Evidence map›Paper›PMID 41060932›Full record

ArticlePloS one2025

Impact of COVID-19 on English Football Premier League: Analyzing rankings and home advantage using extended Bradley-Terry models.

Hong Hong Liu, Jack Battaglia, Tong Tong Wu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hong Hong LiuDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, United States of America.
Jack BattagliaDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, United States of America.
Tong Tong WuDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, United States of America.ORCID https://orcid.org/0000-0002-1175-9923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 significantly impacted sports tournaments, particularly soccer. During the pandemic, restrictions on spectators and frequent team composition changes due to outbreaks, providing a unique opportunity to explore the effects on team performance and home advantage (HA). In this study, we have two focuses. We first introduce a new extended Bradley-Terry model. The proposed model demonstrated several advantages over existing models, particularly in terms of stability, ease of implementation, and interpretation. It can be applied to any sport featuring home and away dynamics. The second focus is to apply the proposed model to data from the English Premier League over the past ten seasons. The analysis aims to evaluate changes in team rankings and home advantage before, during, and after the pandemic disruptions. Our findings indicate marked fluctuations in team performance and home advantage during the pandemic, with a distinct shift in team dynamics and competitive balance under pandemic restrictions.

Indexed as

Athletic PerformanceCOVID-19SoccerEnglandHumansModels, TheoreticalPandemicsSARS-CoV-2

Identifiers

PMID41060932
PMCPMC12507229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.