Author
Listed:
- Macdonald Brian
(United States Military Academy, Department of Mathematical Sciences and Network Science Center, West Point, NY, USA)
- Pulleyblank William
(United States Military Academy, Department of Mathematical Sciences and Network Science Center, West Point, NY, USA, e-mail: william.pulleyblank@usma.edu)
Abstract
Sports leagues consist of conferences subdivided into divisions. Teams play a number of games within their divisions and fewer games against teams in different divisions and conferences. Usually, a league structure remains stable from one season to the next. However, structures change when growth or contraction occurs, and realignment of the four major professional sports leagues in North America has occurred more than 25 times since 1967. In this paper, we describe a method for realigning sports leagues that is flexible, adaptive, and that enables construction of schedules that minimize travel while satisfying other criteria. We do not build schedules; we develop league structures which support the subsequent construction of efficient schedules. Our initial focus is the NHL, which had a need for realignment following the recent move of the Atlanta Thrashers to Winnipeg, but our methods can be adapted to virtually any situation. We examine a variety of scenarios for the NHL, and apply our methods to the NBA, MLB, and NFL. We find the biggest improvements for MLB and the NFL, where adopting the best solutions would reduce league travel by about 20%.
Suggested Citation
Macdonald Brian & Pulleyblank William, 2014.
"Realignment in the NHL, MLB, NFL, and NBA,"
Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 1-16, June.
Handle:
RePEc:bpj:jqsprt:v:10:y:2014:i:2:p:16:n:4
DOI: 10.1515/jqas-2013-0070
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