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 al., 2003 ). Within-sport behavioral checklists ( Martin et al., 1997 ) and performance profiling ( Butler & Hardy, 1992 ) have resolved some issues that the conventional scales and across-sport behavioral inventories have in terms of applied relevance. For instance, within-sport behavioral checklists focus

sprinting velocity ( v max ). 2 Recently, profiling and monitoring of running economy (RE) and v max has seen increased interest in mechanical stiffness. Mechanical stiffness is defined as an expression of a systems compressibility during the application of force, such as ground interactions in running

 m during matches. 3 , 4 Thus, both anaerobic and aerobic proficiencies require attention for physical preparation. 5 , 6 Benchmarking and profiling of WR players requires reliable performance tests that provide a valid representation of the physical competencies specific to on-court performance

, psychological profiling or assessment can be used to facilitate and monitor the development of these characteristics and ultimately optimize talent development ( Hill et al., 2019 ; Rees et al., 2016 ). With such a psychological assessment, we refer to the structured and systematic measuring of psychological

profiles at senior compared with youth and academy standards, and all but 10-m sprint time were able to discriminate between youth, academy, and senior players. The proposed testing battery is sensitive and can differentiate anthropometric and physical profiles within positional groups between youth

modeling alternative—to this and other “variable-centered” approaches—is to consider all motivational regulations simultaneously within a “person-centered” approach. Person-centered analyses enable researchers to identify homogenous groups (or profiles) of participants according to patterns that they

variety of ways by different individuals. The person-centered approach allows for an evaluation of complex interactions among variables and the identification of how motivational strategies are organized at the within-person level. Specifically, the latent profile approach is used to identify subgroups of

relationships between people on the aforesaid interactions between needs-supportive and needs-controlling perceptions ( Myers, Ntoumanis, Gunnell, Gucciardi, & Lee, 2018 ). Using latent profile analysis (LPA), the interaction effects in Figure  1 are calculated in a mixture model to extract unobserved latent

demonstrated an inverse linear relationship exists between load and velocity (load–velocity profile [LVP]), meaning that if maximal effort is given for the concentric phase of a lift, heavier loads cannot be lifted with the same velocity as lighter loads. 4 – 8 Furthermore, if maximal concentric effort is

-related motivation among secondary school students ( Barkoukis, Ntoumanis, & Thogersen-Ntoumani, 2010 ; Ntoumanis, Barkoukis, & Thogersen-Ntoumani, 2009 ). Therefore, investigation on the relationship between student PE motivational profiles and student PE experiences will be beneficial to our understanding of the