Biology of Sport
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Original paper

The influence of contextual factors on the physical demands of soccer match-play

Enrique Benéitez-Andrés
1, 2
,
Javier Sánchez-Sánchez
3
,
Alejandro Rodríguez-Fernández
4
,
Mercedes Sánchez-Barba
1
,
Daniel Rojas-Valverde
5
,
Mario Sánchez
3

  1. Department of Statistics, Faculty of Medicine, University of Salamanca, Salamanca, Spain
  2. Real Valladolid Football Club, Valladolid, Spain
  3. PRENDE Research Group: Planning and Evaluation of Sports Training and Performance. Pontifical University of Salamanca, Spain
  4. VALFIS Research Group, Department of Physical Education and Sports, Institute of Biomedicine (IBIOMED), Universidad de León, 24071 León, Spain
  5. School of Human Movement Sciences and Quality of Life (CIEMHCAVI), National University, Costa Rica
Biol Sport. 2026;43:729–741
DOI: https://doi.org/10.5114/biolsport.2026.157995
Online publish date: 2026/01/02
Article file
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1. Carling C, Le Gall F, Dupont G. Analysis of repeated high-intensity running performance in professional soccer. J Sports Sci. 2012; 30:325–336. doi: 10.1080/02640414.2011.652655.
2. 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.
3. Bradley PS. ‘Setting the Benchmark’ Part 2: Contextualising the Physical Demands of Teams in the FIFA World Cup Qatar 2022. Biol Sport. 2024;41:271–278. doi: 10.5114/ biolsport.2024.131091.
4. Izquierdo IA, García LG, Raya-González J, Castillo D, Sánchez-Sánchez J, Fernández AR. Repeated sprints training in soccer players: Effects on repeated sprint ability, jump and reaction time. CCD. 2021; 16(49):337–345. doi: 10.12800/CCD.V16I49.1264.
5. Guerrero-Calderón B, Morcillo JA, Chena M, Castillo-Rodríguez A. Comparison of training and match load between metabolic and running speed metrics of professional Spanish soccer players by playing position. Biol Sport. 2022; 39:933–941. doi: 10.5114 /biolsport.2022.110884.
6. Aquino R, Guimarães R, Junior GOC, Clemente FM, García-Calvo T, Pulido JJ, Nobari H, Praça GM. Effects of match contextual factors on internal and external load in elite Brazilian professional soccer players through the season. Sci Rep. 2022; 12(1):21287. doi: 10.1038 /s41598-022-25903-x.
7. Izquierdo JM, Marqués-Jiménez D, Redondo JC. Running demands and tactical individual actions of wingers appear to depend on the playing formations within an amateur football team. Sci Rep. 2023;13(1):8927. doi: 10.1038/s41598-023-36157-6.
8. Bradley PS, Noakes TD. Match running performance fluctuations in elite soccer: Indicative of fatigue, pacing or situational influences? J Sports Sci. 2013; 31:1627–1638. doi: 10.1080 /02640414.2013.796062.
9. Morgans R, Radnor J, Fonseca J, Rhodes D, Ryan B, King M, Zmijewski P, Oliveira R. Comparison of running and accelerometry variables based on match outcome, match location and quality of opponent in elite professional soccer players. A five-season study. Biol Sport. 2025; 42:67–79. doi: 10.5114/biolsport.2024.136092.
10. Sarmento H, Martinho DV, Gouveia ÉR, Afonso J, Chmura P, Field A, Savedra NO, Oliveira R, Praça G, Silva R, et al. The Influence of Playing Position on Physical, Physiological, and Technical Demands in Adult Male Soccer Matches: A Systematic Scoping Review with Evidence Gap Map. Sports Med. 2024; 54(11):2841–2864. doi: 10.1007/ s40279-024-02088-z.
11. Lago C, Casais L, Dominguez E, Sampaio J. The effects of situational variables on distance covered at various speeds in elite soccer. Eur J Sport Sci. 2010; 10:103–109. doi: 10.1080 /17461390903273994.
12. Castellano J, Blanco-Villaseñor A, Álvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med. 2011; 32:415–421. doi: 10.1055/s-0031-1271771.
