ORIGINAL PAPER
Exploring the influence of playing styles on physical demands in professional football
 
More details
Hide details
1
Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece
 
2
AIDEAS OÜ, Narva, Estonia
 
3
Department of Physical Education and Sport Science, Democritus University of Thrace, Komotini, Greece
 
4
Department of Operations, Technology, Events and Hospitality Management, Manchester Metropolitan University, Manchester, UK
 
5
Institute for Bio-Economy and Agri-Technology, Center for Research and Technology Hellas, Volos, Greece
 
 
Submission date: 2023-06-23
 
 
Acceptance date: 2023-11-23
 
 
Publication date: 2023-12-28
 
 
Hum Mov. 2023;24(4):36-43
 
KEYWORDS
TOPICS
ABSTRACT
Purpose:
The aim of the current study was to investigate differences in the physical performance indicators when implementing various playing styles across a range of tactical situations.

Methods:
The sample comprised 238 matches (476 observations) from the 2021–22 season of the Turkish league’s 1st division. For each observation, nine physical performance indicators obtained through the InStat Scout optical tracking method were analysed. Additionally, 19 factor scores (representing 19 tactical situations) derived from previous research were utilised to categorise each observation into two distinct playing styles.

Results:
Effect sizes (Cohen’s d) obtained from independent samples t-tests revealed significant differences in physical performance indicators in 17 out of the 19 tactical situations. Match interruptions, transitions, final attempts, and the starting position on the field from which a team initiates pressing were identified as influential factors in determining physical demands. Conversely, the playing style adopted by teams during the build-up phase (possession or direct play) did not appear to significantly alter the physical demands.

Conclusions:
The results indicate that in various tactical situations, the physical demands vary based on the playing style adopted by the teams. These findings carry practical implications, as they can assist coaches in making decisions that combine tactical and physical factors.

REFERENCES (46)
1.
Clemente F, Oliveira R, Kawczyński A, Silva AF, Akyildiz Z, Yildiz M, et al. Integrating field-based tests into weekly soccer training sessions: a comparison of physiological demands of three progressive multistage fitness tests and regular training demands. Hum Mov. 2023;24(1):35–43; doi: 10.5114/hm.2023.114751.
 
2.
Figueiredo L, Gomes LMS, Da Silva DG, Gantois P, Fialho JVAP, Fortes LS, et al. The relative age effect in Brazilian elite soccer depending on age category, playing position, and competitive level. Hum Mov. 2022; 23(2):112–120; doi: 10.5114/hm.2022.109070.
 
3.
Carling C, Williams AM, Reilly T. Handbook of Soccer Match Analysis. A Systematic Approach to Improving Performance. Routledge; 2007.
 
4.
Hughes MD, Bartlett RM. The use of performance indicators in performance analysis. J Sports Sci. 2002; 20(10):739–754.
 
5.
Santos J, Sousa PM, Pinheiro V, Santos FJ. Analysis of offensive and defensive actions of young soccer goalkeepers. Hum Mov. 2022;23(1):18–27; doi: 10.5114/ hm.2021.104183.
 
6.
Geurkink Y, Boone J, Verstockt S, Bourgois JG. Machine learning-based identification of the strongest predictive variables of winning and losing in Belgian professional soccer. Appl Sci. 2021;11(5):2378; doi: 10.3390/app11052378.
 
7.
Goes F, Meerhoff LA, Bueno MJO, Rodrigues DM, Moura FA, Brink MS, et al. Unlocking the potential of big data to support tactical performance analysis in professional soccer: a systematic review. Eur J Sport Sci. 2021. 21(4):481–496; doi: 10.1080/17461391.2020.174 7552.
 
8.
Aquino R, Machado JC, Clemente FM, Praça GM, Gonçalves LGC, Melli-Neto B, et al. Comparisons of ball possession, match running performance, player prominence and team network properties according to match outcome and playing formation during the 2018 FIFA World Cup. Int J Performance Analysis Sport. 2019; 19(6):1026–1037; doi: 10.1080/24748668.2019.1689753.
 
9.
Clemente F, Oliveira R, Akyildiz Z, Yildiz M, Sagiroglu İ, Silva AF. Locomotor demands of 30–15 Intermittent Fitness Test, Yo-Yo Intermittent Recovery Test, and VAMEVAL test and comparisons with regular locomotor demands in training sessions and matches: a study conducted in youth male soccer players. Hum Mov. 2023; 24(1):67–75; doi.org/10.5114/hm.2023.114308.
 
10.
Chmura P, Oliva-Lozano JM, Muyor JM, Andrzejewski M, Chmura J, Czarnieckiet S, et al. Physical performance indicators and team success in the German Soccer League. J Hum Kinet. 2022;83(1):257–265; doi: 10.2478/hukin-2022-0099.
 
