Biology of Sport

Performance profiles and match-to-match variability of the kinematic most demanding passages in elite men’s football: analysis of the FIFA World Cup Qatar 2022

  1. Universidade de Évora, Escola de Saúde e Desenvolvimento Humano, Departamento de Desporto e Saúde, Évora, Portugal

  2. Universidade de Évora, Comprehensive Health Research Centre (CHRC), Évora, Portugal

  3. FPF Academy, Portuguese Football Federation, Oeiras, Portugal

  4. CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa

  5. Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), Department of Sport Sciences, University of Beira Interior, Covilhã, Portugal

  6. Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), Elite Research Community, Vila Real, Portugal

  7. Department of Sports Science, Exercise and Health, School of Life Sciences and Environment, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal

Biol Sport. 2026;43:1713–1723

Data publikacji online: 2026/08/24
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Confronting perimenopausal women’s knowledge of coronary heart disease with their health behaviours. Controversial role of hormone replacement therapy in the protection of coronary heart disease
  1. Heidari J, Pelka M, Beckmann J, Kellmann M. A practitioner’s perspective on psychological issues in football. Sci Med Football. 2019; 3:169–175. doi: 10 .1080/24733938.2018.1526397.
  2. Gonçalves BV, Figueira BE, Maçãs V, Sampaio J. Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game. J Sports Sci. 2014; 32:191–199. doi: 10.1080/02640414.2013.816761.
  3. Carling C, Bloomfield J, Nelsen L, Reilly T. The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 2008; 38:839–862. doi: 10.2165 /00007256-200838100-00004.
  4. Bradley PS, Di Mascio M, Peart D, Olsen P, Sheldon B. High-intensity activity profiles of elite soccer players at different performance levels. J Strength Cond Res. 2010; 24:2343–2351. doi: 10.1519/JSC.0b013e3181aeb1b3.
  5. Sarmento H, Clemente FM, Araújo D, Davids K, McRobert A, Figueiredo A. What performance analysts need to know about research trends in association football (2012–2016): a systematic review. Sports Med. 2018; 48:799–836. doi: 10.1007/s40279-017-0836-6.
  6. Ferraz A, Duarte-Mendes P, Sarmento H, Valente-dos-Santos J, Travassos B. Tracking devices and physical performance analysis in team sports: a comprehensive framework for research—trends and future directions. Front Sports Act Living. 2023; 5:1284086. doi: 10.3389/fspor.2023 .1284086.
  7. Jiménez SL, Mateus N, Weldon A, Bustamante-Sánchez Á, Kelly AL, Sampaio J. Analysis of the most demanding passages of play in elite youth soccer: a comparison between congested and non-congested fixture schedules. Sci Med Football. 2022. doi: 10.1080 /24733938.2022.2117404.
  8. Oliva-Lozano JM, Gómez-Carmona CD, Rojas-Valverde D, Fortes V, Pino-Ortega J. Effect of training day, match, and length of the microcycle on the worst-case scenarios in professional soccer players. Res Sports Med. 2022; 30:425–438. doi: 10.1080 /15438627.2021.1895786.
  9. Fang Z, Wang Z, Li X, Gómez MA, Liu H. Physical and technical performance in and after the worst-case scenario in matches of the Chinese Super League. Biol Sport. 2025. doi: 10.5114 /biolsport.2025.142642.
  10. Novak AR, Impellizzeri FM, Trivedi A, Coutts AJ, McCall A. Analysis of the worst-case scenarios in an elite football team: towards a better understanding and application. J Sports Sci. 2021; 39:1850–1859. doi: 10.1080 /02640414.2021.1902138.
  11. Castellano J, Martin-Garcia A, Casamichana D. Most running demand passages of match play in youth soccer congestion period. Biol Sport. 2020; 37:367–373. doi: 10.5114/biolsport .2020.96853.
  12. Oliva-Lozano JM, Fortes V, Muyor JM. The first, second, and third most demanding passages of play in professional soccer: a longitudinal study. Biol Sport. 2021; 38:165–174. doi: 10.5114/biolsport.2020.97674.
  13. Martín-García A, Casamichana D, Gómez-Díaz A, Cos F, Gabbett TJ. Positional differences in the most demanding passages of play in football competition. J Sports Sci Med. 2018; 17:563–570.
  14. Cunningham DJ, Shearer DA, Carter N, et al. Assessing worst-case scenarios in movement demands derived from global positioning systems during international rugby union matches: rolling averages versus fixed-length epochs. PLoS One. 2018; 13:e0195197. doi: 10.1371 /journal.pone.0195197.
