EconPapers    
Economics at your fingertips  
 

Winning and losing streaks in the National Hockey League: are teams experiencing momentum or are games a sequence of random events?

Steeger Gregory M. (), Dulin Johnathon L. () and Gonzalez Gerardo O. ()
Additional contact information
Steeger Gregory M.: Department of Management, United States Air Force Academy, 2354 Fairchild Drive, USAF Academy, Colorado, USA
Dulin Johnathon L.: Department of Management, United States Air Force Academy, 2354 Fairchild Drive, USAF Academy, Colorado, USA
Gonzalez Gerardo O.: Department of Management, United States Air Force Academy, 2354 Fairchild Drive, USAF Academy, Colorado, USA

Journal of Quantitative Analysis in Sports, 2021, vol. 17, issue 3, 155-170

Abstract: The Saint Louis Blues were hot at the end of the 2018–2019 National Hockey League season, winning eleven games in a row in January and February, and eight of their last ten. They parlayed this momentum to their first Stanley Cup Championship in franchise history. Or did they? Did the series of wins at the end of the season give the Blues the momentum needed to reach the pinnacle of the sport on June 12th, or was the Blues’ path to victory the confluence of a series of random events that fell in their favor? In this paper we apply entropy as an unbiased measure to further refute the idea of momentum in sports. We show that game outcomes are not dependent on previous games’ outcomes and conclude that the theory of momentum, across the season, is a fallacy that should not affect behavior.

Keywords: entropy; gambler’s fallacy; hot hand fallacy; runs test (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1515/jqas-2020-0077 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:17:y:2021:i:3:p:155-170:n:5

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.1515/jqas-2020-0077

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-19
Handle: RePEc:bpj:jqsprt:v:17:y:2021:i:3:p:155-170:n:5