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Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers
The aim of the present study was to analyze the changes of game-related statistics in expert players across their whole sports careers. From an initial sample including 252 professional basketball players competing in Spanish first division basketball league (ACB) in the 2017–2018 season, 22 met the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400965/ https://www.ncbi.nlm.nih.gov/pubmed/30873096 http://dx.doi.org/10.3389/fpsyg.2019.00421 |
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author | Lorenzo, Jorge Lorenzo, Alberto Conte, Daniele Giménez, Mario |
author_facet | Lorenzo, Jorge Lorenzo, Alberto Conte, Daniele Giménez, Mario |
author_sort | Lorenzo, Jorge |
collection | PubMed |
description | The aim of the present study was to analyze the changes of game-related statistics in expert players across their whole sports careers. From an initial sample including 252 professional basketball players competing in Spanish first division basketball league (ACB) in the 2017–2018 season, 22 met the inclusion criteria. The following game-related statistics were studied: average points, assist, rebounds (all normalized by minute played), 3-point field goals percentage, 2-point field goals percentage, and free throws percentage per season. Each variable was individually investigated with a customized excel spreadsheet assessing individual variations and career trends were calculated. The results showed a positive trend in most of the investigated players in assists (91% of cases) and free throw percentages (73% of cases). Similar percentages of positive and negative trends were observed for all the other game-related statistics (range: 41–59% for negative and positive, respectively). In conclusion, an increase in assist and free throw performance was shown in the investigated players across their playing career. This information is essential for basketball coaches suggesting the use of most experienced players in the final moments of the game. |
format | Online Article Text |
id | pubmed-6400965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64009652019-03-14 Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers Lorenzo, Jorge Lorenzo, Alberto Conte, Daniele Giménez, Mario Front Psychol Psychology The aim of the present study was to analyze the changes of game-related statistics in expert players across their whole sports careers. From an initial sample including 252 professional basketball players competing in Spanish first division basketball league (ACB) in the 2017–2018 season, 22 met the inclusion criteria. The following game-related statistics were studied: average points, assist, rebounds (all normalized by minute played), 3-point field goals percentage, 2-point field goals percentage, and free throws percentage per season. Each variable was individually investigated with a customized excel spreadsheet assessing individual variations and career trends were calculated. The results showed a positive trend in most of the investigated players in assists (91% of cases) and free throw percentages (73% of cases). Similar percentages of positive and negative trends were observed for all the other game-related statistics (range: 41–59% for negative and positive, respectively). In conclusion, an increase in assist and free throw performance was shown in the investigated players across their playing career. This information is essential for basketball coaches suggesting the use of most experienced players in the final moments of the game. Frontiers Media S.A. 2019-02-27 /pmc/articles/PMC6400965/ /pubmed/30873096 http://dx.doi.org/10.3389/fpsyg.2019.00421 Text en Copyright © 2019 Lorenzo, Lorenzo, Conte and Giménez. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Lorenzo, Jorge Lorenzo, Alberto Conte, Daniele Giménez, Mario Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers |
title | Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers |
title_full | Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers |
title_fullStr | Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers |
title_full_unstemmed | Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers |
title_short | Long-Term Analysis of Elite Basketball Players’ Game-Related Statistics Throughout Their Careers |
title_sort | long-term analysis of elite basketball players’ game-related statistics throughout their careers |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400965/ https://www.ncbi.nlm.nih.gov/pubmed/30873096 http://dx.doi.org/10.3389/fpsyg.2019.00421 |
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