Junior performance efficiency in relation to professional ranking entry and career-high ranking in male tennis players

Identifying junior performance characteristics associated with subsequent professional ranking outcomes remains an important challenge in tennis player development. This retrospective observational study examined associations between junior performance indicators and two distinct professional ranking outcomes: (1) entry into the professional ranking system and (2) subsequent career-high professional singles ranking category, with particular focus on ranking-point efficiency expressed as points per event (PPE). The sample comprised 696 male junior tennis players represented by 989 player-season records from the ITF World Tennis Tour Junior Year-End Rankings. Professional ranking entry was analysed using logistic regression, whereas career-high ranking category was analysed using ordinal proportional-odds logistic regression. Of the 696 players, 653 (93.8%) entered the professional ranking system. Under the primary parsimonious linear specification, higher mean PPE was associated with professional ranking entry (summary OR = 1.14, 95% CI 1.03–1.25, p = .009). Restricted-cubic-spline analysis indicated departure from linearity ( p = .009); consequently, the linear OR should be interpreted as an overall summary estimate rather than as a constant effect across the observed PPE range, and no discrete threshold or change point was identified. The association was attenuated and statistically imprecise after inclusion of a temporal/cohort proxy (OR = 1.08, 95% CI 0.98–1.19, p = .127), and estimates based on within-year standardisation of PPE were also imprecise. In contrast, higher mean PPE was associated with better career-high ranking category (OR = 1.06, 95% CI 1.04–1.08, p < .001), and this association remained stable after temporal/cohort adjustment and within-year standardisation. Adding mean PPE to models containing conventional junior ranking, maximum total ranking points, and event participation produced modest incremental improvement for professional ranking entry and clearer improvement in model fit for career-high ranking category. A stricter binary sensitivity analysis defining professional attainment as achieving a career-high Top-500 ranking also retained a positive association with mean PPE (OR = 1.08, 95% CI 1.05–1.11, p < .001). Overall, PPE provided complementary information about junior ranking-efficiency profiles, with more robust evidence for subsequent career-high ranking differentiation than for initial professional ranking entry. PPE should therefore not be interpreted as a standalone decision rule, selection threshold, or indicator of long-term professional potential.

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Journal
BMC Sports Science Medicine and Rehabilitation
Published
2026-09-17
DOI
https://doi.org/10.1186/s13102-026-02075-z
Primary Topic
Sports Analytics and Performance
Type
article
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article

Junior performance efficiency in relation to professional ranking entry and career-high ranking in male tennis players

Michal Bozděch, Tatiana Gombarčíková, Alena Kostelníková, Noemi Knapová et al.
BMC Sports Science Medicine and Rehabilitation
Sports Analytics and Performance
article

Junior performance efficiency in relation to professional ranking entry and career-high ranking in male tennis players

Michal Bozděch, Tatiana Gombarčíková, Alena Kostelníková, Noemi Knapová, Martina Magyarová
article en

Abstract

Identifying junior performance characteristics associated with subsequent professional ranking outcomes remains an important challenge in tennis player development. This retrospective observational study examined associations between junior performance indicators and two distinct professional ranking outcomes: (1) entry into the professional ranking system and (2) subsequent career-high professional singles ranking category, with particular focus on ranking-point efficiency expressed as points per event (PPE). The sample comprised 696 male junior tennis players represented by 989 player-season records from the ITF World Tennis Tour Junior Year-End Rankings. Professional ranking entry was analysed using logistic regression, whereas career-high ranking category was analysed using ordinal proportional-odds logistic regression. Of the 696 players, 653 (93.8%) entered the professional ranking system. Under the primary parsimonious linear specification, higher mean PPE was associated with professional ranking entry (summary OR = 1.14, 95% CI 1.03–1.25, p = .009). Restricted-cubic-spline analysis indicated departure from linearity ( p = .009); consequently, the linear OR should be interpreted as an overall summary estimate rather than as a constant effect across the observed PPE range, and no discrete threshold or change point was identified. The association was attenuated and statistically imprecise after inclusion of a temporal/cohort proxy (OR = 1.08, 95% CI 0.98–1.19, p = .127), and estimates based on within-year standardisation of PPE were also imprecise. In contrast, higher mean PPE was associated with better career-high ranking category (OR = 1.06, 95% CI 1.04–1.08, p < .001), and this association remained stable after temporal/cohort adjustment and within-year standardisation. Adding mean PPE to models containing conventional junior ranking, maximum total ranking points, and event participation produced modest incremental improvement for professional ranking entry and clearer improvement in model fit for career-high ranking category. A stricter binary sensitivity analysis defining professional attainment as achieving a career-high Top-500 ranking also retained a positive association with mean PPE (OR = 1.08, 95% CI 1.05–1.11, p < .001). Overall, PPE provided complementary information about junior ranking-efficiency profiles, with more robust evidence for subsequent career-high ranking differentiation than for initial professional ranking entry. PPE should therefore not be interpreted as a standalone decision rule, selection threshold, or indicator of long-term professional potential.

BMC Sports Science Medicine and Rehabilitation
Masaryk University (CZ)
Openalex Percentile: Top 6%
Sports Analytics and Performance
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