Draw procedures for balanced 3-team group rounds in sports competitions

Abstract We propose procedures for draws in sports tournaments that will achieve balanced groups of size 3. We start by developing an efficient algorithm that finds all possible balanced groupings; that is, allocations of teams to groups such that the strength of all groups lies between two bounds. The algorithm uses comparison results to discard large sets of unfeasible allocations and backtracking. We then define pot-and-ball draws that randomly pick one of the balanced groupings. Our draw procedures ensure that all groups are of (virtually) identical competitive levels, thereby enhancing the overall fairness and interest of the tournament.

Authors

Institutions

Publication Details

Journal
Annals of Operations Research
Published
2025-02-06
DOI
https://doi.org/10.1007/s10479-025-06497-9
Citations
1
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
3.13

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Draw procedures for balanced 3-team group rounds in sports competitions

Pablo Laliena, F. Javier López
1 citations
Annals of Operations Research
Sports Analytics and Performance
3.13
article

Draw procedures for balanced 3-team group rounds in sports competitions

Pablo Laliena, F. Javier López
article en
1 citations

Abstract

Abstract We propose procedures for draws in sports tournaments that will achieve balanced groups of size 3. We start by developing an efficient algorithm that finds all possible balanced groupings; that is, allocations of teams to groups such that the strength of all groups lies between two bounds. The algorithm uses comparison results to discard large sets of unfeasible allocations and backtracking. We then define pot-and-ball draws that randomly pick one of the balanced groupings. Our draw procedures ensure that all groups are of (virtually) identical competitive levels, thereby enhancing the overall fairness and interest of the tournament.

Annals of Operations ResearchVol. 346(3)
Universitat Jaume I (ES), Universidad de Zaragoza (ES)
Ministerio de Ciencia e Innovación, Gobierno de Aragón
Openalex Percentile: Top 10%
Sports Analytics and Performance
3.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.