A fork in the road: factors contributing to elite hockey players’ decisions to choose the NCAA route

Madsen, Rachel; Smith, Jimmy; Edwards, Jonathon; Gentile, Michael; Wayne, Alexis

doi:10.1080/17430437.2019.1615454

Cited by 5 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, a large group of authors are devoted to studying hockey and the NHL from different points of view. Booth et al [12], Farah et al [13] and Madsen et al [14] explored the application of a mathematical programming approach to the expansion of NHL draft optimization and to the factors contributing to elite hockey players' decisions, exploring variations in the production of NHL draftees. Nandakumar and Jensen [15] analyzed the unique challenges of quantitatively summarizing the game of hockey and highlighted how deficiencies in existing methods of evaluation shaped major avenues of research and the creation of new metrics.…”

Section: National Hockey League From Different Points Of Viewmentioning

confidence: 99%

An Analysis of Usage of a Multi-Criteria Approach in an Athlete Evaluation: An Evidence of NHL Attackers

Vavrek

2021

Mathematics

View full text Add to dashboard Cite

The presented research focuses on the commonly used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), which is applied to an evaluation of a basic set of 581 national hockey league (NHL) players in the 2018/2019 season. This is used in combination with a number of objective methods for weighting indicators for identifying differences in their usage. A total of 11 indicators with their own testimonial values, including points, hits, blocked shots and more, are selected for this purpose. The selection of a method for weighting indicators has a major influence on the results obtained and the differences between them, and maintains the internal links within the ranked set of players. Of the evaluated methods, we prefer the Mean Weight method, and we recommend that the input indicators be considered equivalent when evaluating athletes.

show abstract