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

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

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  CAS  Google Scholar 

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

    Article  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Article  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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).

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    PubMed  PubMed Central  Google Scholar 

  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.

    Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  Google Scholar 

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

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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).

    Article  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  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.

    Article  Google Scholar 

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

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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).

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Google Scholar 

  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.

    Article  CAS  Google Scholar 

  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.

    Article  PubMed  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  PubMed  CAS  Google Scholar 

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  1. Sport, Performance and Fatigue Research Unit, School of Sport, Rehabilitation and Exercise Sciences, University of Essex, Wivenhoe Park, Colchester, Essex, CO4 3SQ, UK

    Marco J. Konings & Florentina J. Hettinga

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  1. Marco J. Konings
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  2. Florentina J. Hettinga
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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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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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