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Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings

Several studies have investigated factors influencing baseball pitching velocity. However, some measurements require expensive equipment, and some tests need familiarity to perform well. In this study, we adopted field tests executed using affordable equipment in a tryout event for a professional ba...

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Autores principales: Huang, Jyh How, Chen, Szu-Hua, Chiu, Chih Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929570/
https://www.ncbi.nlm.nih.gov/pubmed/35298532
http://dx.doi.org/10.1371/journal.pone.0265525
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author Huang, Jyh How
Chen, Szu-Hua
Chiu, Chih Hui
author_facet Huang, Jyh How
Chen, Szu-Hua
Chiu, Chih Hui
author_sort Huang, Jyh How
collection PubMed
description Several studies have investigated factors influencing baseball pitching velocity. However, some measurements require expensive equipment, and some tests need familiarity to perform well. In this study, we adopted field tests executed using affordable equipment in a tryout event for a professional baseball team in Taiwan, 2019. We use half day to test 64 players, and the result of measurement are used to develop a model for predicting pitching velocity of amateur adult pitchers (age: 23.9 ± 2.8 years; height: 180.3 ± 5.9 cm; weight: 81.4 ± 10.9 kg). The measurements and tests in tryout settings should be easy to implement, take short time, do not need high skill levels, and correlate to the pitching velocity. The outcome measures included maximum external shoulder rotation, maximum internal shoulder rotation, countermovement jump (CMJ) height, 20-kg loaded CMJ height, 30-m sprint time, height, age, and weight tests. Multiple regression indicated a moderate correlation between these tests and pitching velocity (adjusted R(2) = 0.230, p = 0.0003). Among the measures, the ratio of loaded CMJ to CMJ, ratio of first 10-m sprint time to 30-m sprint time, and height were significant contributors to pitching velocity. Overall, these measures explained 23% of the variance in the predicted pitching velocity. These field tests can be adopted in tryout events to predict a prospect’s potential and to identify underestimated players. Coaches can obtain an expectation of a pitcher’s performance by comparing his pitching velocity with the predicted value derived from the statistical model presented herein, and the room of growth by comparing his current strength to average strength growth after being drafted and trained with professional coaches.
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spelling pubmed-89295702022-03-18 Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings Huang, Jyh How Chen, Szu-Hua Chiu, Chih Hui PLoS One Research Article Several studies have investigated factors influencing baseball pitching velocity. However, some measurements require expensive equipment, and some tests need familiarity to perform well. In this study, we adopted field tests executed using affordable equipment in a tryout event for a professional baseball team in Taiwan, 2019. We use half day to test 64 players, and the result of measurement are used to develop a model for predicting pitching velocity of amateur adult pitchers (age: 23.9 ± 2.8 years; height: 180.3 ± 5.9 cm; weight: 81.4 ± 10.9 kg). The measurements and tests in tryout settings should be easy to implement, take short time, do not need high skill levels, and correlate to the pitching velocity. The outcome measures included maximum external shoulder rotation, maximum internal shoulder rotation, countermovement jump (CMJ) height, 20-kg loaded CMJ height, 30-m sprint time, height, age, and weight tests. Multiple regression indicated a moderate correlation between these tests and pitching velocity (adjusted R(2) = 0.230, p = 0.0003). Among the measures, the ratio of loaded CMJ to CMJ, ratio of first 10-m sprint time to 30-m sprint time, and height were significant contributors to pitching velocity. Overall, these measures explained 23% of the variance in the predicted pitching velocity. These field tests can be adopted in tryout events to predict a prospect’s potential and to identify underestimated players. Coaches can obtain an expectation of a pitcher’s performance by comparing his pitching velocity with the predicted value derived from the statistical model presented herein, and the room of growth by comparing his current strength to average strength growth after being drafted and trained with professional coaches. Public Library of Science 2022-03-17 /pmc/articles/PMC8929570/ /pubmed/35298532 http://dx.doi.org/10.1371/journal.pone.0265525 Text en © 2022 Huang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Huang, Jyh How
Chen, Szu-Hua
Chiu, Chih Hui
Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
title Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
title_full Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
title_fullStr Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
title_full_unstemmed Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
title_short Correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
title_sort correlation of pitching velocity with anthropometric measurements for adult male baseball pitchers in tryout settings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929570/
https://www.ncbi.nlm.nih.gov/pubmed/35298532
http://dx.doi.org/10.1371/journal.pone.0265525
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