<abstract xmlns="http://www.w3.org/1999/xhtml">

<italic><bold>Introduction.</bold></italic> The aim of this article is to measure and assess the efficiency of Czech hockey players in the NHL, to create a ranking, and to reveal the best Czech hockey players in the NHL.
<italic><bold>Material and methods.</bold></italic> The methodology is based on data envelopment analysis (DEA), namely a basic input-oriented model with constant returns to scale and an advanced Andersen and Petersen's model. Using the Andersen and Petersen's model, a ranking of the best Czech forwards, defenders, and goalkeepers was created based on the super-efficiency scores. DEA models worked with several variables and allowed for greater objectivity to be incorporated into the rankings. The input variable chosen was the number of seasons played. The output variables included the number of games played, the number of minutes played, the number of goals, the number of assists, save percentage, and the number of Stanley Cups won.
<italic><bold>Results.</bold></italic> The research named Jaromír Jágr, Jan Rutta, and Pavel Francouz as the best Czech forward, defender and goalkeeper in the NHL in terms of technical efficiency.
<italic><bold>Conclusions.</bold></italic> The ranking of hockey players based on super-efficiency scores revealed, among other things, that hockey players with a high number of seasons, games played or goals scored are not necessarily technically efficient.
</abstract>

Introduction. The aim of this article is to measure and assess the efficiency of Czech hockey players in the NHL, to create a ranking, and to reveal the best Czech hockey players in the NHL.
Material and methods. The methodology is based on data envelopment analysis (DEA), namely a basic input-oriented model with constant returns to scale and an advanced Andersen and Petersen's model. Using the Andersen and Petersen's model, a ranking of the best Czech forwards, defenders, and goalkeepers was created based on the super-efficiency scores. DEA models worked with several variables and allowed for greater objectivity to be incorporated into the rankings. The input variable chosen was the number of seasons played. The output variables included the number of games played, the number of minutes played, the number of goals, the number of assists, save percentage, and the number of Stanley Cups won.
Results. The research named Jaromír Jágr, Jan Rutta, and Pavel Francouz as the best Czech forward, defender and goalkeeper in the NHL in terms of technical efficiency.
Conclusions. The ranking of hockey players based on super-efficiency scores revealed, among other things, that hockey players with a high number of seasons, games played or goals scored are not necessarily technically efficient.

Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?

Polish Journal of Sport and Tourism

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Introduction. The aim of this article is to measure and assess the efficiency of Czech hockey players in the NHL, to create a ranking, and to reveal the best...

Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?

Online veröffentlicht: 03. Okt. 2023

Seitenbereich: 23 - 28

Eingereicht: 24. Mai 2023

Akzeptiert: 24. Sept. 2023

DOI: https://doi.org/10.2478/pjst-2023-0016

Schlüsselwörter
ice hockey, efficiency, super-efficiency, data envelopment analysis, NHL

© 2023 Natalie Pelloneová, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?

Online veröffentlicht: 03. Okt. 2023

Seitenbereich: 23 - 28

Eingereicht: 24. Mai 2023

Akzeptiert: 24. Sept. 2023

DOI: https://doi.org/10.2478/pjst-2023-0016

Schlüsselwörterice hockey, efficiency, super-efficiency, data envelopment analysis, NHL

© 2023 Natalie Pelloneová, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
ice hockey, efficiency, super-efficiency, data envelopment analysis, NHL