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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8402275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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