Scramble Teams for the Pinehurst Terrapin Classic

Ball Michael O and Halper Russell
Additional contact information
Ball Michael O: University of Maryland - College Park
Halper Russell: University of Maryland - College Park

Journal of Quantitative Analysis in Sports, 2009, vol. 5, issue 2, 25

Abstract: The Pinehurst Terrapin Classic (PTC) is a five day, 16 player, annual golf tournament that includes match-play and scramble rounds. Pairings must be created for each day of the tournament that ensure each pair of participants play on the same team at least once during the tournament, and ensure that the teams for each scramble round are of comparable ability. Over the past four years, both a simple interactive, spreadsheet-based heuristic and an integer programming model have been developed to create the pairings. These both rely on very special properties of the structure of this tournament. In this paper, we describe this structure, the methods used to create the pairings and the experience with the use of these methods over the most recent years.

Keywords: integer programming; golf pairings; tournaments (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.2202/1559-0410.1180 (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:5:y:2009:i:2:n:10

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

DOI: 10.2202/1559-0410.1180

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 ().