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Cited by 18Sports Analytics and PerformanceSports, Gender, and SocietySport and Mega-Event Impacts

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index; none of the 20 sources its claims cite is checked for support yet.

Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball

Open access
De Angelis, Luca, Reade, J. James·2023·Annals of Operations Research

Abstract

Several recent studies suggest that the home advantage, that is, the benefit competitors accrue from performing in familiar surroundings, was—at least temporarily—reduced in games played without spectators due to the COVID-19 Pandemic. These games played without fans during the Pandemic have been dubbed ‘ghost games’. However, the majority of the research to date focus on soccer and no contributions have been provided for indoor sports, where the effect of the support of the fans might have a stronger impact than in outdoor arenas. In this paper, we try to fill this gap by investigating the effect of ghost games in basketball with a special focus on the possible reduction of the home advantage due to the absence of spectators inside the arena. In particular, we test (i) for the reduction of the home advantage in basketball, (ii) whether such reduction tends to disappear over time, (iii) if the bookmakers promptly adapt to such structural change or whether mispricing was created on the betting market. The results from a large data set covering all seasons since 2004 for the ten most popular and followed basketball leagues in Europe show, on the one hand, an overall significant reduction of the home advantage of around 5% and no evidence that suggests that this effect has been reduced at as teams became more accustomed to playing without fans; on the other hand, bookmakers appear to have anticipated such effect and priced home win in basketball matches accordingly, thus avoiding creating mispricing on betting markets.

Overview

CoChat Summary

TL;DR

Ghost games in the top ten European basketball leagues reduced the home advantage by about 5 percentage points, and this reduction did not diminish as teams played more games without fans. Bookmakers anticipated the drop in home-win probability, so no systematic mispricing appeared in the betting markets.

Key findings

  • Across 27,691 matches (1,026 ghost games), the home-win percentage fell from 61.1% pre-Covid to 56.0% post-Covid, a significant decrease of 5.1% (p<0.01). In linear probability models, ghost games reduced the home-win probability by about 5% (β = –0.0505* in model 1; β = –0.0474* in model 2).
  • The effect did not appear temporary: adding Matchday and Matchday² gave a positive linear term (0.0424*) and negative quadratic term (–0.0046), with the maximum marginal effect at about five ghost home games, but this was not enough to offset the negative ghost-game effect (β = –0.1174).
  • League-level ghost-game effects did not differ significantly across leagues (H0: β6 = 0 not rejected), though overall home-win probabilities varied by league (lowest in Russia at 56.6%, highest in the Adriatic ABA league at 65.7%).
  • Betting markets showed no evidence of mispricing: bookmakers’ implied home-win probabilities were significantly affected by ghost games at 1%, falling by about 3.5% in models (1)–(4) and about 5.2% in models (5)–(6). Market efficiency was not rejected except for the Greek HEBA league at 1% significance, consistent with a favourite-longshot bias; average bookmaker margin was about 3.4% overall, ranging from 1.12% (Adriatic) to 5.77% (Russia).

Methods

  • Data cover the top ten European basketball leagues from 2004 to early 2021, totalling 27,691 matches, of which 1,026 were ghost games; odds come from 47 international online bookmakers via oddsportal.com.
  • Home-advantage effects are estimated with linear probability models (OLS) where the dependent variable is a home-win dummy, with regressors for ghost games, playoffs, Matchday and Matchday², league indicators, and ghost-game-by-league interactions; HC3 robust standard errors are used, and the design is described as akin to difference-in-differences.
  • Betting-market efficiency is tested using Mincer-Zarnowitz forecast-error regressions estimated by WLS with weights p(1–p), plus efficiency curves; a further OLS model regresses bookmakers’ implied probabilities on ghost games, playoffs, weighted Elo rating, Matchday, and Matchday².

Limitations

  • The paper does not include a formal limitations section; it states future research could examine other indoor sports such as volleyball or ice hockey and relate the findings to US basketball.
  • Evident from the text: the design is an observational natural experiment without random assignment, and ghost games are a small share of the sample (1,026 of 27,691, about 3.7%), which the authors note makes standard robust covariance estimators potentially imprecise.
  • Also evident: sample periods vary by league, the analysis uses average odds across bookmakers, and the authors state they are unable to identify any travel effect from Covid-19-related competition changes in basketball.

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Integrity signals

Registry

Crossref · 10.1007/s10479-022-04950-7

Cites

73 of 73 references verified0 citation errors · 0 not checkable

Statistics

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Figures

Fig. 1 Realized home win probability for each league and season from 2011-2012 to 2020-2021
Fig. 1 Realized home win probability for each league and season from 2011-2012 to 2020-2021CC BY · PubMed Central
Fig. 2 Marginal effect of Matchday variable on home advantage. |GG| denotes the estimated effect of ghost games (in absolute value)
Fig. 2 Marginal effect of Matchday variable on home advantage. |GG| denotes the estimated effect of ghost games (in absolute value)CC BY · PubMed Central
Fig. 3 Efficiency curves G^(pg) in (5) and related 95% confidence bands in (3.2) computed considering the mean of the odds offered by the betting market
Fig. 3 Efficiency curves G^(pg) in (5) and related 95% confidence bands in (3.2) computed considering the mean of the odds offered by the betting marketCC BY · PubMed Central

Verification

Claims the paper makes

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Citations

Cites

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Research works printed but not linked: 1

  1. Pollard, R., & Gómez, M. A. (2007). Home advantage analysis in different basketball leagues according to team ability. In Iberian congress on basketball research, 4, 61–64.

Cited by

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Metadata

Authors
De Angelis, L., & Reade, J. J.
Affiliations
University of Reading (GB)
Corresponding author
Reade, J. James
Venue
Annals of Operations Research
Published
2022-09-28
Volume
325
Issue
1
Pages
391-418
ISSN
  • 0254-5330 (ISSN-L)
  • 1572-9338
OpenAlex
W4297502715
Cited by
18
References
73
Citations by year
2026: 5 · 2025: 2 · 2024: 7 · 2023: 3 · 2022: 1
FWCI
2.38
Type
journal article
Language
en
Open access
Licence
Locations
  • Annals of Operations Research (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • CentAUR (University of Reading) (submittedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Alma Mater Studiorum - Università di Bologna
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
  • Social Sciences › Gender Studies › Sports, Gender, and Society
  • Social Sciences › Sociology and Political Science › Sport and Mega-Event Impacts
Keywords
home advantage, ghost games, COVID-19 pandemic, basketball, sports betting, betting markets, indoor sports

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CoChat. (2026). Citation check: Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball. https://app.cochat.ai/papers/10.1007/s10479-022-04950-7
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De Angelis, L., & Reade, J. J. (2023). Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04950-7

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