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Pacing Decision Making in Sport and the Effects of Interpersonal Competition: A Critical Review

Abstract

An athlete’s pacing strategy is widely recognised as an essential determinant for performance during individual events. Previous research focussed on the importance of internal bodily state feedback, revealed optimal pacing strategies in time-trial exercise, and explored concepts such as teleoanticipation and template formation. Recently, human–environment interactions have additionally been emphasized as a crucial determinant for pacing, yet how they affect pacing is not well understood. Therefore, this literature review focussed on exploring one of the most important human–environment interactions in sport competitions: the interaction among competitors. The existing literature regarding the regulation of exercise intensity and the effect of competition on pacing and performance is critically reviewed in this paper. The PubMed, CINAHL and Web of Science electronic databases were searched for studies about pacing in sports and (interpersonal) competition between January 2000 to October 2017, using the following combination of terms: (1) Sports AND (2) Pacing, resulting in 75 included papers. The behaviour of opponents was shown to be an essential determinant in the regulation of exercise intensity, based on both observational (N = 59) and experimental (N = 16) studies. However, adjustment in the pacing response related to other competitors appears to depend on the competitive situation and the current internal state of the athlete. The findings of this review emphasize the importance of what is happening around the athlete for the outcome of the decision-making process involved in pacing, and highlight the necessity to incorporate human–environment interactions into models that attempt to explain the regulation of exercise intensity in sports and exercise.

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References

  1. 1.

    Edwards AM, Polman RC. Pacing and awareness: brain regulation of physical activity. Sports Med. 2013;43:1057–64.

  2. 2.

    Abbiss CR, Laursen PB. Describing and understanding pacing strategies during athletic competition. Sports Med. 2008;38:239–52.

  3. 3.

    van Ingen Schenau GJ, Cavanagh P. Power equations in endurance sports. J Biomech. 1990;23:865–81.

  4. 4.

    De Koning JJ, Foster C, Lampen J, Hettinga FJ, Bobbert MF. Experimental evaluation of the power balance model of speed skating. J Appl Physiol. 2005;98:227–33.

  5. 5.

    Van Ingen Schenau GJ, De Koning JJ, De Groot G. A simulation of speed skating performances based on a power equation. Med Sci Sports Exerc. 1990;22:718–28.

  6. 6.

    De Koning JJ, De Groot G, Van Ingen Schenau GJ. A power equation for the sprint in speed skating. J Biomech. 1992;25:573–80.

  7. 7.

    Hettinga FJ, De Koning JJ, Broersen FT, Van Geffen P, Foster C. Pacing strategy and the occurence of fatigue in 4000-m cycling time trials. Med Sci Sports Exerc. 2006;38:1484–91.

  8. 8.

    Hettinga FJ, De Koning JJ, Schmidt L, Wind N, Macintosh BR, Foster C. Optimal pacing strategy: from theoretical modelling to reality in 1500-m speed skating. Br J Sports Med. 2011;45:30–5.

  9. 9.

    Hettinga FJ, De Koning JJ, Hulleman M, Foster C. Relative importance of pacing strategy and mean power output in 1500-m self-paced cycling. Br J Sports Med. 2012;46:30–5.

  10. 10.

    Smits BL, Pepping G-J, Hettinga FJ. Pacing and decision making in sport and exercise: the roles of perception and action in the regulation of exercise intensity. Sports Med. 2014;44:763–75.

  11. 11.

    Renfree A, Martin L, Micklewright D, St Clair Gibson A. Application of decision-making theory to the regulation of muscular work rate during self-paced competitive endurance activity. Sports Med. 2014;44:147–58.

  12. 12.

    Hettinga FJ, Konings MJ, Pepping G-J. The science of racing against opponents: affordance competition and the regulation of exercise intensity in head-to-head competition. Front Physiol. 2017;8:118.

  13. 13.

    Micklewright D, Kegerreis S, Raglin J, Hettinga FJ. Will the conscious-subconscious pacing quagmire help elucidate the mechanisms of self-paced exercise? New opportunities in dual process theory and process tracing methods. Sports Med. 2017;47:1231–9.

  14. 14.

