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Data Analytics and Football Industry on the Egyptian Premier League

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

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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

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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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    AU  - Gomaa Mohamed Othman
    AU  - Mohamed Dawoud Al-shenawy
    Y1  - 2023/01/10
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    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
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    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.
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Author Information
  • Faculty of Physical Education, Zagazig University, Cairo, Egypt

  • Sports Performance Specialist Analysis, Cairo University, Cairo, Egypt

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