The Impact of Playoffs on Seasonal Uncertainty in the Czech Ice Hockey Extraliga
Jiřà LahviÄ Ka
Journal of Sports Economics, 2015, vol. 16, issue 7, 784-801
Abstract:
In the top Czech ice hockey competition “Extraliga,†14 geographically close teams compete during a regular season in a pure round-robin tournament. However, the eventual champion is determined in the additional playoff stage and the regular season just decides which teams qualify for the playoffs and how these teams are seeded. This article uses a Monte Carlo simulation to show that although the additional playoff stage heavily favors higher-seeded teams and consists of a lot of games, it lowers the average probability of the strongest team becoming a champion from 48 to 39% and thus increases seasonal uncertainty.
Keywords: seasonal uncertainty; Monte Carlo; ice hockey; tournament design (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1527002513509109 (text/html)
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:sae:jospec:v:16:y:2015:i:7:p:784-801
DOI: 10.1177/1527002513509109
Access Statistics for this article
More articles in Journal of Sports Economics
Bibliographic data for series maintained by SAGE Publications ().