    Venhorst A, Micklewright D, Noakes TD. Towards a three-dimensional framework of centrally regulated and goal-directed exercise behaviour: a narrative review. Br J Sports Med. 2017. https://doi.org/10.1136/bjsports-2016-096907.

  15. 15.

    Hill A, Long C, Lupton H. Muscular exercise, lactic acid, and the supply and utilisation of oxygen. Proc R Soc B Biol Sci. 1924;97:84–138.

  16. 16.

    Hill A, Lupton H. Muscular exercise, lactic acid, and the supply and utilization of oxygen. QJM. 1923;16:os-135–71.

  17. 17.

    Noakes TD. Physiological models to understand exercise fatigue and the adaptations that predict or enhance athletic performance. Scand J Med Sci Sports. 2000;10:123–45.

  18. 18.

    Ulmer H. Concept of an extracellular regulation of muscular metabolic rate during heavy exercise in humans by psychophysiological feedback. Experientia. 1996;52:416–20.

  19. 19.

    Noakes TD, St Clair Gibson A. Logical limitations to the “catastrophe” models of fatigue during exercise in humans. Br J Sports Med. 2004;38:648–9.

  20. 20.

    Noakes TD, St Clair Gibson A, Lambert EV. From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions. Br J Sports Med. 2005;39:120–4.

  21. 21.

    Lambert EV, St Clair Gibson A, Noakes TD. Complex systems model of fatigue: integrative homoeostatic control of peripheral physiological systems during exercise in humans. Br J Sports Med. 2005;39:52–62.

  22. 22.

    Tucker R. The anticipatory regulation of performance: the physiological basis for pacing strategies and the development of a perception-based model for exercise performance. Br J Sports Med. 2009;43:392–400.

  23. 23.

    Noakes TD. Time to move beyond a brainless exercise physiology: the evidence for complex regulation of human exercise performance. Appl Physiol Nutr Metab. 2011;36:23–35.

  24. 24.

    St Clair Gibson A, Noakes TD. Evidence for complex system integration and dynamic neural regulation of skeletal muscle recruitment during exercise in humans. Br J Sports Med. 2004;38:797–806.

  25. 25.

    Tucker R, Bester A, Lambert EV, Noakes TD, Vaughan C, St Clair Gibson A. Non-random fluctuations in power output during self-paced exercise. Br J Sports Med. 2006;40:912–7.

  26. 26.

    St Clair Gibson A, Swart J, Tucker R. The interaction of psychological and physiological homeostatic drives and role of general control principles in the regulation of physiological systems, exercise and the fatigue process—the integrative governor theory. Eur J Sport Sci. 2017;18(1):25–36.

  27. 27.

    Esteve-Lanao J, Lucía A, Foster C. How do humans control physiological strain during strenuous endurance exercise? PLoS One. 2008;3:e2943.

  28. 28.

    Marcora SM. Do we really need a central governor to explain brain regulation of exercise performance? Eur J Appl Physiol. 2008;104:929–31.

  29. 29.

    Marcora SM. Counterpoint: afferent feedback from fatigued locomotor muscles is not an important determinant of endurance exercise performance. J Appl Physiol. 2010;108:454–6.

  30. 30.

    Tversky A, Kahneman D. Judgment under uncertainty: heuristics and biases. Science. 1974;185:1124–31.

  31. 31.

    Kahneman D. Thinking, fast and slow. New York: Farrar, Straus & Giroux Inc; 2011.

  32. 32.

    Gibson JJ. The senses considered as perceptual systems. Boston: Houghton Mifflin; 1966.

  33. 33.

    Gibson JJ. A theory of direct visual perception. In: Royce J, Rozenboom W, editors. Psychology of knowing. New York: Gordon & Breach; 1972.

  34. 34.

    Smith J, Pepping GJ. Effects of affordance perception on the initiation and actualization of action. Ecol Psychol. 2010;22:119–49.

  35. 35.

    Foster C, De Koning JJ, Hettinga FJ, Lampen J, Dodge C, Bobbert MF, et al. Effect of competitive distance on energy expenditure during simulated competition. Int J Sports Med. 2004;25:198–204.

  36. 36.

