Improving Practice and Performance in Basketball

• Auteur principal: Scanlan, Aaron (auth)
• Autres auteurs: Dalbo, Vincent (auth)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Sujets: Traditional medicine & herbal remedies; n/a; talent selection; classification tree; Movement Assessment Battery for Children-2; NBA; basketball; maturation; body composition; fatigue; countermovement jump; athletic performance; circadian rhythm; injury; basketball tactics; female; athlete; non-linear analysis; monitoring; basketball performance; performance analysis; training load; variability; game-related statistics; sleep; youth athletes; accelerometer; women athletes; fat free mass; collegiate athletes; workloads; team sports; machine learning; microtechnology; motor manual sequences; elite sport; attention; visuo-spatial working memory; playing position; smallest worthwhile change; body fat
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication

Despite being one of the most popular sports worldwide, basketball has received limited research attention compared to other team sports. Establishing a strong evidence base with high-quality and impactful research is essential in enhancing decision-making processes to optimize player performance fo...