Evidence map›Paper›PMID 40584078›Full record

ArticleFrontiers in psychology2025

Application of association rules to ball possessions in professional men's football.

Rubén Maneiro, Mario Amatria, José L Losada, Gudberg K Jonsson, Antonio Ardá, Iyán Iván-Baragaño

Abstract read
In one paragraph

Article in Frontiers in psychology, 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

6 authors.

Rubén ManeiroFaculty of Science Education and Sport, University of Vigo, Vigo, Spain.
Mario AmatriaFaculty of Science Education, Pontifical University of Salamanca, Salamanca, Spain.
José L LosadaDepartment of Social Psychology and Quantitative Phycology, University of Barcelona, Barcelona, Spain.
Gudberg K JonssonHuman Behavior Laboratory, School of Health Sciences, University of Iceland, Reykjavík, Iceland.
Antonio ArdáDepartment of Physical and Sport Education, University of A Coruña, A Coruña, Spain.
Iyán Iván-BaragañoDepartment of Sports Sciences, Faculty of Medicine, Health and Sports, European University of Madrid, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study represents one of the first attempts to apply association rule mining to the analysis of ball possession in professional men's football. The goal was to uncover hidden patterns among key tactical variables influencing possession success. Methods: Using observational methodology, 2,324 ball possessions from the UEFA Euro 2020 championship were analyzed. The Apriori algorithm was applied to generate a total of 4,818 association rules, focusing on variables such as possession time, tactical intent, and field zones where possession occurred. Results: The results show that short possessions, with the intent to progress and developed in advanced zones of the field, are strongly associated with successful outcomes. This is reflected in high lift values (up to 40) and strong confidence levels. In contrast, long possessions in offensive zones did not consistently correlate with success. Discussion: These findings suggest that possession duration alone is not a reliable predictor of success. Instead, the combination of short possessions, in advanced zones, and with progressive intent, is more closely associated with positive outcomes. Association rule mining emerges as a valid and interpretable tool to support decision-making in elite football.

Indexed as

association rulesfootballobservational methodologyperformance analysissoccer

Identifiers

PMID40584078
PMCPMC12202345

What OpenQuestion holds

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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.