    Muehlbauer T, Panzer S, Schindler C. Pacing pattern and speed skating performance in competitive long-distance events. J Strength Cond Res. 2010;24:114–9.

  37. 37.

    Muehlbauer T, Schindler C, Panzer S. Pacing and performance in competitive middle-distance speed skating. Res Q Exerc Sport. 2010;81:1–6.

  38. 38.

    Muehlbauer T, Schindler C, Panzer S. Pacing and sprint performance in speed skating during a competitive season. Int J Sports Physiol Perform. 2010;5:165–76.

  39. 39.

    Corbett J. An analysis of the pacing strategies adopted by elite athletes during track cycling. Int J Sports Physiol Perform. 2009;4:195–205.

  40. 40.

    Wright R. Positive pacing strategies are utilized by elite male and female para-cyclists in short time trials in the velodrome. Front Physiol. 2016;6:425.

  41. 41.

    Stoter IK, MacIntosh BR, Fletcher JR, Pootz S, Zijdewind I, Hettinga FJ. Pacing strategy, muscle fatigue and technique in 1500 m speed skating and cycling time-trials. Int J Sports Physiol Perform. 2016;11:337–43.

  42. 42.

    Wiersma R, Stoter IK, Visscher C, Hettinga FJ, Elferink-Gemser MT. Development of 1500 m pacing behavior in junior speed skaters: a longitudinal study. Int J Sports Physiol Perform. 2017;12(9):1224–31.

  43. 43.

    Thiel C, Foster C, Banzer W, De Koning JJ. Pacing in Olympic track races: competitive tactics versus best performance strategy. J Sports Sci. 2012;30:1107–15.

  44. 44.

    Renfree A, Mytton GJ, Skorski S, St Clair Gibson A. Tactical considerations in the middle-distance running events at the 2012 olympic games: a case stud. Int J Sports Physiol Perform. 2014;9:362–4.

  45. 45.

    Jones AM, Whipp B. Bioenergetic constraints on tactical decision making in middle distance running. Br J Sports Med. 2002;36:102–4.

  46. 46.

    Mauger AR, Neuloh J, Castle PC. Analysis of pacing strategy selection in elite 400-m freestyle swimming. Med Sci Sports Exerc. 2012;44:2205–12.

  47. 47.

    Skorski S, Faude O, Abbiss CR, Caviezel S, Wengert N, Meyer T. Influence of pacing manipulation on performance of juniors in simulated 400 m swim competition. Int J Sports Physiol Perform. 2014;8:817–24.

  48. 48.

    Mytton GJ, Archer DT, Turner LA, Skorski S, Thompson KG, St Clair Gibson A. Increased variability of lap speeds differentiate medallists and non-medallists in middle distance running and swimming events. Int J Sports Physiol Perform. 2015;10:369–73.

  49. 49.

    Lipińska P, Allen SV, Hopkins WG. Modeling parameters that characterize pacing of elite female 800-m freestyle swimmers. Eur J Sport Sci. 2016;16:287–92.

  50. 50.

    Lipińska P, Allen SV, Hopkins WG. Relationships between pacing parameters and performance of elite male 1500-m swimmers. Int J Sports Physiol Perform. 2016;11:159–63.

  51. 51.

    Taylor JB, Santi G, Mellalieu SD. Freestyle race pacing strategies (400 m) of elite able-bodied swimmers and swimmers with disability at major international championships. J Sports Sci. 2016;34:1913–20.

  52. 52.

    Nikolaidis PT, Knechtle B. Pacing in age-group freestyle swimmers at The XV FINA World Masters Championships in Montreal 2014. J Sports Sci. 2017;35:1165–72.

  53. 53.

    Lipinska P, Hopkins WG. Pacing profiles and competitive performance of elite female 400-m freestyle swimmers. J Strength Cond Res. 2017. https://doi.org/10.1519/JSC.0000000000002187 (Epub 4 Aug 2017).

  54. 54.

    Rodriguez L, Veiga S. Effect of the pacing strategies on the open water 10 km world swimming championships performances. Int J Sports Physiol Perform. 2017. https://doi.org/10.1123/ijspp.2017-0274.

  55. 55.

