Pitch release speed predictors for division I collegiate baseball players

Autor:	Zach Farrel, Adam R. Cocco, Elisabeth J. Dichiara, Paul C. Jones, Ben C. Skutnik, Ryan L. Crotin, Ernie Rimer, Pat Ivey, John F. Caruso
Rok vydání:	2023
Předmět:	Biophysics Physical Therapy Sports Therapy and Rehabilitation Orthopedics and Sports Medicine
Zdroj:	Isokinetics and Exercise Science. :1-10
ISSN:	1878-5913 0959-3020
Popis:	BACKGROUND: Analytics, to quantify baseball pitch metrics, take on many forms and are unlike earlier methods to assess performance. OBJECTIVE: Quantify associations of flight kinematic and anthropometric variables on pitch release speed. METHODS: Male college-age pitchers (n= 182) from 2021 Division I games provided data. A 3D radar system collected data. Fixed effects regression OLS models analyzed data for sliders, changeups, curveballs, and fastballs. RESULTS: Spin rate (r= 0.017–0.514, p< 0.05) and vertical break (r= 0.374–0.703, p< 0.05) were positively associated with pitch release speed per pitch type. Release height (r=-0.286–0.051, p
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3d954613170b58f23d48aa84050611e8 https://doi.org/10.3233/ies-220133 Zobrazit plný text záznamu