Evidence map›Paper›PMID 42426359›Full record

ArticleSports medicine - open2026

Home-Court Advantage and the Associations of Travel and Jet Lag with Team Performance in the Women's National Basketball Association (WNBA).

Josh Leota, Dean J Miller, Mark É Czeisler, Jesse Cook, Luis Mascaro, Tim D Smithies, Ayden Nelthropp, Elise R Facer-Childs

Abstract read
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Article in Sports medicine - open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Josh LeotaSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia. josh.leota@monash.edu.ORCID http://orcid.org/0000-0002-7714-4630
Dean J MillerAppleton Institute, Central Queensland University, Adelaide, SA, Australia.
Mark É CzeislerDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Jesse CookDepartment of Psychiatry, School of Medicine and Public Health, University of WI - Madison, Madison, WI, USA.
Luis MascaroSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia.
Tim D SmithiesAppleton Institute, Central Queensland University, Adelaide, SA, Australia.
Ayden NelthroppSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia.
Elise R Facer-ChildsSleep and Circadian Rhythms Research Program, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, 3800, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTravel-related fatigue and circadian disruption (i.e., jet lag) are well-established factors limiting performance in elite men's sport and are recognized contributors to home advantage. Yet evidence from women's professional leagues remains scarce.

aimThis study examined temporal trends in home-court advantage and assessed how cumulative travel burden and directional jet lag relate to performance in the Women's National Basketball Association (WNBA).

methodsGame location, timing, and performance data from 3489 regular season WNBA games spanning 18 seasons (2007-2024) were analyzed using mixed-effects models adjusted for game time, team and opponent strength, and season. We quantified cumulative travel distance over the preceding seven days and directional jet lag based on eastward or westward travel adjusted for circadian resynchronization.

resultsHome-court advantage declined significantly over time (β =  - 0.67, p = .002), from 64.3% in 2009 to 52.3% in 2024, coinciding with improved league-wide travel conditions. Greater recent travel distance was associated with worse performance among away teams (β = -0.04, p = .020), primarily driven by increased points conceded (β = 0.04, p = .018). Eastward jet lag was significantly associated with worse home team performance (β = -0.15, p = .049), with no such associations observed for westward jet lag or among away teams (all p ≥ .399).

conclusionThese findings provide the first large-scale evidence linking travel and circadian disruption to performance in the WNBA. Although home-court advantage has declined, travel-related challenges persist. Incorporating circadian principles into travel and recovery protocols may help improve performance, particularly as game schedules grow more congested with league expansion.

Indexed as

Circadian disruptionElite athletesFemale athletesJetlagPerformanceSleepSport

Identifiers

PMID42426359
PMCPMC13350567

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.