Search Results - Sport Performance & Science Reports
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Are you as tired as I am? Mental fatigue perception in female Australian rules football athletes over a season: The influence of personality
Wirtz, S., Huynh, M., Smith, M., Webster, K. E., MacMahon, C.Published in International Journal of Sports Physiology and Performance (2025)“…Purpose: Research on mental fatigue and its impact on sport performance has gained significant attention in sport science. …”
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Based on science a systematic review of study methodologies investigating performance in 15 s Rugby women student-athletes: the impact of sex
Rishiraj, N., Prasad, N., Blair, M., Timmins, B.Published in Sport Sciences for Health (2025)“…Purpose Researchers have suggested that most sports science data have been derived from studies with men as participants, reducing the application of these data to women athletes due to physiological differences between the sexes. …”
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The applied sport science and medicine of powerlifting and para powerlifting: a systematic scoping review with recommendations for future research
Silverthorne, K., Morrison, M., Cowley, N., Munteanu, G., Creaby, M. W., Timmins, R. G., Chiang, C.-Y., Weakley, J.Published in Sports Medicine (2025)“…Conclusion: This scoping review summarises the current literature investigating powerlifting and para powerlifting and can be used to enhance the applied sport science and medicine within the sports. While the amount of research has grown considerably in recent years, it is evident that certain demographics and areas remain under-investigated (e.g., injury mechanisms) or warrant updated examination (e.g., the prevalence of performance-enhancing drug use, which was last reported in 2003 and is currently unknown). …”
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Playing style identification in team sports: a systematic review from statistical dimensionality reduction to unsupervised machine learning
Gu, L., Wang, W., Plakias, S., Zhang, S.Published in International Journal of Sports Science & Coaching (2025)“…Identifying team playing styles is crucial for tactical planning, player recruitment, and performance optimization in team sports. With the increasing availability of match sheet, event, and tracking data, statistical dimensionality reduction and unsupervised machine learning (UML) have become valuable for uncovering hidden patterns in collective behaviours. …”
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