13. Miguel M, Oliveira R, Brito JP, Loureiro N, García-Rubio J, Ibáñez SJ. External Match Load in Amateur Soccer: The Influence of Match Location and Championship Phase. Healthcare (Basel). 2022;10(4):594. doi: 10.3390 /healthcare10040594.
14. Lago C, Casáis L, Domínguez E, Rey E. Influencia de las variables contextuales en el rendimiento físico en el fútbol de alto nivel. Motricidad Eur J Hum Mov. 2009; 23:107–121.
15. García-Unanue J, Pérez-Gómez J, Giménez JV, Felipe JL, Gómez-Pomares S, Gallardo L, Sánchez-Sánchez J. Influence of contextual variables and the pressure to keep category on physical match performance in soccer players. PLoS One. 2018;13(9): e0204256. doi: 10.1371/journal.pone.0204256.
16. Teixeira JE, Leal M, Ferraz R, Ribeiro J, Cachada JM, Barbosa TM, Monteiro AM, Forte P. Effects of match location, quality of opposition and match outcome on match running performance in a portuguese professional football team. Entropy. 2021;23(8):973. doi: 10.3390 /e23080973.
17. Paraskevas G, Smilios I, Hadjicharalambous M. Effect of opposition quality and match location on the positional demands of the 4-2-3-1 formation in elite soccer. J Exerc Sci Fit. 2020; 18:40–45. doi: 10.1016 /j.jesf.2019.11.001.
18. Rojas-Valverde D, Gómez-Carmona CD, Gutiérrez-Vargas R, Pino-Ortega J. From big data mining to technical sport reports: The case of inertial measurement units. BMJ Open Sport Exerc Med. 2019; 5(1):e000565. doi: 10.1136 /bmjsem-2019-000565.
19. Oliva-Lozano JM, Barbier X, Fortes V, Muyor JM. Key load indicators and load variability in professional soccer players: a full season study. Res Sports Med. 2023; 31:201–213. doi: 10.1080 /15438627.2021.1954517.
20. Williams S, Trewartha G, Cross MJ, Kemp SPT, Stokes KA. Monitoring what matters: A systematic process for selecting training-load measures. Int J Sports Physiol Perform. 2017; 12:101–106. doi: 10.1123/ ijspp.2016-0337.
21. Pillitteri G, Rossi A, Bongiovanni T, Puleo G, Petrucci M, Iaia FM, Sarmento H, Clemente FM, Battaglia G. Elite Soccer Players’ Weekly Workload Assessment Through a New Training Load and Performance Score. Res Q Exerc Sport. 2024; 95(4):993–1001. doi: 10.1080/02701367 .2024.2358956.
22. McKay AKA, Stellingwerff T, Smith ES, Martin DT, Mujika I, Goosey-Tolfrey VL, Sheppard J, Burke LM. Defining Training and Performance Caliber: A Participant Classification Framework. Int J Sports Physiol Perform. 2022;17:317–331. doi: 10.1123/ijspp.2021-0451.
23. Sánchez M, Benéitez-Andres E, García-Hernández J, Sánchez-Barba M. Influencia de las variables contextuales en las acciones técnicas de jugadores de fútbol profesional durante la competición. Retos. 2024; 57:526–535. doi: 10.47197/retos. v57.105125.
24. Winter EM, Maughan RJ. Requirements for ethics approvals. J Sports Sci. 2009; 27(10):985. doi: 10.1080/02640410 903178344.
25. Aquino R, Munhoz Martins GH, Palucci Vieira LH, Menezes RP. Influence of Match Location, Quality of Opponents, and Match Status on Movement Patterns in Brazilian Professional Football Players. J Strength Cond Res. 2017; 31:2155–2161. doi: 10.1519 /JSC.0000000000001674.
26. Lago-Peñas C, Gomez MÁ, Pollard R. Home advantage in elite soccer matches. A transient effect? Int J Perform Anal Sport. 2017; 17:86–95. doi: 10.1080 /24748668.2017.1304024.
27. Arntzen H, Hvattum LM. Predicting match outcomes in association football using team ratings and player ratings. Stat Modelling. 2021; 21:449–470. doi: 10.1177/1471082X20929881.
