Evidence map›Paper›PMID 36494746›Full record

ArticleBMC sports science, medicine & rehabilitation2022

The influence of removing home advantage on the Chinese Football Super League.

Bo Han, Lang Yang, Pengyu Pan, Antonio García-de-Alcaraz, Can Yang, Tianbiao Liu

Abstract read
In one paragraph

Article in BMC sports science, medicine & rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

6 authors.

Bo HanChina Football College, Beijing Sport University, Beijing, 100084, China.
Lang YangBeijing Zhongguancun Foreign Language School, Beijing, 100085, China.
Pengyu PanCollege of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China.
Antonio García-de-AlcarazDepartment of Education, Faculty of Education Sciences, University of Almería, Almería, Spain.
Can YangCollege of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China.
Tianbiao LiuCollege of Physical Education and Sports, Beijing Normal University, Beijing, 100875, China. ltb@bnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to the COVID-19 pandemic, the 2020 season Chinese Super League (CSL) was held in neutral venues, this study aims to analyse the impact of removing home advantage (HA) in CSL.

method240 games of the CSL 2019 season (home and away double round-robin system) and 160 games of the 2020 season (in neutral venues) were analysed. 27 technical and tactical performance indicators were involved as dependent variables. A multiple linear regression model was established to analyse the influence of removing HA on the performance indicators.

resultsAfter moving from home stadium to neutral venue in 2020 season, goal, shot, shot on target, shot from outside box, shot from inside box, shot on target from inside box, corner kick, key pass, cross, breakthrough, tackle decreased significantly (p < 0.05), while yellow card and foul increased steeply (p < 0.05). Comparing with playing away match, in neutral venue, free kicks and pass accuracy enhanced radically (p < 0.05), while tackle, clearance and block shot dropped noticeably (p < 0.05).

conclusionWhen removing HA and playing in the neutral venue, teams' performance dropped significantly. This study confirmed the positive impact of HA on the teams' performance and may help elite football teams make proper playing strategies regarding different match locations.

Indexed as

Home advantageMatch locationNeutral venuePerformance analysisPerformance indicatorsPredictive statisticSituational variablesTeam sports

Identifiers

PMID36494746
PMCPMC9733305

What OpenQuestion holds

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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.