Sports Medicine

, Volume 45, Issue 10, pp 1431–1441 | Cite as

Age of Peak Competitive Performance of Elite Athletes: A Systematic Review

  • Sian V. AllenEmail author
  • Will G. Hopkins
Systematic Review



Knowledge of the age at which elite athletes achieve peak performance could provide important information for long-term athlete development programmes, event selection and strategic decisions regarding resource allocation.


The objective of this study was to systematically review published estimates of age of peak performance of elite athletes in the twenty-first century.


We searched SPORTDiscus, PubMed and Google Scholar for studies providing estimates of age of peak performance. Here we report estimates as means only for top (international senior) athletes. Estimates were assigned to three event-type categories on the basis of the predominant attributes required for success in the given event (explosive power/sprint, endurance, mixed/skill) and then plotted by event duration for analysis of trends.


For both sexes, linear trends reasonably approximated the relationships between event duration and estimates of age of peak performance for explosive power/sprint events and for endurance events. In explosive power/sprint events, estimates decreased with increasing event duration, ranging from ~27 years (athletics throws, ~1–5 s) to ~20 years (swimming, ~21–245 s). Conversely, estimates for endurance events increased with increasing event duration, ranging from ~20 years (swimming, ~2–15 min) to ~39 years (ultra-distance cycling, ~27–29 h). There was little difference in estimates of peak age for these event types between men and women. Estimations of the age of peak performance for athletes specialising in specific events and of event durations that may best suit talent identification of athletes can be obtained from the equations of the linear trends. There were insufficient data to investigate trends for mixed/skill events.


Differences in the attributes required for success in different sporting events likely contribute to the wide range of peak-performance ages of elite athletes. Understanding the relationships between age of peak competitive performance and event duration should be useful for tracking athlete progression and talent identification.


Endurance Event Elite Athlete Event Duration Peak Performance Tennis Player 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Compliance with ethical standards

Neither author (Sian V. Allen or Will G. Hopkins) has any conflicts of interest to declare with regard to this publication. No funding was received for the conduct of this review and/or the preparation of this manuscript.


