Int J Sports Med
DOI: 10.1055/a-2722-7414
Training & Testing

Total Genotype Score Relates to Playing Time and Starter Role in Football: a Pilot Study

Authors

  • David Varillas-Delgado

    1   Faculty of Health Sciences, Universidad Francisco de Vitoria, Pozuelo de Alarcón, Spain (Ringgold ID: RIN16447)
  • Arturo Franco-Andrés

    1   Faculty of Health Sciences, Universidad Francisco de Vitoria, Pozuelo de Alarcón, Spain (Ringgold ID: RIN16447)
  • Jaime González-García

    1   Faculty of Health Sciences, Universidad Francisco de Vitoria, Pozuelo de Alarcón, Spain (Ringgold ID: RIN16447)
    2   Performance Area, Royal Spanish Football Federation, Las Rozas, Spain (Ringgold ID: RIN16447)

ABSTRACT

The aims of this research were to identify the relationships between the total genotype score and the total competition time as well as the total and relative distances covered during competition at different speed thresholds and to examine the probability of being a starter or a non-starter based on the total genotype score. A prospective pilot study was conducted with 34 professional male football players competing in the Spanish second division across three consecutive seasons. DNA samples were genotyped for six muscle performance-related polymorphisms, and the total genotype score values were calculated. The total competition time and competition distances at different speed thresholds were evaluated. A total genotype score threshold of 75.0 a.u. discriminated starters with an area under the curve of 0.689. Players with higher total genotype scores (total genotype scores: >75.0) accumulated more matches played (p=0.002), more matches played as starters (p=0.009), greater playing time (p=0.009), and higher total distances covered (p=0.009). Players above this threshold were five times more likely to be starters (odds ratio=5.00, 95% confidence interval: 1.31–19.07, and p=0.030). The total genotype score was related to the number of matches played (β=1.088 and p=0.006), matches as starters (β=1.087 and p=0.004), playing time (β=28.1 and p=0.018), and distances covered during the seasons (β=3116 and p=0.01). Genetic profiling was associated with starter status. Integrating genetic and global positioning system data provided a novel approach for player development and talent identification in elite sports.



Publication History

Received: 16 January 2025

Accepted after revision: 13 October 2025

Accepted Manuscript online:
13 October 2025

Article published online:
18 November 2025

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