Evidence map›Paper›PMID 42889201›Full record

ArticleFrontiers in public health2026

Injury characteristics and pre- to post-injury market-value change in professional football: a retrospective cohort study of 12,948 injury episodes.

Celal Gençoğlu, Hikmet Gümüş, Zarife Pancar, Yücel Makaracı

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Article in Frontiers in public health, 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

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Celal GençoğluPhysical Education and Sports Department, Necat Hepkon Faculty of Sport Sciences, Dokuz Eylül University, İzmir, Türkiye.
Hikmet GümüşDepartment of Coach Education, Necat Hepkon Faculty of Sport Sciences, Dokuz Eylül University, İzmir, Türkiye.
Zarife PancarDepartment of Physical Education and Sports, Faculty of Sports Science, Gaziantep University, Gaziantep, Türkiye.
Yücel MakaracıDepartment of Coaching Education, Faculty of Sports Sciences, Karamanoğlu Mehmetbey University, Karaman, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Player market value is a key indicator of a professional football player's sporting and economic worth, yet how injury characteristics relate to the change in valuation after an injury remains poorly understood. Methods: This retrospective cohort study examined the association between injury characteristics and the pre- to post-injury change in market value using Transfermarkt data. The cohort comprised the complete injury histories (July 2008 to August 2024) of the 2,624 players listed in the 2024 squads of the English, Spanish, Italian, German and French top divisions; 12,948 injury episodes from 2,061 players had a valuation in effect 120 days before the injury start and a valuation update after the 120 days following the injury end, and the outcome was the percentage change between these two valuations. Kruskal-Wallis tests with effect sizes, Dunn pairwise comparisons and linear regression models with player-clustered standard errors were used; age interactions were tested with joint Wald tests, and an exploratory matched-control comparison assessed differences in log-value change between injured players and injury-free player-periods matched on league, position group, age and baseline market value. Results: The median change was 0.0% (interquartile range -25.0 to 66.7) and the mean 64.7%. Differences between injury categories and between duration groups were statistically significant but negligible in size (η Discussion: Injury duration, rather than injury category, is associated with a modest injury-related shortfall in market value; the findings are associational and hypothesis-generating.

Indexed as

Athletic InjuriesSoccerAdultHumansMaleRetrospective Studiesfootball analyticsfootball injuriesinjury burdenplayer market valuetransfer market

Identifiers

PMID42889201
PMCPMC13669201

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