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Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup

The aim of this study was to characterise all the goal scoring patterns during open play (elaborate attacks versus counterattacks) related to zone pitch division and the number of players involved in the 2018 FIFA World Cup in Russia. An Iterative Dichotomiser 3 (ID3) decision tree algorithm was use...

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Autores principales: Cerda, Joaquin, Sanchez-Sanchez, Javier, Viejo-Romero, David, Jimenez-Linares, Luis, Gimenez, Jesus Vicente, Garcia-Unanue, Jorge, Felipe, Jose Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402275/
https://www.ncbi.nlm.nih.gov/pubmed/34451043
http://dx.doi.org/10.3390/s21165601
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author Cerda, Joaquin
Sanchez-Sanchez, Javier
Viejo-Romero, David
Jimenez-Linares, Luis
Gimenez, Jesus Vicente
Garcia-Unanue, Jorge
Felipe, Jose Luis
author_facet Cerda, Joaquin
Sanchez-Sanchez, Javier
Viejo-Romero, David
Jimenez-Linares, Luis
Gimenez, Jesus Vicente
Garcia-Unanue, Jorge
Felipe, Jose Luis
author_sort Cerda, Joaquin
collection PubMed
description The aim of this study was to characterise all the goal scoring patterns during open play (elaborate attacks versus counterattacks) related to zone pitch division and the number of players involved in the 2018 FIFA World Cup in Russia. An Iterative Dichotomiser 3 (ID3) decision tree algorithm was used to classify all the goal scoring patterns (94 goals in 64 matches). The results did not show statistical differences between the type of scoring goal during the 2018 FIFA World Cup (p > 0.05; ES = Moderate). According to the result of the patterns of how the goals were achieved, an ID3 algorithm decision tree with seven classification decision nodes was calculated. Consequently, this study may aid national team coaches for the next World Cup to establish notational analyses and spatial-temporal relations to understand how scoring patterns during open play are related to zone pitch division and the number of players involved.
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spelling pubmed-84022752021-08-29 Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup Cerda, Joaquin Sanchez-Sanchez, Javier Viejo-Romero, David Jimenez-Linares, Luis Gimenez, Jesus Vicente Garcia-Unanue, Jorge Felipe, Jose Luis Sensors (Basel) Article The aim of this study was to characterise all the goal scoring patterns during open play (elaborate attacks versus counterattacks) related to zone pitch division and the number of players involved in the 2018 FIFA World Cup in Russia. An Iterative Dichotomiser 3 (ID3) decision tree algorithm was used to classify all the goal scoring patterns (94 goals in 64 matches). The results did not show statistical differences between the type of scoring goal during the 2018 FIFA World Cup (p > 0.05; ES = Moderate). According to the result of the patterns of how the goals were achieved, an ID3 algorithm decision tree with seven classification decision nodes was calculated. Consequently, this study may aid national team coaches for the next World Cup to establish notational analyses and spatial-temporal relations to understand how scoring patterns during open play are related to zone pitch division and the number of players involved. MDPI 2021-08-19 /pmc/articles/PMC8402275/ /pubmed/34451043 http://dx.doi.org/10.3390/s21165601 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cerda, Joaquin
Sanchez-Sanchez, Javier
Viejo-Romero, David
Jimenez-Linares, Luis
Gimenez, Jesus Vicente
Garcia-Unanue, Jorge
Felipe, Jose Luis
Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup
title Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup
title_full Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup
title_fullStr Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup
title_full_unstemmed Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup
title_short Characterisation of Goal Scoring Patterns during Open Play Related to Zone Pitch Division and Number of Players Involved in the 2018 FIFA World Cup
title_sort characterisation of goal scoring patterns during open play related to zone pitch division and number of players involved in the 2018 fifa world cup
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402275/
https://www.ncbi.nlm.nih.gov/pubmed/34451043
http://dx.doi.org/10.3390/s21165601
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