    Saraslanidis PJ, Panoutsakopoulos V, Tsalis GA, Kyprianou E. The effect of different first 200-m pacing strategies on blood lactate and biomechanical parameters of the 400-m sprint. Eur J Appl Physiol. 2011;111:1579–90.

  56. 56.

    Hanon C, Gajer B. Velocity and stride parameters of world-class 400-meter athletes compared with less experienced runners. J Strength Cond Res. 2009;23:524–31.

  57. 57.

    Brown MR, Delau S, Desgorces FD. Effort regulation in rowing races depends on performance level and exercise mode. J Sci Med Sport. 2010;13:613–7.

  58. 58.

    Muehlbauer T, Melges T. Pacing patterns in competitive rowing adopted in different race categories. J Strength Cond Res. 2011;25:1293–8.

  59. 59.

    Smith TB, Hopkins WG. Variability and predictability of finals times of elite rowers. Med Sci Sports Exerc. 2011;43:2155–60.

  60. 60.

    Garland SW. An analysis of the pacing strategy adopted by elite competitors in 2000 m rowing. Br J Sports Med. 2005;39:39–42.

  61. 61.

    Van Biesen D, Hettinga FJ, McCulloch K, Vanlandewijck YC. Pacing profiles in competitive track races: regulation of exercise intensity is related to cognitive ability. Front Physiol. 2016;7:624.

  62. 62.

    Moffatt J, Scarf P, Passfield L, McHale IG, Zhang K. To lead or not to lead: analysis of the sprint in track cycling. J Quant Anal Sports. 2014;10:161–72.

  63. 63.

    Hanley B. Pacing profiles and pack running at the IAAF World Half Marathon Championships. J Sports Sci. 2015;33:1189–95.

  64. 64.

    Renfree A, St Clair Gibson A. Influence of different performance levels on pacing strategy during the Women’s World Championship marathon race. Int J Sports Physiol Perform. 2013;8:279–85.

  65. 65.

    Vleck VE, Bentley DJ, Millet GP, Bürgi A. Pacing during an elite Olympic distance triathlon: comparison between male and female competitors. J Sci Med Sport. 2008;11:424–32.

  66. 66.

    Konings MJ, Noorbergen OS, Parry D, Hettinga FJ. Pacing behaviour and tactical positioning in 1500 m short-track speed skating. Int J Sports Physiol Perform. 2016;11:122–9.

  67. 67.

    Noorbergen OS, Konings MJ, Elferink-Gemser MT, Micklewright D, Hettinga FJ. Pacing and tactical positioning in 500 and 1000 m short-track speed skating. Int J Sports Physiol Perform. 2016;11:742–8.

  68. 68.

    Konings MJ, Hettinga FJ. Objectifying tactics: athlete and race variability in elite short-track speed skating. Int J Sports Physiol Perform. 2018;13:170–5.

  69. 69.

    Codrons E, Bernardi NF, Vandoni M, Bernardi L. Spontaneous group synchronization of movements and respiratory rhythms. PLoS One. 2014;9:e107538.

  70. 70.

    Renfree A, Crivoi do Carmo E, Martin L, Peters DM. The Influence of collective behavior on pacing in endurance competitions. Front Physiol. 2015;6:373.

  71. 71.

    Ackland GJ, Butler D. Pack formation in cycling and orienteering. Nature. 2001;413:127.

  72. 72.

    Tucker R, Lambert MI, Noakes TD. An analysis of pacing strategies during men’s world-record performances in track athletics. Int J Sports Physiol Perform. 2006;1:233–45.

  73. 73.

    Dwyer DB, Ofoghi B, Huntsman E, Rossitto D, McMahon C, Zeleznikow J. The elimination race in track cycling: patterns and predictors of performance. J Sci Cycl. 2013;2:6–12.

  74. 74.

    Hanley B, Smith LC, Bissas A. Kinematic variations due to changes in pace during men’s and women’s 5 km road running. Int J Sport Sci Coach. 2011;6:243–52.

  75. 75.

    Hanley B. An analysis of pacing profiles of world-class racewalkers. Int J Sports Physiol Perform. 2013;8:435–41.

  76. 76.

    Hanley B. Senior men’s pacing profiles at the IAAF World Cross Country Championships. J Sports Sci. 2014;32:1060–5.

