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relationship to several variables on a weekly basis across an entire season of elite National Collegiate Athletic Association (NCAA) Division I male basketball players. The T/C data did appear to track the peak-taper cycles (i.e., structured reduction in training load and volume to optimize recovery) of the

patterns, muscular requirements, and kinematics output during resistance training programs. Resistance training loads are often prescribed based on relative intensities of the one-repetition maximum (1RM; González-Badillo et al., 2011 ). Nevertheless, their regular assessment is not always possible due to

-lockdown period (i.e., 8–10 weeks) may have helped to readjust training loads and intensities. Finally, body composition variables were obtained using skinfolds measures, which are, to the authors’ knowledge, not the gold standard ( Sutton et al., 2009 ). Conclusion The present results indicate that the

in Weeks 1 and 2, followed by a more rigid surface (i.e., concrete) in Weeks 3–6 ( Ramírez-Campillo et al., 2013 ). Detailed information regarding the weekly training load and progression that was used is provided in Table  2 . In addition, a minimum of three participants from the DJ group were asked

provides match and training load concepts for nonjumping metrics that may provide a better concept for overall volume of volleyball players regardless of position. While KE volume followed a similar pattern as jump count, MPM did not. Future research should consider including further evaluation of the

rapid escalation in their regular training loads involving hard runs, exceeding their acute chronic work ratio by 1.5, may elevate their vulnerability to soft tissue injuries ( Malone et al., 2018 ). Acute chronic work ratio is the ratio of 1 week’s workload (acute workload) to a 4-week average acute

increase in performance was experienced during some phase of the MC or HC Age (years) 0.994 [0.968, 1.020] R 2 : −.006 1.008 [0.984, 1.031] R 2 : .008 Body mass index (kg/m 2 ) 1.000 [0.945, 1,057] R 2 : <.001 0.988 [0.937, 1.042] R 2 : −.12 Yearly training load (hr) 1.000 [1.000, 1.001] R 2 : <.001 1

, at the elite level, will present similarly high levels of strength and speed capabilities. This is mainly due to the similar training loads involved in the specialized training for both sports in the process of shaping motor predispositions and skills. (c) The accuracy of using the CMJ test in

understanding of how nutrition affects energy production ( Heaney et al., 2011 ; Trakman et al., 2016 ). Furthermore, future research may also consider the impact of unintentional low EI caused by postexercise appetite suppression ( Howe et al., 2016 ) increased training load, and associations with players