28. Aquino R, Carling C, Palucci Vieira LH, Martins G, Jabor G, Machado J, Santiago P, Garganta J, Puggina E. Influence of Situational Variables, Team Formation, and Playing Position on Match Running Performance and Social Network Analysis in Brazilian Professional Soccer Players. J Strength Cond Res. 2020; 34:808–817. doi: 10.1519/JSC .0000000000002725.
29. Akyildiz Z, Alvurdu S, Ceylan HI, Clemente FM. Validity and reliability of 10 Hz GPS sensor for measuring distance and maximal speed in soccer: Possible differences of unit positioning. Proc Inst Mech Eng P J Sport Eng Technol. 2024; 238:215–225. doi: 10.1177 /17543371221098888.
30. Rodríguez-Fernández A, Suárez-Iglesias D, Vaquera A, Leicht AS, Rodríguez-Marroyo JA. Inter-system and inter-unit reliability of Polar Team Pro and WIMU PRO devices during external load measurements indoors. Proc Inst Mech Eng P J Sport Eng Technol. 2023; 239(3):469–478. doi: 10.1177 /17543371221147857.
31. Rey E, Lois-Abal M, Padrón-Cabo A, Lorenzo-Martínez M, Costa PB. Influence of Training Load on Muscle Contractile Properties in Semi-Professional Female Soccer Players Across a Competitive Microcycle: A Pilot Study. Sensors. 2024;24 (21):6996. doi: 10.3390 /s24216996.
32. Gualtieri A, Rampinini E, Dello Iacono A, Beato M. High-speed running and sprinting in professional adult soccer: Current thresholds definition, match demands and training strategies. A systematic review. Front Sports Act Living. 2023; 5:1116293. doi: 10.3389/fspor.2023.1116293.
33. Martín-García A, Gómez Díaz A, Bradley PS, Morera F, Casamichana D. Quantification of a Professional Football Team’s External Load Using a Microcycle Structure. J Strength Cond Res. 2018; 32:3511–3518. doi: 10.1519/JSC .0000000000002816.
34. Rojas-Valverde D, Pino-Ortega J, Gómez-Carmona CD, Rico-González M. A systematic review of methods and criteria standard proposal for the use of principal component analysis in team’s sports science. Int J Environ Res Public Health. 2020; 17:1–13. doi: 10.3390 /ijerph17238712.
35. Cohen J. Statistical Power Analysis for the Behavioral Sciences. Second Edition. New York: Lawrence Earlbaum Associates, Publishers; 1988.
36. Ben-Shachar MS, Patil I, Thériault R. Utilities for effect size computation (R package version 0.8.0). 2020.
37. Lê S, Josse J, Husson F. FactoMineR: An R Package for Multivariate Analysis. J Stat Softw. 2008; 25:1–18. doi: 10.18637/jss.v025.i01.
38. Morgans R, Ju W, Radnor J, Zmijewski P, Ryan B, Haslam C, King M, Kavanagh R, Oliveira R. The positional demands of explosive actions in elite soccer: Comparison of English Premier League and French Ligue 1. Biol Sport. 2025; 42:81–87. doi: 10.5114/biolsport .2025.139083.
39. Forcher L, Forcher L, Wäsche H, Jekauc D, Woll A, Altmann S. The influence of tactical formation on physical and technical match performance in male soccer: A systematic review. Int J Sports Sci Coach. 2023; 18(5):1820–1849. doi: 10.1177/17479541221101363.
40. Bilalić M, Gula B, Vaci N. Revising home advantage in sport–home advantage mediation (HAM) model. Int Rev Sport Exerc Psychol. 2024; 18(2):1096–1122. doi: 10.1080/1750984X. 2024.2358491.
41. Castellano J, Bellmunt S, Resta R, Lopez del Campo R, Casamichana D. Multivariate analysis of teams’ physical performances in official football matches in LaLiga 2023–24. Biol Sport. 2025; 42:169–176. doi: 10.5114/biolsport .2025.146784.
42. Folgado H, Duarte R, Marques P, Sampaio J. The effects of congested fixtures period on tactical and physical performance in elite football. J Sports Sci. 2015; 33:1238–1247. doi: 10.1080 /02640414.2015.1022576.
Copyright: Institute of Sport. This is an Open Access article distributed under the terms of the Creative Commons CC BY License (https://creativecommons.org/licenses/by/4.0/). This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
  
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