Skip to content
DraconiticResearch
Search Sources API
194,226 studies31 sourcesUpdated 34 min ago
Peer-reviewedCC BYFrontiers in public health

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

4 affiliations
  1. 1Physical Education and Sports Department, Necat Hepkon Faculty of Sport Sciences, Dokuz Eylül University , ,
  2. 2Department of Coach Education, Necat Hepkon Faculty of Sport Sciences, Dokuz Eylül University , ,
  3. 3Department of Physical Education and Sports, Faculty of Sports Science, Gaziantep University , ,
  4. 4Department of Coaching Education, Faculty of Sports Sciences, Karamanoğlu Mehmetbey University , ,

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 ² H ≤ 0.0025), whereas age accounted for a large share of the variation (η ² H = 0.222). In the fully adjusted model each year of age was associated with −18.2 percentage points, and injuries of 31–90 and >90 days with −23.6 and −26.4 percentage points lower change than injuries of 1–14 days; injury category was not associated with the change, and no age-by-category or age-by-duration interaction was found ( p = 0.940 and p = 0.125). In the matched-control analysis injured players showed −4.4% lower value growth than controls, reaching −26.9% for injuries longer than 90 days.

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.

Related

  1. Long‐term market value after meniscal injury in professional football players largely follows expected career trajectories: A matched cohort study
    Riccardo D'Ambrosi, Jacopo Conteduca, Andrea Mei +4
    Journal of experimental orthopaedicsPeer-reviewedCC BYFull textSurgery & anaesthesiaEurope PMCEurope PMCPMC
  2. Injury and illness in non-football collegiate athletics: a single university, 8-year descriptive retrospective analysis
    Dani Gonzalez, Zachary Weatherford, Nicholas Bettencourt +5
    Scientific ReportsPeer-reviewedCC BYFull textSurgery & anaesthesiaDOAJ
  3. Does Preseason Training Load Shape Body Composition? External Load, Internal Load, and Fatigue in Semi-Professional Football Players.
    José Carlos Ponce-Bordón, Jorge Polo-Tejada, David Lobo-Triviño +1
    Journal of functional morphology and kinesiologyPeer-reviewedCC BYFull textSurgery & anaesthesiaEurope PMC
  4. Tell me the match context, and I’ll tell you how much the team will run, or should have run: an update and divisional extension of a predictive running model for Spanish professional football
    Julen Castellano, Roberto López-Del Campo, Ricardo Resta +1
    Biology of SportPeer-reviewedCC BY 4.0Full textSurgery & anaesthesiaPMC
  5. Peripheral Nerve Conduction and Anthropometric Characteristics in Elite American Football Players: An Exploratory Cross-Sectional Study
    Mehtap Erdogan, Elif Sarıca Darol, Murat Alemdar
    Diagnostics (Basel, Switzerland)Peer-reviewedCC BYFull textGeneral medicineEurope PMC
BibTeX
@article{gencoglu2026injury,
  title = {{Injury characteristics and pre- to post-injury market-value change in professional football: a retrospective cohort study of 12,948 injury episodes}},
  author = {Celal Gençoğlu and Hikmet Gümüş and Zarife Pancar and Yücel Makaracı},
  journal = {Frontiers in public health},
  year = {2026},
  month = oct,
  doi = {10.3389/fpubh.2026.1966215},
  url = {https://europepmc.org/article/PMC/PMC13669201},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Injury characteristics and pre- to post-injury market-value change in professional football: a retrospective cohort study of 12,948 injury episodes
AU  - Celal Gençoğlu
AU  - Hikmet Gümüş
AU  - Zarife Pancar
AU  - Yücel Makaracı
PY  - 2026
DA  - 2026/10/01
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1966215
UR  - https://europepmc.org/article/PMC/PMC13669201
AB  - 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 ² H ≤ 0.0025), whereas age accounted for a large share of the variation (η ² H = 0.222). In the fully adjusted model each year of age was associated with −18.2 percentage points, and injuries of 31–90 and >90 days with −23.6 and −26.4 percentage points lower change than injuries of 1–14 days; injury category was not associated with the change, and no age-by-category or age-by-duration interaction was found ( p = 0.940 and p = 0.125). In the matched-control analysis injured players showed −4.4% lower value growth than controls, reaching −26.9% for injuries longer than 90 days.  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.
SN  - 2296-2565
ER  -