  77. 77.

    Deaner RO, Carter RE, Joyner MJ, Hunter SK. Men are more likely than women to slow in the marathon. Med Sci Sports Exerc. 2015;47:607–16.

  78. 78.

    Hanley B. Pacing, packing and sex-based differences in Olympic and IAAF World Championship marathons. J Sports Sci. 2016;34:1675–81.

  79. 79.

    Hanley B. Pacing profiles of senior men and women at the 2017 IAAF World Cross Country Championships. J Sports Sci. 2017;2017:1–5.

  80. 80.

    Losnegard T, Kjeldsen K, Skattebo Ø. An analysis of the pacing strategies adopted by elite cross-country skiers. J Strength Cond Res. 2016;30:3256–60.

  81. 81.

    Esteve-Lanao J, Larumbe-Zabala E, Dabab A, Alcocer-Gamboa A, Ahumada F. Running World Cross Country Championships: a unique model for pacing study. Int J Sports Physiol Perform. 2014;9:1000–5.

  82. 82.

    Le Meur Y, Bernard T, Dorel S, Abbiss CR, Honnorat G, Brisswalter J, et al. Relationships between triathlon performance and pacing strategy during the run in an international competition. Int J Sports Physiol Perform. 2011;6:183–94.

  83. 83.

    Lambert MI, Dugas JP, Kirkman MC, Mokone GG, Waldeck MR. Changes in running speeds in a 100 km ultra-marathon race. J Sports Sci Med. 2004;3:167–73.

  84. 84.

    Hoffman MD. Pacing by winners of a 161-km mountain ultramarathon. Int J Sports Physiol Perform. 2014;9:1054–6.

  85. 85.

    Renfree A, Crivoi do Carmo E, Martin L. The influence of performance level, age and gender on pacing strategy during a 100-km ultramarathon. Eur J Sport Sci. 2016;16:409–15.

  86. 86.

    Bossi AH, Matta GG, Millet GY, Lima P, Pertence LC, de Lima JP, et al. Pacing strategy during 24-hour ultramarathon-distance running. Int J Sports Physiol Perform. 2017;12:590–6.

  87. 87.

    Tan P, Tan FH, Bosch AN. Similarities and differences in pacing patterns in a 161-km and 101-km ultra-distance road race. J Strength Cond Res. 2016;30:2145–55.

  88. 88.

    Santos-Lozano A, Collado P, Foster C, Lucia A, Garatachea N. Influence of sex and level on marathon pacing strategy. Insights from the New York City race. Int J Sports Med. 2014;35:933–8.

  89. 89.

    Carlsson M, Assarsson H, Carlsson T. The influence of sex, age, and race experience on pacing profiles during the 90 km Vasaloppet ski race. Open Access J Sports Med. 2016;7:11–9.

  90. 90.

    Deaner RO, Lowen A. Males and females pace differently in high school cross-country races. J Strength Cond Res. 2016;30:2991–7.

  91. 91.

    Nikolaidis PT, Knechtle B. Effect of age and performance on pacing of marathon runners. Open Access J Sports Med. 2017;8:171–80.

  92. 92.

    Micklewright D, Parry D, Robinson T, Deacon G, Renfree A, St Clair Gibson A, et al. Risk perception influences athletic pacing strategy. Med Sci Sports Exerc. 2015;47:1026–37.

  93. 93.

    Sandford GN, Pearson S, Allen SV, Malcata RM, Kilding AE, Ross A, et al. Tactical behaviours in men’s 800 m olympic and world championship medallists: a changing of the guard. Int J Sports Physiol Perform. 2018;13:246–9.

  94. 94.

    Konings MJ, Hettinga FJ. The impact of different competitive environments on pacing and performance. Int J Sports Physiol Perform. 2017. https://doi.org/10.1123/ijspp.2017-0407 (Epub 16 Oct 2017).

  95. 95.

    Knechtle B, Rosemann T, Zingg MA, Stiefel M, Rüst CA. Pacing strategy in male elite and age group 100 km ultra-marathoners. Open Access J Sports Med. 2015;6:71–80.

  96. 96.