  15. Black GM, Gabbett TJ, Johnston RD, Cole MH, Naughton G, Dawson B. Physical fitness and peak running periods during female Australian football match play. Sci Med Football. 2018; 2:246–251. doi: 10.1080 /24733938.2018 .1426103.
  16. Martín-Fuentes I, Oliva-Lozano JM, Fortes V, Muyor JM. Effect of playing position, passage duration and starting status on the most demanding passages of match play in professional football. Res Sports Med. 2021; 29:417–426. doi: 10 .1080/15438627.2021.1937163.
  17. Martin-Garcia A, Castellano J, Díaz AG, Cos F, Casamichana D. Positional demands for various-sided games with goalkeepers according to the most demanding passages of match play in football. Biol Sport. 2019; 36:171–180. doi: 10.5114/biolsport.2019.83507.
  18. Lacome M, Simpson BM, Cholley Y, Lambert P, Buchheit M. Small-sided games in elite soccer: does one size fit all? Int J Sports Physiol Perform. 2018; 13:568–576. doi: 10.1123/ijspp .2017-0214.
  19. Abbott W, Brickley G, Smeeton NJ. Positional differences in GPS outputs and perceived exertion during soccer training games and competition. J Strength Cond Res. 2018; 32:3222–3231. doi: 10 .1519/JSC.0000000000002387.
  20. Yousefian F, Zafar A, Fransson D, Mohr M, Brito J, Travassos B. Characterizing the most demanding passages of kinematic and mechanical activity in elite football: a multifactorial approach. Biol Sport. 2024; 41(4):41-50. doi: 10.5114/ biolsport.2024.134756.
  21. Yousefian F, Zafar A, Fransson D, Brito J, Travassos B. Peak kinematic and mechanical demands according to playing positions in professional male soccer. Res Q Exerc Sport. 2025. doi: 10.1080 /02701367.2024.2441126.
  22. Carling C, Bradley PS, McCall A, Dupont G. Match-to-match variability in high-speed running activity in a professional soccer team. J Sports Sci. 2016; 34:2215–2223. doi: 10.1080 /02640414.2016.1176228.
  23. Baptista I, Johansen D, Seabra A, Pettersen SA. Position-specific player load during match play in a professional football club. PLoS One. 2018; 13:e0198115. doi: 10.1371 /journal.pone.0198115.
  24. Lago-Peñas C, García-Calvo T, López del Campo R, Resta R, Ponce-Bordón JC. Match running performance is similar in lower and higher competitive standards accounting for effective playing time. Biol Sport. 2024; 41:39–46. doi: 10.5114 /biolsport.2024.132993.
  25. García-Calvo T, Lobo-Triviño D, Raya-González J, et al. The evolution of match running performance in the top two Spanish soccer leagues: a four-season study. J Funct Morphol Kinesiol. 2025; 10:27. doi: 10.3390/jfmk10010027.
  26. Gonçalves B, Coutinho D, Travassos B, Folgado H, Caixinha P, Sampaio J. Speed synchronization, physical workload and match-to-match performance variation of elite football players. PLoS One. 2018; 13:e0200019. doi: 10.1371/journal .pone.0200019.
  27. Konefał M, Chmura P, Tessitore A, et al. The impact of match location and players’ physical and technical activities on winning in the German Bundesliga. Front Psychol. 2020; 11:1748. doi: 10.3389/fpsyg.2020.01748.
  28. García-Unanue J, Pérez-Gómez J, Giménez JV, et al. Influence of contextual variables on physical match performance in soccer players. PLoS One. 2018; 13:e0204256. doi: 10.1371/journal. pone.0204256.
  29. Teixeira JE, Leal M, Ferraz R, et al. Effects of match location, quality of opposition and match outcome on match running performance. Entropy. 2021; 23:973. doi: 10.3390/e23080973.
  30. Liu H, Gómez MA, Gonçalves B, Sampaio J. Technical performance and match-to-match variation in elite football teams. J Sports Sci. 2016; 34:509–518. doi: 10.1080/02640414.2015.1117121.
  31. Chmura P, Andrzejewski M, Konefał M, et al. Analysis of motor activities of professional soccer players during the 2014 World Cup. J Hum Kinet. 2017; 56:187–195. doi: 10.1515/hukin -2017-0036.
  32. Trewin J, Meylan C, Varley MC, Cronin J, Ling D. Effect of match factors on running performance of elite female soccer players. J Strength Cond Res. 2018; 32:2002–2009. doi: 10.1519/JSC .0000000000002584.
  33. Hands DE, Janse de Jonge X. Current time-motion analyses of professional football matches in top-level domestic leagues: a systematic review. Int J Perform Anal Sport. 2020; 20:747–765. doi: 10.1080 /24748668.2020.1780872.
  34. Marcelli L, Silvestri F, Di Pinto G, Gallotta MC, Curzi D. How match-related variables influence the physical demands of professional female soccer players during the regular season. J Funct Morphol Kinesiol. 2024; 9:149. doi: 10.3390/jfmk9030149.