  1. 1.
    Schulz R, Curnow C. Peak performance and age among superathletes: track and field, swimming, baseball, tennis, and golf. J Gerontol. 1988;43:113–20.CrossRefGoogle Scholar
  2. 2.
    Rüst CA, Knechtle B, Knechtle P, et al. Age of peak performance in elite male and female Ironman triathletes competing in Ironman Switzerland, a qualifier for the Ironman world championship, Ironman Hawaii, from 1995 to 2011. Open Access J Sports Med. 2012;3:175–82.PubMedCentralPubMedGoogle Scholar
  3. 3.
    Sokolovas G. When will you peak? Swimming World Magazine. 2006;47:37–8.Google Scholar
  4. 4.
    Allen SV, Vandenbogaerde TJ, Hopkins WG. Career performance trajectories of Olympic swimmers: benchmarks for talent development. Eur J Sports Sci. 2014;14:643–51.CrossRefGoogle Scholar
  5. 5.
    Hollings SC, Hopkins WG, Hume PA. Age at peak performance of successful track and field athletes. Int J Sports Sci Coach. 2014;9:651–62.CrossRefGoogle Scholar
  6. 6.
    Schulz R, Musa D, Staszewski J, et al. The relationship between age and major league baseball performance: implications for development. Psychol Aging. 1994;9:274–86.CrossRefPubMedGoogle Scholar
  7. 7.
    Simonton DK. Age and outstanding achievement: what do we know after a century of research? Psychol Bull. 1988;104:251–67.CrossRefPubMedGoogle Scholar
  8. 8.
    Gabbard C. Lifelong motor development. San Francisco: Benjamin Cummings; 2004.Google Scholar
  9. 9.
    Salthouse TA. Consequences of age-related cognitive declines. Annu Rev Psychol. 2012;63:201–26.PubMedCentralCrossRefPubMedGoogle Scholar
  10. 10.
    Vaeyens R, Güllich A, Warr CR, et al. Talent identification and promotion programmes of Olympic athletes. J Sports Sci. 2009;27:1367–80.CrossRefPubMedGoogle Scholar
  11. 11.
    Fair RC. Estimated age effects in baseball. J Quant Anal Sports. 2008;4(1):article 1. doi: 10.2202/1559-0410.1074.
  12. 12.
    Shoak MA, Knechtle B, Knechtle P, et al. Participation and performance trends in ultracycling. Open Access J Sports Med. 2013;4:41–51.PubMedCentralPubMedGoogle Scholar
  13. 13.
    Knechtle B, Rüst CA, Rosemann T, et al. Age-related changes in 100-km ultra-marathon running performance. Age. 2012;34:1033–45.PubMedCentralCrossRefPubMedGoogle Scholar
  14. 14.
    Kovalchik SA. The older they rise the younger they fall: Age and performance trends in men’s professional tennis from 1991 to 2012. J Quant Anal Sports. 2014;10:99–107.Google Scholar
  15. 15.
    Rüst CA, Knechtle B, Rosemann T, et al. Sex difference in race performance and age of peak performance in the Ironman Triathlon World Championship from 1983 to 2012. Extrem Physiol Med. 2012;1(1):15. doi: 10.1186/2046-7648-1-15.
  16. 16.
    Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151:264–9.CrossRefPubMedGoogle Scholar
  17. 17.
    Brander JA, Egan EJ, Yeung L. Estimating the effects of age on NHL player performance. J Quant Anal Sports. 2014;10:241–59.Google Scholar
  18. 18.
    Fried HO, Tauer LW. The impact of age on the ability to perform under pressure: golfers on the PGA tour. J Prod Anal. 2011;35:75–84.CrossRefGoogle Scholar
  19. 19.
    Wolfrum M, Knechtle B, Rüst CA, et al. Sex-related differences and age of peak performance in breaststroke versus freestyle swimming. BMC Sports Sci Med Rehabil. 2013;5:29. doi: 10.1186/2052-1847-5-29.PubMedCentralCrossRefPubMedGoogle Scholar
  20. 20.
    Malcata RM, Hopkins WG, Pearson SN. Tracking career performance of successful triathletes. Med Sci Sports Exerc. 2014;46:1227–34.CrossRefPubMedGoogle Scholar
  21. 21.
    Cejka N, Knechtle B, Rüst CA, et al. Performances and age of the fastest female and male 100-km Ultramarathoners worldwide from 1960 to 2012. J Strength Cond Res. 2015;29:1180–90. doi: 10.1519/JSC.0000000000000370.CrossRefPubMedGoogle Scholar
  22. 22.
    Hunter SK, Stevens AA, Magennis K, et al. Is there a sex difference in the age of elite marathon runners? Med Sci Sports Exerc. 2011;43:656–64.CrossRefPubMedGoogle Scholar
  23. 23.
    Rüst CA, Knechtle B, Rosemann T, et al. Analysis of performance and age of the fastest 100-mile ultra-marathoners worldwide. Clinics. 2013;68:605–11.PubMedCentralCrossRefPubMedGoogle Scholar
  24. 24.
    Anderson A. Early identification of talent in cyclo-cross by estimating age-independent ability via probit regression. Int J Perform Anal Sport. 2014;14:153–61.Google Scholar
  25. 25.
    Berthelot G, Len S, Hellard P, et al. Exponential growth combined with exponential decline explains lifetime performance evolution in individual and human species. Age. 2012;34:1001–9.PubMedCentralCrossRefPubMedGoogle Scholar
  26. 26.
    Tilinger P, Kovář K, Hlavatá P. A study on the dynamic progress of performances of prominent world-class athletes in selected track-and-field events. Kinesiology. 2005;37:92–8.Google Scholar
  27. 27.
    Guillaume M, Len S, Tafflet M, et al. Success and decline: top 10 tennis players follow a biphasic course. Med Sci Sports Exerc. 2011;43:2148–54.CrossRefPubMedGoogle Scholar
  28. 28.
    Tiruneh G. Age and winning professional golf tournaments. J Quant Anal Sports. 2010;6. doi: 10.2202/1559-0410.1209.
  29. 29.
    Hopkins WG. Spreadsheets for analysis of controlled trials with adjustment for a predictor. Sportscience. 2006;10:46–50.Google Scholar
  30. 30.
    Hopkins WG, Marshall SW, Batterham AM, et al. Progressive statistics for studies in sports medicine and exercise science. Med Sci Sports Exerc. 2009;41:3–12.CrossRefPubMedGoogle Scholar
  31. 31.
    Smith TB, Hopkins WG. Variability and predictability of finals times of elite rowers. Med Sci Sport Exerc. 2011;43:2155–60.CrossRefGoogle Scholar
  32. 32.
    Batterham AM, Hopkins WG. Making meaningful inferences about magnitudes. Int J Sports Physiol Perform. 2006;1:50–7.PubMedGoogle Scholar
  33. 33.
    Bartlett R. Introduction to sports biomechanics: analysing human movement patterns. 2nd ed. Oxford: Routledge; 2007.Google Scholar
  34. 34.
    Barbosa TM, Costa MJ, Marinho DA. Proposal of a deterministic model to explain swimming performance. Int J Swim Kinet. 2013;2:1–54.Google Scholar
  35. 35.
    Figueiredo P, Pendergast DR, Vilas-Boas JP, et al. Interplay of biomechanical, energetic, coordinative, and muscular factors in a 200 m front crawl swim. Biomed Res Int. 2013;2013:897232. doi: 10.1155/2013/897232.PubMedCentralPubMedGoogle Scholar
  36. 36.
    Balyi I. Specialization in sport, a tricky business. Canadian Sport For Life; 2010. Accessed 22 Sept 2014.
  37. 37.
    Lepers R, Sultana F, Bernard T, et al. Age-related changes in triathlon performances. Int J Sports Med. 2010;31:251–6.CrossRefPubMedGoogle Scholar
  38. 38.
    Zaryski C, Smith DJ. Training principles and issues for ultra-endurance athletes. Curr Sports Med Rep. 2005;4:165–70.CrossRefPubMedGoogle Scholar
  39. 39.
    Gastin P. Energy system interaction and relative contribution during maximal exercise. Sports Med. 2001;31:725–41.CrossRefPubMedGoogle Scholar
  40. 40.
    Baxter-Jones ADG, Sherar LB. Growth and maturation. In: Armstrong N, editor. Paediatric exercise physiology. Edinburgh: Elsevier Limited; 2006. p. 1–30.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.High Performance Sport New ZealandMillennium Institute of Sport and HealthAucklandNew Zealand
  2. 2.Sports Performance Research Institute New ZealandAUT UniversityAucklandNew Zealand
  3. 3.Victoria UniversityMelbourneAustralia

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