Evidence map›Paper›PMID 42031972›Full record

ArticleScientific reports2026

Offensive transitions in football as a decisive way to obtain goals in Top, Marginal and Emerging leagues.

Pedro Eusebio, Pablo Prieto-González, Rui Marcelino

Abstract read
In one paragraph

Article in Scientific reports, 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

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Pedro EusebioUniversity of Maia, Maia, Portugal. eusebio.pedro@gmail.com.
Pablo Prieto-GonzálezSport Sciences and Diagnostics Research Group, Prince Sultan University, Riyadh, 11586, Saudi Arabia.
Rui MarcelinoUniversity of Maia, Maia, Portugal. rmarcelino@umaia.pt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Offensive transitions in modern football have been identified as a decisive moment in a game, as they offer a high potential for scoring goals and creating defensive imbalances. To investigate the impact of offensive transitions on the performance of different national football leagues, this study analyzed data from 1151 games belonging to nine leagues/countries, which were divided into three categories: Top, Marginal, and Emerging. The classification of leagues (Top, Marginal, Emerging) is used as a proxy for competitive context rather than a direct measure of tactical quality. A total of 3497 goals were scored in these games, and they were classified according to their origin, including: (i) non-offensive transitions (NT), (ii) direct offensive transitions (OT), (iii) set pieces (SP), and (iv) positive outcomes of offensive transitions (POS OUT). Results showed that Top Leagues scored significantly more goals from offensive transitions (mean difference of 0.28 goals per game compared to Marginal Leagues, 95% CI [0.14; 0.41], and compared to Emerging Leagues, 95% CI [0.12; 0.44], respectively) and exhibited a higher goal-scoring rate from combined offensive transitions (OT + POS OUT = 53%) compared to the Emerging (42%) and Marginal Leagues (43%). Furthermore, Emerging and Marginal Leagues performed better in terms of goals scored from non-offensive transitions and set pieces, suggesting the presence of specific characteristics in these leagues. In conclusion, this study demonstrates the differential role of offensive transitions across national football leagues and the systematic variation in their contribution to goal-scoring across competitive contexts. These findings indicate that offensive transition effectiveness varies systematically across competitive contexts, and that motion analysis technology and optical sensors represent methodological avenues for further investigation of the underlying tactical and organizational determinants.

Indexed as

Athletic PerformanceCompetitive BehaviorSoccerGoalsHumansCounterattacksGame momentsMotion sensorsOffensive/defensive processesOptical sensorsPlaying patternsSoccerSpatial patternsTactical strategies

Identifiers

PMID42031972
PMCPMC13275802

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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.