Any sports organization today operates in a competitive environment, which makes it necessary to restructure its management system, develop ways to improve the efficiency of its work. This article describes the developed user application designed to automate the work of the transfer department of a football club for the selection of players. The application allows you to import statistics on players from sports sites, such as Transfermarkt, into an MS Excel workbook, then the user has the opportunity to organize an automated sorting according to the following criteria: playing role, nationality, cost, xG indicator, age, height, impact leg. There are quite a lot of options for selecting players, the main feature of filtering is the selection by the indicator of “expected goals” xG. All the selected data is uploaded as a separate aggregate and the sum of the transfer cost of all the “newcomers” of the club is displayed. Since the application was developed for a poor club, a team organization model was created that takes into account resource constraints. As a criterion for the effectiveness of the model, the increase in the transfer cost of the “newcomers” and the team as a whole at the end of the playing season is considered. The application was developed using the Python programming languages version 3.9 with the connection of specialized libraries and Visual Basic for Application. Automation of the transfer department of the football club will simplify the process of finding and selecting players, reduce expenses and increase the economic efficiency of the club.


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    Titel :

    Automation of the Transfer Department of a Premier League Football Club


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Guda, Alexander (Herausgeber:in) / Grober, Tatiana (Autor:in) / Grober, Oleg (Autor:in)

    Kongress:

    International School on Neural Networks, Initiated by IIASS and EMFCSC ; 2022 ; St.Petersburg, Russia February 08, 2022 - February 10, 2022



    Erscheinungsdatum :

    16.11.2022


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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