Measuring and Analyzing the Technical Efficiency of Hockey Players

Result code in 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>

Alternative codes found

RIV/60460709:41110/23:96734

Result on the web

<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

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Result language

angličtina

Original language name

Measuring and Analyzing the Technical Efficiency of Hockey Players

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50200 - Economics and Business

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

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

Article name in the collection

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

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Number of pages

7

Pages from-to

134-140

Publisher name

Czech Society for Operations Research

Place of publication

Praha

Event location

Praha

Event date

Sep 13, 2023

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

001551108000023