    Kerhervé HA, Millet GY, Solomon C. The dynamics of speed selection and psycho-physiological load during a mountain ultramarathon. PLoS One. 2015;10:e0145482.

  97. 97.

    Kerhervé HA, Cole-Hunter T, Wiegand AN, Solomon C. Pacing during an ultramarathon running event in hilly terrain. Peer J. 2016;4:e2591.

  98. 98.

    Heidenfelder A, Rosemann T, Rüst CA, Knechtle B. Pacing strategies of ultracyclists in the “Race across AMerica”. Int J Sports Physiol Perform. 2016;11:319–27.

  99. 99.

    Bath D, Turner LA, Bosch AN, Tucker R, Lambert EV, Thompson KG, et al. The effect of a second runner on pacing strategy and RPE during a running time trial. Int J Sports Physiol Perform. 2012;7:26–32.

  100. 100.

    Corbett J, Barwood MJ, Ouzounoglou A, Thelwell R, Dicks M. Influence of competition on performance and pacing during cycling exercise. Med Sci Sports Exerc. 2012;44:509–15.

  101. 101.

    Konings MJ, Schoenmakers PP, Walker A, Hettinga FJ. The behavior of an opponent alters pacing decisions in 4-km cycling time trials. Physiol Behav. 2016;158:1–5.

  102. 102.

    Konings MJ, Parkinson J, Zijdewind I, Hettinga FJ. Racing an opponent alters pacing, performance and muscle force decline, but not RPE. Int J Sports Physiol Perform. 2018;13:283–9.

  103. 103.

    Hulleman M, De Koning JJ, Hettinga FJ, Foster C. The effect of extrinsic motivation on cycle time trial performance. Med Sci Sports Exerc. 2007;39:709–15.

  104. 104.

    Williams EL, Jones HS, Sparks SA, Marchant DC, Midgley AW, McNaughton LR. Competitor presence reduces internal attentional focus and improves 16.1 km cycling time trial performance. J Sci Med Sport. 2015;18:486–91.

  105. 105.

    Stone MR, Thomas K, Wilkinson M, Jones AM, St Clair Gibson A, Thompson KG. Effects of deception on exercise performance: implications for determinants of fatigue in humans. Med Sci Sports Exerc. 2012;44:534–41.

  106. 106.

    Williams EL, Jones HS, Sparks SA, Midgley AW, Marchant DC, Bridge CA, et al. Altered psychological responses to different magnitudes of deception during cycling. Med Sci Sports Exerc. 2015;47:2423–30.

  107. 107.

    Jones HS, Williams EL, Marchant DC, Sparks SA, Bridge CA, Midgley AW, et al. Deception has no acute or residual effect on cycling time trial performance but negatively effects perceptual responses. J Sci Med Sport. 2016;19:771–6.

  108. 108.

    Jones HS, Williams EL, Marchant DC, Sparks SA, Bridge CA, Midgley AW, et al. Improvements in cycling time trial performance are not sustained following the acute provision of challenging and deceptive feedback. Front Physiol. 2016;7:399.

  109. 109.

    Shei R-J, Thompson KG, Chapman R, Raglin J, Mickleborough T. Using deception to establish a reproducible improvement in 4-km cycling time trial performance. Int J Sports Med. 2016;37:341–6.

  110. 110.

    Tomazini F, Pasqua LA, Damasceno MV, Silva-Cavalcante MD, De Oliveira FR, Lima-Silva AE, et al. Head-to-head running race simulation alters pacing strategy, performance, and mood state. Physiol Behav. 2015;149:39–44.

  111. 111.

    Wilmore J. Influence of motivation on physical work capacity and performance. J Appl Physiol. 1968;24:459–63.

  112. 112.

    Bond CF, Titus LJ. Social facilitation: a meta-analysis of 241 studies. Psychol Bull. 1983;94:265–92.

  113. 113.

    Stone MR, Thomas K, Wilkinson M, Stevenson E, St Clair Gibson A, Jones AM, et al. Exploring the performance reserve: effect of different magnitudes of power output deception on 4,000 m cycling time-trial performance. PLoS One. 2017;12:e0173120.

  114. 114.

