Predicting the Outcomes of NCAA Basketball Championship Games
Herman Stekler and
Klein Andrew
Additional contact information
Klein Andrew: George Washington University
Journal of Quantitative Analysis in Sports, 2012, vol. 8, issue 1, 10
Abstract:
This paper uses the difference in seeding ranks to predict the outcome of March Madness games. It updates the Boulier-Stekler method by predicting the outcomes by rounds. We also use the consensus rankings obtained from individuals, systems and poll. We conclude that the consensus rankings were slightly better predictors in the early rounds but had the same limitations as the seedings in the later rounds.
Keywords: sports forecasts; March Madness; ranking methods; expert forecasts; consensus forecasts (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://doi.org/10.1515/1559-0410.1373 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
Working Paper: Predicting the Outcomes of NCAA Basketball Championship Games (2011) 
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:8:y:2012:i:1:n:3
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html
DOI: 10.1515/1559-0410.1373
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 ().