“…In contrast, sport movements that require low forces and/or torques at low velocities and/or require a high degree of technical (e.g., movement coordination, sequencing, and timing) precision and accuracy are poorly predicted by measuring HGS (Cronin et al, 2017). Sports movements that are not predicted by measuring HGS include, but are not limited to, baseball batting average (Fry et al, 2011;Mangine et al, 2013), basketball points, assists, and blocks per game (McGill et al, 2012), bowling scores (Tan et al, 2001), cricket spin-off/bowling score (Amritashish & Shiny, 2015), ice hockey shot accuracy (Alexander et al, 1963), number of throws and attacks in a judo match (Franchini et al, 2005), racquetball success (Layton & DeBeliso, 2017), and field hockey slalom sprint and dribble tests (Sharma et al, 2012;Wassmer & Mookerjee, 2002), to name a few. HGS can also predict training experience/training and can help a practitioner delineate subelite from elite athletes as well as predict athlete's that will have successful performances versus those who will not be successful in their respective sports (Cronin et al, 2017).…”