    Whitehead AE, Jones HS, Williams EL, Dowling C, Morley D, Taylor JA, et al. Changes in cognition over a 16.1 km cycling time trial using Think Aloud protocol: preliminary evidence. Int J Sport Exerc Psychol. 2017;15:1–9.

  115. 115.

    Meerhoff L, De Poel HJ, Button C. How visual information influences coordination dynamics when following the leader. Neurosci Lett. 2014;582:12–5.

  116. 116.

    Peveler WW, Green M. The effect of extrinsic factors on simulated 20-km time trial performance. J Strength Cond Res. 2010;24:3265–9.

  117. 117.

    Lambrick D, Rowlands A, Rowland T, Eston R. Pacing strategies of inexperienced children during repeated 800 m individual time-trials and simulated competition. Pediatr Exerc Sci. 2013;25:198–211.

  118. 118.

    Edwards AM, Guy JH, Hettinga FJ. Oxford and Cambridge boat race: performance, pacing and tactics between 1890 and 2014. Sports Med. 2016;46:1553–62.

  119. 119.

    Bossi AH, O’Grady C, Ebreo R, Passfield L, Hopker JG. Pacing strategy and tactical positioning during cyclo-cross races. Int J Sports Physiol Perform. 2018. https://doi.org/10.1123/ijspp.2017-0183 (Epub 1 May 2018).

  120. 120.

    McCormick A, Meijen C, Marcora SM. Psychological determinants of whole-body endurance performance. Sports Med. 2015;45:997–1015.

  121. 121.

    Brick NE, Campbell MJ, Metcalfe RS, Mair JL, MacIntyre TE. Altering pace control and pace regulation: attentional focus effects during running. Med Sci Sports Exerc. 2016;48:879–86.

  122. 122.

    Van Ingen Schenau GJ. Some fundamental aspects of the biomechanics of overground versus treadmill locomotion. Med Sci Sports Exerc. 1980;12:257–61.

  123. 123.

    Van Ingen Schenau GJ. The influence of air friction in speed skating. J Biomech. 1982;15:449–58.

  124. 124.

    Van Ingen Schenau GJ, De Groot G, Hollander AP. Some technical, physiological and anthropometrical aspects of speed skating. Eur J Appl Physiol Occup Physiol. 1983;50:343–54.

  125. 125.

    Van Ingen Schenau GJ, De Groot G. On the origin of differences in performance level between elite male and female speed skaters. Hum Mov Sci. 1983;2:151–9.

  126. 126.

    De Koning JJ, Foster C, Lucía A, Bobbert MF, Hettinga FJ, Porcari JP. Using modeling to understand how athletes in different disciplines solve the same problem: swimming versus running versus speed skating. Int J Sports Physiol Perform. 2011;6:276–80.

  127. 127.

    Foster C, De Koning JJ, Hettinga FJ, Lampen J, La Clair KL, Dodge C, et al. Pattern of energy expenditure during simulated competition. Med Sci Sports Exerc. 2003;35:826–31.

  128. 128.

    De Koning JJ, Bobbert MF, Foster C. Determination of optimal pacing strategy in track cycling with an energy flow model. J Sci Med Sport. 1999;2:266–77.

  129. 129.

    Gregory R. Concepts and mechanisms of perception. London: Duckworth; 1974.

  130. 130.

    Lombardo TJ. The reciprocity of perceiver and environment: the evolution of James J. Gibson’s ecological psychology. Hillsdale: Erlbaum; 1987.

  131. 131.

    Gibson JJ. The ecological approach to visual perception. Boston: Houghton Mifflin; 1979.

  132. 132.

    Foster C, Hendrickson K, Peyer K, Reiner B, De Koning JJ, Lucía A, et al. Pattern of developing the performance template. Br J Sports Med. 2009;43:765–9.

  133. 133.

    Schallig W, Veneman T, Noordhof DA, Porcari JP, De Koning JJ, Foster C. The role of the rating of perceived exertion template in pacing. Int J Sports Physiol Perform. 2018;13:367–73.

  134. 134.

