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Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games

The aim of this study was to analyze the game-related statistics and tactical profile in winning and losing teams in NCAA division I men’s basketball games. Twenty NCAA division I men’s basketball close (score difference: 1-9 points) games were analyzed during the 2013/14 season. For each game, the...

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Autores principales: Conte, Daniele, Tessitore, Antonio, Gjullin, Aaron, Mackinnon, Dominik, Lupo, Corrado, Favero, Terence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Institute of Sport in Warsaw 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234313/
https://www.ncbi.nlm.nih.gov/pubmed/30455541
http://dx.doi.org/10.5114/biolsport.2018.71602
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author Conte, Daniele
Tessitore, Antonio
Gjullin, Aaron
Mackinnon, Dominik
Lupo, Corrado
Favero, Terence
author_facet Conte, Daniele
Tessitore, Antonio
Gjullin, Aaron
Mackinnon, Dominik
Lupo, Corrado
Favero, Terence
author_sort Conte, Daniele
collection PubMed
description The aim of this study was to analyze the game-related statistics and tactical profile in winning and losing teams in NCAA division I men’s basketball games. Twenty NCAA division I men’s basketball close (score difference: 1-9 points) games were analyzed during the 2013/14 season. For each game, the game-related statistics were collected from the official teams’ box scores. Number of ball possessions, offensive and defensive ratings and the Four Factors (effective field goal percentage; offensive rebounding percentage, recovered balls per ball possession, free throw rate) were also calculated. The tactical parameters evaluated were: ball reversal, dribble in key area, post entry, on-ball screen, off-ball screen, and hand off. Differences between winning and losing teams were calculated using a magnitude-based approach. Winning teams showed a likely higher percentage of 3-point goals made, number of defensive rebounds and steals and a very likely higher number of free throws made and free throws attempted. Furthermore, winning teams showed a likely higher team offensive rating and effective field goal percentage and a very likely higher free throw rate compared to losing teams. Finally, the results revealed a likely higher number of ball reversals and post entries in winning teams compared to losing teams. This study highlighted the game-related statistics and the tactical actions differentiating between winning and losing teams in NCAA Division I men’s basketball close games. Coaches should use these results to optimize their training sessions, focusing on those variables that might increase the possibility to win close games.
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spelling pubmed-62343132018-11-19 Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games Conte, Daniele Tessitore, Antonio Gjullin, Aaron Mackinnon, Dominik Lupo, Corrado Favero, Terence Biol Sport Original Paper The aim of this study was to analyze the game-related statistics and tactical profile in winning and losing teams in NCAA division I men’s basketball games. Twenty NCAA division I men’s basketball close (score difference: 1-9 points) games were analyzed during the 2013/14 season. For each game, the game-related statistics were collected from the official teams’ box scores. Number of ball possessions, offensive and defensive ratings and the Four Factors (effective field goal percentage; offensive rebounding percentage, recovered balls per ball possession, free throw rate) were also calculated. The tactical parameters evaluated were: ball reversal, dribble in key area, post entry, on-ball screen, off-ball screen, and hand off. Differences between winning and losing teams were calculated using a magnitude-based approach. Winning teams showed a likely higher percentage of 3-point goals made, number of defensive rebounds and steals and a very likely higher number of free throws made and free throws attempted. Furthermore, winning teams showed a likely higher team offensive rating and effective field goal percentage and a very likely higher free throw rate compared to losing teams. Finally, the results revealed a likely higher number of ball reversals and post entries in winning teams compared to losing teams. This study highlighted the game-related statistics and the tactical actions differentiating between winning and losing teams in NCAA Division I men’s basketball close games. Coaches should use these results to optimize their training sessions, focusing on those variables that might increase the possibility to win close games. Institute of Sport in Warsaw 2017-11-23 2018-06 /pmc/articles/PMC6234313/ /pubmed/30455541 http://dx.doi.org/10.5114/biolsport.2018.71602 Text en Copyright © Biology of Sport 2018 http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Paper
Conte, Daniele
Tessitore, Antonio
Gjullin, Aaron
Mackinnon, Dominik
Lupo, Corrado
Favero, Terence
Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games
title Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games
title_full Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games
title_fullStr Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games
title_full_unstemmed Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games
title_short Investigating the game-related statistics and tactical profile in NCAA division I men’s basketball games
title_sort investigating the game-related statistics and tactical profile in ncaa division i men’s basketball games
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234313/
https://www.ncbi.nlm.nih.gov/pubmed/30455541
http://dx.doi.org/10.5114/biolsport.2018.71602
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