  35. Oliva-Lozano JM, Rojas-Valverde D, Gómez-Carmona CD, Fortes V, Pino-Ortega J. Worst-case scenario match analysis and contextual variables in professional soccer players: a longitudinal study. Biol Sport. 2020; 37:429–436. doi: 10.5114/biolsport .2020.97067.
  36. Doncaster G, Unnithan V. Between-game variation of physical soccer performance measures in highly trained youth soccer players. J Strength Cond Res. 2019; 33:1912–1920. doi: 10.1519/JSC .0000000000002132.
  37. Linke D, Link D, Lames M. Football-specific validity of TRACAB’s optical video tracking systems. PLoS One. 2020; 15:e0230179. doi: 10.1371/journal .pone.0230179.
  38. Thoseby B, Govus AD, Clarke AC, Middleton KJ, Dascombe BJ. Between-match variation of peak match running intensities in elite football. Biol Sport. 2022; 39:833–842. doi: 10.5114 /biolsport.2022.109456.
  39. Bradley PS. Setting the benchmark, part 1: the contextualised physical demands of positional roles in the FIFA World Cup Qatar 2022. Biol Sport. 2024; 41:261–270. doi: 10.5114/biolsport .2024.131090.
  40. Bush M, Barnes C, Archer DT, Hogg B, Bradley PS. Evolution of match performance parameters for various playing positions in the English Premier League. Hum Mov Sci. 2015; 39:1–11. doi: 10.1016/j.humov.2014.10.003.
  41. Ho J, Tumkaya T, Aryal S, Choi H, Claridge-Chang A. Moving beyond P values: data analysis with estimation graphics. Nat Methods. 2019; 16:565–566.
  42. Delaney JA, Thornton HR, Rowell AE, Dascombe BJ, Aughey RJ, Duthie GM. Modelling the decrement in running intensity within professional soccer players. Sci Med Football. 2018; 2:86–92. doi: 10.1080 /24733938.2017.1383623.
  43. Riboli A, Semeria M, Coratella G, Esposito F. Effect of formation, ball in play and ball possession on peak demands in elite soccer. Biol Sport. 2021; 38:195–205. doi: 10.5114 /biolsport.2020.98450.
  44. Lago-Peñas C. The role of situational variables in analysing physical performance in soccer. J Hum Kinet. 2012; 35:89–95. doi: 10.2478 /v10078-012-0082-9.
  45. Nassis GP, Brito J, Dvorak J, Chalabi H, Racinais S. The association of environmental heat stress with performance: analysis of the 2014 FIFA World Cup Brazil. Br J Sports Med. 2015; 49:609–613. doi: 10.1136 /bjsports-2014-094449.
  46. Castellano J, Pic M. Identification and preference of game styles in LaLiga associated with match outcomes. Int J Environ Res Public Health. 2019; 16:5090. doi: 10.3390/ijerph16245090.
  47. Mertens N, Boen F, Steffens NK, Haslam SA, Fransen K. Will the real leaders please stand up? The emergence of shared leadership in semi-professional soccer teams. J Sci Med Sport. 2021; 24:281–290. doi: 10.1016/j.jsams .2020.09.007.
  48. Mohr M, Krustrup P, Bangsbo J. Match performance of high-standard soccer players with special reference to development of fatigue. J Sports Sci. 2003; 21:519–528. doi: 10.1080 /0264041031000071182.
  49. Carling C, Gregson W, McCall A, Moreira A, Wong DP, Bradley PS. Match running performance during fixture congestion in elite soccer: research issues and future directions. Sports Med. 2015; 45:605–613. doi: 10.1007/s40279 -015-0313-z.
  50. Fereday K, Hills SP, Russell M, et al. A comparison of rolling averages versus discrete time epochs for assessing the worst-case scenario locomotor demands of professional soccer match play. J Sci Med Sport. 2020; 23:764–769. doi: 10.1016/j.jsams.2020.01.002.
  51. Rico-González M, Oliveira R, Palucci Vieira LH, Pino-Ortega J, Clemente FM. Players’ performance during worst-case scenarios in professional soccer matches: a systematic review. Biol Sport. 2022; 39:695–713. doi: 10.5114/biolsport .2022.107022.
  52. Oliva-Lozano JM, Martínez-Puertas H, Fortes V, Muyor JM. When do soccer players experience the most demanding passages of match play? A longitudinal study in a professional team. Res Sports Med. 2021. doi: 10.1080/15438627 .2021.1943390.
  53. Mohr M, Nybo L, Grantham J, Racinais S. Physiological responses and physical performance during football in the heat. PLoS One. 2012; 7:e39202. doi: 10.1371/journal.pone.0039202.
  54. Thoseby B, Govus AD, Clarke AC, Middleton KJ, Dascombe BJ. Temporal distribution of peak running demands relative to match minutes in elite football. Biol Sport. 2022; 39:985–994. doi: 10.5114/biolsport.2022.110745.
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