    Konings MJ, Foulsham T, Micklewright D, Hettinga FJ. The athlete-opponent relationship alters pacing decisions and information-seeking behaviour in 4-km cycling time trials [abstract]. In: 22nd Annual congress of the European college of sport science. Essen; 5–8 Jul 2017. p. 227.

  135. 135.

    Parry D, Chinnasamy C, Micklewright D. Optic flow influences perceived exertion during cycling. J Sport Exerc Psychol. 2012;34:444–56.

  136. 136.

    Parry D, Micklewright D. Optic flow influences perceived exertion and distance estimation but not running pace. Med Sci Sports Exerc. 2014;46:1658–65.

  137. 137.

    Vilar L, Araújo D, Davids K, Button C. The role of ecological dynamics in analysing performance in team sports. Sport Med. 2012;42:1–10.

  138. 138.

    Silva P, Garganta J, Araújo D, Davids K, Aguiar P. Shared knowledge or shared affordances? Insights from an ecological dynamics approach to team coordination in sports. Sports Med. 2013;43:765–72.

  139. 139.

    Passos P, Araújo D, Davids K. Competitiveness and the process of co-adaptation in team sport performance. Front Psychol. 2016;7:1562.

  140. 140.

    Pijpers R, Oudejans RR, Bakker FC. Changes in the perception of action possibilities while climbing to fatigue on a climbing wall. J Sports Sci. 2007;25:97–110.

  141. 141.

    Micklewright D, Papadopoulou E, Swart J, Noakes TD. Previous experience influences pacing during 20 km time trial cycling. Br J Sports Med. 2010;44:952–60.

  142. 142.

    Mauger AR, Jones AM, Williams CA. Influence of feedback and prior experience on pacing during a 4-km cycle time trial. Med Sci Sports Exerc. 2009;41:451–8.

  143. 143.

    Micklewright D, Angus SD, Suddaby J, St Clair Gibson A, Sandercock G, Chinnasamy C. Pacing strategy in schoolchildren differs with age and cognitive development. Med Sci Sports Exerc. 2012;44:362–9.

  144. 144.

    Boya M, Foulsham T, Hettinga FJ, Parry D, Williams EL, Jones HS, et al. Information acquisition differences between experienced and novice time trial cyclists. Med Sci Sports Exerc. 2017;49:1884–98.

  145. 145.

    Elferink-Gemser MT, Hettinga FJ. Pacing and self-regulation: important skills for talent development in endurance sports. Int J Sports Physiol Perform. 2017;12:831–5.

  146. 146.

    Van Biesen D, Hettinga FJ, McCulloch K, Vanlandewijck YC. Pacing ability in elite runners with intellectual impairment. Med Sci Sports Exerc. 2017;49:588–94.

  147. 147.

    Den Hartigh RJ, van der Sluijs J, Zaal FT, Gernigon C. Psychological momentum shapes athletes’ affordances. Montpellier: Congress of the French Society of Sport Psychology; 2017.

  148. 148.

    Den Hartigh RJ, Gernigon C, Van Yperen NW, Marin L, Van Geert PL. How psychological and behavioral team states change during positive and negative momentum. PLoS One. 2014;9:e97887.

  149. 149.

    Karageorghis CI, Priest DL. Music in the exercise domain: a review and synthesis (Part I). Int Rev Sport Exerc Psychol. 2012;5:44–66.

  150. 150.

    Karageorghis CI, Priest DL. Music in the exercise domain: a review and synthesis (Part II). Int J Sport Exerc Psychol. 2012;5:67–84.

  151. 151.

    Lima-Silva AE, Silva-Cavalcante MD, Pires FO, Bertuzzi RC, Oliveira R, Bishop DJ. Listening to music in the first, but not the last 1.5 km of a 5-km running trial alters pacing strategy and improves performance. Int J Sports Med. 2012;33:813–8.

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Correspondence to Florentina J. Hettinga.

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Marco J. Konings, and Florentina J. Hettinga declare that they have no conflicts of interest.

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No financial support was received for the conduct of this study or preparation of this manuscript.

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Konings, M.J., Hettinga, F.J. Pacing Decision Making in Sport and the Effects of Interpersonal Competition: A Critical Review. Sports Med 48, 1829–1843 (2018). https://doi.org/10.1007/s40279-018-0937-x

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