Data Analytics and Football Industry on the Egyptian Premier League

Gomaa Mohamed Othman; Mohamed Dawoud Al-shenawy

doi:doi:10.11648/j.ajss.20221004.12

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Data Analytics and Football Industry on the Egyptian Premier League

Gomaa Mohamed Othman, Mohamed Dawoud Al-shenawy

Published in American Journal of Sports Science (Volume 10, Issue 4)

Received: 5 July 2022 Accepted: 16 August 2022 Published: 10 January 2023

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Abstract

The aim of this study is to identify the level of accuracy in penalty kicks using different techniques of performance analysis in the Egyptian Football League by making a comparison between two models of analysis techniques used, Two models were used: (Korstat XG) and (Instat XG). The researchers used the descriptive survey method for a sample of the Egyptian Football League (10) teams. The appropriate statistical method was used using the statistical analysis program Spss. The most important results of this study were the following: We note from the table that instat, which gives the penalty kick value of 0.75, is the closest to the accuracy, as its accuracy of expecrltation during five seasons reached 99.94% after it was expected that 493.5 penalty kicks were scored, while 491 penalty kicks were actually recorded. On the other hand, the KoraStat model, which gives the penalty kick a value of 0.89, has an accuracy of expectaion 83.84%, after it was expected to score 585.63 penalty kicks, while 491 penalty kicks were actually recordedWhich shows that the value of scoring a penalty kick in the Egyptian League corresponds more to the model of the company Instat, which gives for each penalty kick a value of 0.75 as an expected goal.

Published in	American Journal of Sports Science (Volume 10, Issue 4)
DOI	10.11648/j.ajss.20221004.12
Page(s)	92-95
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2023. Published by Science Publishing Group

Keywords

Analytics, Data, Sports Industry

References

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Gomaa Mohamed Othman, Mohamed Dawoud Al-shenawy. (2023). Data Analytics and Football Industry on the Egyptian Premier League. American Journal of Sports Science, 10(4), 92-95. https://doi.org/10.11648/j.ajss.20221004.12

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ACS Style

Gomaa Mohamed Othman; Mohamed Dawoud Al-shenawy. Data Analytics and Football Industry on the Egyptian Premier League. Am. J. Sports Sci. 2023, 10(4), 92-95. doi: 10.11648/j.ajss.20221004.12

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AMA Style

Gomaa Mohamed Othman, Mohamed Dawoud Al-shenawy. Data Analytics and Football Industry on the Egyptian Premier League. Am J Sports Sci. 2023;10(4):92-95. doi: 10.11648/j.ajss.20221004.12

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@article{10.11648/j.ajss.20221004.12,
  author = {Gomaa Mohamed Othman and Mohamed Dawoud Al-shenawy},
  title = {Data Analytics and Football Industry on the Egyptian Premier League},
  journal = {American Journal of Sports Science},
  volume = {10},
  number = {4},
  pages = {92-95},
  doi = {10.11648/j.ajss.20221004.12},
  url = {https://doi.org/10.11648/j.ajss.20221004.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20221004.12},
  abstract = {The aim of this study is to identify the level of accuracy in penalty kicks using different techniques of performance analysis in the Egyptian Football League by making a comparison between two models of analysis techniques used, Two models were used: (Korstat XG) and (Instat XG). The researchers used the descriptive survey method for a sample of the Egyptian Football League (10) teams. The appropriate statistical method was used using the statistical analysis program Spss. The most important results of this study were the following: We note from the table that instat, which gives the penalty kick value of 0.75, is the closest to the accuracy, as its accuracy of expecrltation during five seasons reached 99.94% after it was expected that 493.5 penalty kicks were scored, while 491 penalty kicks were actually recorded. On the other hand, the KoraStat model, which gives the penalty kick a value of 0.89, has an accuracy of expectaion 83.84%, after it was expected to score 585.63 penalty kicks, while 491 penalty kicks were actually recordedWhich shows that the value of scoring a penalty kick in the Egyptian League corresponds more to the model of the company Instat, which gives for each penalty kick a value of 0.75 as an expected goal.},
 year = {2023}
}

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TY  - JOUR
T1  - Data Analytics and Football Industry on the Egyptian Premier League
AU  - Gomaa Mohamed Othman
AU  - Mohamed Dawoud Al-shenawy
Y1  - 2023/01/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajss.20221004.12
DO  - 10.11648/j.ajss.20221004.12
T2  - American Journal of Sports Science
JF  - American Journal of Sports Science
JO  - American Journal of Sports Science
SP  - 92
EP  - 95
PB  - Science Publishing Group
SN  - 2330-8540
UR  - https://doi.org/10.11648/j.ajss.20221004.12
AB  - The aim of this study is to identify the level of accuracy in penalty kicks using different techniques of performance analysis in the Egyptian Football League by making a comparison between two models of analysis techniques used, Two models were used: (Korstat XG) and (Instat XG). The researchers used the descriptive survey method for a sample of the Egyptian Football League (10) teams. The appropriate statistical method was used using the statistical analysis program Spss. The most important results of this study were the following: We note from the table that instat, which gives the penalty kick value of 0.75, is the closest to the accuracy, as its accuracy of expecrltation during five seasons reached 99.94% after it was expected that 493.5 penalty kicks were scored, while 491 penalty kicks were actually recorded. On the other hand, the KoraStat model, which gives the penalty kick a value of 0.89, has an accuracy of expectaion 83.84%, after it was expected to score 585.63 penalty kicks, while 491 penalty kicks were actually recordedWhich shows that the value of scoring a penalty kick in the Egyptian League corresponds more to the model of the company Instat, which gives for each penalty kick a value of 0.75 as an expected goal.
VL  - 10
IS  - 4
ER  -

