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Measuring and Analyzing the Technical Efficiency of Hockey Players

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10253714" target="_blank" >RIV/61989100:27510/23:10253714 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/60460709:41110/23:96734

  • Výsledek na webu

    <a href="https://mme2023.vse.cz/mme_2023_proceedings.pdf" target="_blank" >https://mme2023.vse.cz/mme_2023_proceedings.pdf</a>

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Measuring and Analyzing the Technical Efficiency of Hockey Players

  • Popis výsledku v původním jazyce

    Ice hockey is a trendy sport all over the world. Analysing the efficiency of hockey players is a valuable tool that helps sports managers with player selection, team composition and team performance evaluation. The literature offers only a limited number of scientific studies assessing the efficiency of hockey players or clubs. This research aims to help hockey clubs, managers, and coaches evaluate the efficiency of their players using data envelopment analysis and regression analysis. This research valuates the technical performance of hockey players using DEA models, ranks the best players, tries to reveal the primary sources of player inefficiency, and uses regression to analyse the change of trend in hockey to evaluate better the future development of the efficiency of hockey players. The models are empirically applied to NHL players over several seasons to see the efficiency gains. The evaluation used in this paper attempts to incorporate greater objectivity into decision-making. It may be an essential step in developing a systematic methodology for evaluating hockey players in the future. However, the results of this first analysis are only visible in the realm of DEA and the possibility of assessing the effectiveness of hockey players. Further developments in regression have yet to identify specific areas of training opportunities.

  • Název v anglickém jazyce

    Measuring and Analyzing the Technical Efficiency of Hockey Players

  • Popis výsledku anglicky

    Ice hockey is a trendy sport all over the world. Analysing the efficiency of hockey players is a valuable tool that helps sports managers with player selection, team composition and team performance evaluation. The literature offers only a limited number of scientific studies assessing the efficiency of hockey players or clubs. This research aims to help hockey clubs, managers, and coaches evaluate the efficiency of their players using data envelopment analysis and regression analysis. This research valuates the technical performance of hockey players using DEA models, ranks the best players, tries to reveal the primary sources of player inefficiency, and uses regression to analyse the change of trend in hockey to evaluate better the future development of the efficiency of hockey players. The models are empirically applied to NHL players over several seasons to see the efficiency gains. The evaluation used in this paper attempts to incorporate greater objectivity into decision-making. It may be an essential step in developing a systematic methodology for evaluating hockey players in the future. However, the results of this first analysis are only visible in the realm of DEA and the possibility of assessing the effectiveness of hockey players. Further developments in regression have yet to identify specific areas of training opportunities.

Klasifikace

  • Druh

    D - Stať ve sborníku

  • CEP obor

  • OECD FORD obor

    50200 - Economics and Business

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název statě ve sborníku

    MME 2023 : Proceedings of the 41st International Conference on Mathematical Methods in Economics : September 13–15, 2023, Prague, Czech Republic

  • ISBN

    978-80-11-04132-8

  • ISSN

    2788-3965

  • e-ISSN

  • Počet stran výsledku

    7

  • Strana od-do

    134-140

  • Název nakladatele

    Czech Society for Operations Research

  • Místo vydání

    Praha

  • Místo konání akce

    Praha

  • Datum konání akce

    13. 9. 2023

  • Typ akce podle státní příslušnosti

    CST - Celostátní akce

  • Kód UT WoS článku

    001551108000023