Measuring and Analyzing the Technical Efficiency of Hockey Players

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96734" target="_blank" >RIV/60460709:41110/23:96734 - isvavai.cz</a>

Výsledek na webu

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

DOI - Digital Object Identifier

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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 evaluates 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 evaluates 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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 41st International Conference on Mathematical Methods in Economics

ISBN

978-80-11-04132-8

ISSN

2788-3965

e-ISSN

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Počet stran výsledku

7

Strana od-do

134-140

Název nakladatele

Czech Society for Operations Research

Místo vydání

Prague

Místo konání akce

Praha

Datum konání akce

1. 1. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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