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Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Pitchers? Analysis of Statistical Variability in Healthy Players
BACKGROUND: Basic pitcher statistics have been used to assess performance in pitchers after injury or surgery without being validated. Even among healthy pitchers, the normal variability of these parameters has not yet been established. PURPOSE: To determine (1) the normal variability of basic and a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607485/ https://www.ncbi.nlm.nih.gov/pubmed/34820461 http://dx.doi.org/10.1177/23259671211050933 |
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author | Pareek, Ayoosh Parkes, Chad W. Leontovich, Alexey A. Krych, Aaron J. Conte, Stan Steubs, John A. Wulf, Corey A. Camp, Christopher L. |
author_facet | Pareek, Ayoosh Parkes, Chad W. Leontovich, Alexey A. Krych, Aaron J. Conte, Stan Steubs, John A. Wulf, Corey A. Camp, Christopher L. |
author_sort | Pareek, Ayoosh |
collection | PubMed |
description | BACKGROUND: Basic pitcher statistics have been used to assess performance in pitchers after injury or surgery without being validated. Even among healthy pitchers, the normal variability of these parameters has not yet been established. PURPOSE: To determine (1) the normal variability of basic and advanced pitcher statistics in healthy professional baseball pitchers and (2) the minimum pitches needed to predict these parameters. STUDY DESIGN: Cross-sectional study; Level of evidence, 3. METHODS: Publicly available data from the MLB Statcast and PITCHf/x databases were used to analyze MLB pitchers during the 2015 and 2016 seasons who recorded a minimum of 100 innings without injury. Basic and advanced baseball pitcher statistics were analyzed. The variability of each parameter was assessed by computing the coefficient of variation (CV) between individual pitchers and across all pitchers. A CV <10 was indicative of a relatively constant parameter, and parameters with a CV >10 were generally considered inconsistent and unreliable. The minimum number of pitches needed to be followed for each variable was also analyzed. RESULTS: A total of 118 pitchers, 55 baseball-specific statistical metrics (38 basic and 17 advanced), and 7.5 million pitches were included and analyzed. Of the 38 basic pitcher statistics, only fastball velocity demonstrated a CV <10 (CV = 1.5), while 6 of 17 (35%) advanced metrics demonstrated acceptable consistency (CV <10). Release position from plate and velocity from the plate were the 2 most consistent advanced parameters. When separated by pitch type, these 2 parameters were the most constant (lowest CV) across every pitch type. CONCLUSION: We recommend against utilizing nonvalidated statistical measures to assess performance after injury, as they demonstrated unacceptably high variability even among healthy, noninjured professional baseball pitchers. It is our hope that this study will serve as the foundation for the identification and implementation of validated pitcher-dependent statistical measures that can be used to assess return-to-play performance after injury in the future. |
format | Online Article Text |
id | pubmed-8607485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-86074852021-11-23 Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Pitchers? Analysis of Statistical Variability in Healthy Players Pareek, Ayoosh Parkes, Chad W. Leontovich, Alexey A. Krych, Aaron J. Conte, Stan Steubs, John A. Wulf, Corey A. Camp, Christopher L. Orthop J Sports Med Article BACKGROUND: Basic pitcher statistics have been used to assess performance in pitchers after injury or surgery without being validated. Even among healthy pitchers, the normal variability of these parameters has not yet been established. PURPOSE: To determine (1) the normal variability of basic and advanced pitcher statistics in healthy professional baseball pitchers and (2) the minimum pitches needed to predict these parameters. STUDY DESIGN: Cross-sectional study; Level of evidence, 3. METHODS: Publicly available data from the MLB Statcast and PITCHf/x databases were used to analyze MLB pitchers during the 2015 and 2016 seasons who recorded a minimum of 100 innings without injury. Basic and advanced baseball pitcher statistics were analyzed. The variability of each parameter was assessed by computing the coefficient of variation (CV) between individual pitchers and across all pitchers. A CV <10 was indicative of a relatively constant parameter, and parameters with a CV >10 were generally considered inconsistent and unreliable. The minimum number of pitches needed to be followed for each variable was also analyzed. RESULTS: A total of 118 pitchers, 55 baseball-specific statistical metrics (38 basic and 17 advanced), and 7.5 million pitches were included and analyzed. Of the 38 basic pitcher statistics, only fastball velocity demonstrated a CV <10 (CV = 1.5), while 6 of 17 (35%) advanced metrics demonstrated acceptable consistency (CV <10). Release position from plate and velocity from the plate were the 2 most consistent advanced parameters. When separated by pitch type, these 2 parameters were the most constant (lowest CV) across every pitch type. CONCLUSION: We recommend against utilizing nonvalidated statistical measures to assess performance after injury, as they demonstrated unacceptably high variability even among healthy, noninjured professional baseball pitchers. It is our hope that this study will serve as the foundation for the identification and implementation of validated pitcher-dependent statistical measures that can be used to assess return-to-play performance after injury in the future. SAGE Publications 2021-11-18 /pmc/articles/PMC8607485/ /pubmed/34820461 http://dx.doi.org/10.1177/23259671211050933 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Article Pareek, Ayoosh Parkes, Chad W. Leontovich, Alexey A. Krych, Aaron J. Conte, Stan Steubs, John A. Wulf, Corey A. Camp, Christopher L. Are Baseball Statistics an Appropriate Tool for Assessing Return to Play in Injured Pitchers? Analysis of Statistical Variability in Healthy Players |
title | Are Baseball Statistics an Appropriate Tool for Assessing Return to
Play in Injured Pitchers? Analysis of Statistical Variability in Healthy
Players |
title_full | Are Baseball Statistics an Appropriate Tool for Assessing Return to
Play in Injured Pitchers? Analysis of Statistical Variability in Healthy
Players |
title_fullStr | Are Baseball Statistics an Appropriate Tool for Assessing Return to
Play in Injured Pitchers? Analysis of Statistical Variability in Healthy
Players |
title_full_unstemmed | Are Baseball Statistics an Appropriate Tool for Assessing Return to
Play in Injured Pitchers? Analysis of Statistical Variability in Healthy
Players |
title_short | Are Baseball Statistics an Appropriate Tool for Assessing Return to
Play in Injured Pitchers? Analysis of Statistical Variability in Healthy
Players |
title_sort | are baseball statistics an appropriate tool for assessing return to
play in injured pitchers? analysis of statistical variability in healthy
players |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607485/ https://www.ncbi.nlm.nih.gov/pubmed/34820461 http://dx.doi.org/10.1177/23259671211050933 |
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