Efficiency and productivity evaluation of basketball players' performance

Abstract Aim: Basketball players' performances have been traditionally summarized in indices that rely on the game-related statistics (e.g. rebounds, field goals, etc). Indices are defined according to different methods (e.g. Efficiency Index - Ei, Plus-Minus, Wins Produced), seeking distinct analytic objectives. Ei is frequently used given its simplicity. However, it has questionable validity since it measures productivity instead of efficiency and uses biased calculations for scoring. This study aimed to define indices of efficiency (Basketball Efficiency Index (BEi)) and productivity (Basketball Productivity Index (BPi)) of a player's contribution to the team performance with greater validity than Ei. Methods: We gathered public NBA game-related statistics (2014/2015 – 2018/2019). We analyzed: Ei's and BEi's winning prediction accuracy; Ei's and BEi's point spread prediction accuracy; the correlation between GRS and Ei, BEi, BPi, and PER; players' rank correlation between indices. Results: In comparison to Ei, both BEi and BPi reduced the weight of points scored on the final value. Less reliance on points scored results in a more accurate comparison of the contribution of players independent of their tactical roles. Conclusion: These indices may improve coaches' understanding of the real contribution of each player to team performance.

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Main Authors: Senatore,José Vitor, Fellingham,Gilbert, Lamas,Leonardo
Format: Digital revista
Language:English
Published: Universidade Estadual Paulista 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-65742022000101609
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spelling oai:scielo:S1980-657420220001016092022-08-22Efficiency and productivity evaluation of basketball players' performanceSenatore,José VitorFellingham,GilbertLamas,Leonardo box-score NBA discrete data game-related statistics index Abstract Aim: Basketball players' performances have been traditionally summarized in indices that rely on the game-related statistics (e.g. rebounds, field goals, etc). Indices are defined according to different methods (e.g. Efficiency Index - Ei, Plus-Minus, Wins Produced), seeking distinct analytic objectives. Ei is frequently used given its simplicity. However, it has questionable validity since it measures productivity instead of efficiency and uses biased calculations for scoring. This study aimed to define indices of efficiency (Basketball Efficiency Index (BEi)) and productivity (Basketball Productivity Index (BPi)) of a player's contribution to the team performance with greater validity than Ei. Methods: We gathered public NBA game-related statistics (2014/2015 – 2018/2019). We analyzed: Ei's and BEi's winning prediction accuracy; Ei's and BEi's point spread prediction accuracy; the correlation between GRS and Ei, BEi, BPi, and PER; players' rank correlation between indices. Results: In comparison to Ei, both BEi and BPi reduced the weight of points scored on the final value. Less reliance on points scored results in a more accurate comparison of the contribution of players independent of their tactical roles. Conclusion: These indices may improve coaches' understanding of the real contribution of each player to team performance.info:eu-repo/semantics/openAccessUniversidade Estadual PaulistaMotriz: Revista de Educação Física v.28 20222022-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-65742022000101609en10.1590/s1980-657420220004922
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region America del Sur
libraryname SciELO
language English
format Digital
author Senatore,José Vitor
Fellingham,Gilbert
Lamas,Leonardo
spellingShingle Senatore,José Vitor
Fellingham,Gilbert
Lamas,Leonardo
Efficiency and productivity evaluation of basketball players' performance
author_facet Senatore,José Vitor
Fellingham,Gilbert
Lamas,Leonardo
author_sort Senatore,José Vitor
title Efficiency and productivity evaluation of basketball players' performance
title_short Efficiency and productivity evaluation of basketball players' performance
title_full Efficiency and productivity evaluation of basketball players' performance
title_fullStr Efficiency and productivity evaluation of basketball players' performance
title_full_unstemmed Efficiency and productivity evaluation of basketball players' performance
title_sort efficiency and productivity evaluation of basketball players' performance
description Abstract Aim: Basketball players' performances have been traditionally summarized in indices that rely on the game-related statistics (e.g. rebounds, field goals, etc). Indices are defined according to different methods (e.g. Efficiency Index - Ei, Plus-Minus, Wins Produced), seeking distinct analytic objectives. Ei is frequently used given its simplicity. However, it has questionable validity since it measures productivity instead of efficiency and uses biased calculations for scoring. This study aimed to define indices of efficiency (Basketball Efficiency Index (BEi)) and productivity (Basketball Productivity Index (BPi)) of a player's contribution to the team performance with greater validity than Ei. Methods: We gathered public NBA game-related statistics (2014/2015 – 2018/2019). We analyzed: Ei's and BEi's winning prediction accuracy; Ei's and BEi's point spread prediction accuracy; the correlation between GRS and Ei, BEi, BPi, and PER; players' rank correlation between indices. Results: In comparison to Ei, both BEi and BPi reduced the weight of points scored on the final value. Less reliance on points scored results in a more accurate comparison of the contribution of players independent of their tactical roles. Conclusion: These indices may improve coaches' understanding of the real contribution of each player to team performance.
publisher Universidade Estadual Paulista
publishDate 2022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-65742022000101609
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