be tailored to domestic contexts, fostering a structured performance analysis ecosystem with localized characteristics. Crucially, a data-driven reverse feedback mechanism should be developed to translate multidimensional performance insights into targeted training adaptations. This proposed framework—integrating intelligent algorithms and real-time analytics—aims to establish a digital-intelligent paradigm for competition-training synergy, offering scalable technological solutions to accelerate the revitalization of the three major team sports in the country.