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Author Information

Gomaa Mohamed Othman

Faculty of Physical Education, Zagazig University, Cairo, Egypt
Mohamed Dawoud Al-shenawy

Sports Performance Specialist Analysis, Cairo University, Cairo, Egypt

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APA Style

Gomaa Mohamed Othman, Mohamed Dawoud Al-shenawy. (2023). Data Analytics and Football Industry on the Egyptian Premier League. American Journal of Sports Science, 10(4), 92-95. https://doi.org/10.11648/j.ajss.20221004.12

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ACS Style

Gomaa Mohamed Othman; Mohamed Dawoud Al-shenawy. Data Analytics and Football Industry on the Egyptian Premier League. Am. J. Sports Sci. 2023, 10(4), 92-95. doi: 10.11648/j.ajss.20221004.12

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AMA Style

Gomaa Mohamed Othman, Mohamed Dawoud Al-shenawy. Data Analytics and Football Industry on the Egyptian Premier League. Am J Sports Sci. 2023;10(4):92-95. doi: 10.11648/j.ajss.20221004.12

Copy | Download

@article{10.11648/j.ajss.20221004.12,
  author = {Gomaa Mohamed Othman and Mohamed Dawoud Al-shenawy},
  title = {Data Analytics and Football Industry on the Egyptian Premier League},
  journal = {American Journal of Sports Science},
  volume = {10},
  number = {4},
  pages = {92-95},
  doi = {10.11648/j.ajss.20221004.12},
  url = {https://doi.org/10.11648/j.ajss.20221004.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajss.20221004.12},
  abstract = {The aim of this study is to identify the level of accuracy in penalty kicks using different techniques of performance analysis in the Egyptian Football League by making a comparison between two models of analysis techniques used, Two models were used: (Korstat XG) and (Instat XG). The researchers used the descriptive survey method for a sample of the Egyptian Football League (10) teams. The appropriate statistical method was used using the statistical analysis program Spss. The most important results of this study were the following: We note from the table that instat, which gives the penalty kick value of 0.75, is the closest to the accuracy, as its accuracy of expecrltation during five seasons reached 99.94% after it was expected that 493.5 penalty kicks were scored, while 491 penalty kicks were actually recorded. On the other hand, the KoraStat model, which gives the penalty kick a value of 0.89, has an accuracy of expectaion 83.84%, after it was expected to score 585.63 penalty kicks, while 491 penalty kicks were actually recordedWhich shows that the value of scoring a penalty kick in the Egyptian League corresponds more to the model of the company Instat, which gives for each penalty kick a value of 0.75 as an expected goal.},
 year = {2023}
}

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TY  - JOUR
T1  - Data Analytics and Football Industry on the Egyptian Premier League
AU  - Gomaa Mohamed Othman
AU  - Mohamed Dawoud Al-shenawy
Y1  - 2023/01/10
PY  - 2023
N1  - https://doi.org/10.11648/j.ajss.20221004.12
DO  - 10.11648/j.ajss.20221004.12
T2  - American Journal of Sports Science
JF  - American Journal of Sports Science
JO  - American Journal of Sports Science
SP  - 92
EP  - 95
PB  - Science Publishing Group
SN  - 2330-8540
UR  - https://doi.org/10.11648/j.ajss.20221004.12
AB  - The aim of this study is to identify the level of accuracy in penalty kicks using different techniques of performance analysis in the Egyptian Football League by making a comparison between two models of analysis techniques used, Two models were used: (Korstat XG) and (Instat XG). The researchers used the descriptive survey method for a sample of the Egyptian Football League (10) teams. The appropriate statistical method was used using the statistical analysis program Spss. The most important results of this study were the following: We note from the table that instat, which gives the penalty kick value of 0.75, is the closest to the accuracy, as its accuracy of expecrltation during five seasons reached 99.94% after it was expected that 493.5 penalty kicks were scored, while 491 penalty kicks were actually recorded. On the other hand, the KoraStat model, which gives the penalty kick a value of 0.89, has an accuracy of expectaion 83.84%, after it was expected to score 585.63 penalty kicks, while 491 penalty kicks were actually recordedWhich shows that the value of scoring a penalty kick in the Egyptian League corresponds more to the model of the company Instat, which gives for each penalty kick a value of 0.75 as an expected goal.
VL  - 10
IS  - 4
ER  -

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