11.
Modric T, Malone JJ, Versic S, Andrzejewski M, Chmura P, Konefał M, et al. The influence of physical performance on technical and tactical outcomes in the UEFA Champions League. BMC Sports Sci Med Rehabil. 2022; 14(1):1–9; doi: 10.1186/s13102-022-00573-4.
 
12.
Luke R. A case study-based investigation into the factors that influence the physical and technical interactions on match performance within an under 18’s academy football team. Bournemouth University; 2021.
 
13.
Vieira LHP, Aquino R, Lago-Peñas C, Martins GHM, Puggina EF, Barbieri FA. Running performance in Brazilian professional football players during a congested match schedule. J Strength Cond Res. 2018;32(2):313– 325; doi: 10.1519/JSC.0000000000002342.
 
14.
Carling C, Bradley P, McCall A, Dupont G. Match-tomatch variability in high-speed running activity in a professional soccer team. J Sports Sci. 2016;34(24): 2215–2223; doi: 10.1080/02640414.2016.1176228.
 
15.
Morgans R, Bezuglov E, Orme P, Burns K, Rhodes D, Babraj J, et al. The physical demands of match-play in Academy and Senior Soccer Players from the Scottish Premiership. Sports. 2022;10(10):150; doi: 10.3390/ sports10100150.
 
16.
Chen J, Zhai S, Xi Z, Li P, Zhang S. Impact of absent crowds on technical and physical performances in the Chinese Soccer Super League. Front Psychol. 2022;13: 959213; doi: 10.3389/fpsyg.2022.959213.
 
17.
Nassis GP. Effect of altitude on football performance: analysis of the 2010 FIFA World Cup Data. J Strength Cond Res. 2013;27(3):703–707.
 
18.
Konefał M, Chmura P, Zacharko M, Baranowski J, Andrzejewski M, Błażejczyk K, et al. The influence of thermal stress on the physical and technical activities of soccer players: lessons from the 2018 FIFA World Cup in Russia. Int J Biometeorol. 2021;65(8):1291–1298; doi: 10.1007/s00484-020-01964-3.
 
19.
Bradley PS, Carling C, Diaz AG, Hood P, Barnes C, Ade J, et al. Match performance and physical capacity of players in the top three competitive standards of English professional soccer. Hum Mov Sci. 2013;32(4):808– 821; doi: 10.1016/j.humov.2013.06.002.
 
20.
Bradley PS, Noakes TD. Match running performance fluctuations in elite soccer: indicative of fatigue, pacing or situational influences?. J Sports Sci. 2013;31(15): 1627–1638; doi: 10.1080/02640414.2013.796062.
 
21.
Castellano J, Blanco-Villaseñor A, Alvarez D. Contextual variables and time-motion analysis in soccer. Int J Sports Med. 2011;32(06):415–421; doi: 10.1055/s-0031-.
 
22.
Impellizzeri FM, Menaspà P, Coutts AJ, Kalkhoven J, Menaspà MJ. Training load and its role in injury prevention. Part I: back to the future. J Athl Train. 2020; 55(9):885–892; doi: 10.4085/1062-6050-500-19.
 
23.
Santos FJ, Figueiredo T, Ferreira C, Espada M. Physiological and physical effects associated with task constraints, pitch size, and floater player participation in U-12 1 × 1 soccer small-sided games. Hum Mov. 2022; 23(4):54–62; doi: 10.5114/hm.2022.108316.
 
24.
Bradley PS, et al., The effect of playing formation on highintensity running and technical profiles in English FA Premier League soccer matches. J Sports Sci. 2011;29(8): 821–830; doi: 10.1080/02640414.2011.561868.
 
25.
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(2):195–205; doi: 10.5114/biolsport.2020.98450.
 
26.
Modric T, Versic S, Sekulic D. Position specific running performances in professional football (soccer): influence of different tactical formations. Sports. 2020;8(12):161; doi: 10.3390/sports8120161.
 
27.
Kong L, et al., The evaluation of playing styles integrating with contextual variables in professional soccer. Front Psychol. 2022;13; doi: 10.3389/fpsyg.2022.1002566.
 
28.
Ruan L, Ge H, Gómez M-Á, Shen Y, Gong B, Cui Y. Analysis of defensive playing styles in the professional Chinese Football Super League. Sci Med Football. 2022:1–9; doi: 10.1080/24733938.2022.2099964.
 
29.
Liu T, Yang L, Chen H, García-de-Alcaraz A. Impact of possession and player position on physical and technical- tactical performance indicators in the Chinese Football Super League. Front Psychol. 2021;12:722200; doi: 10.3389/fpsyg.2021.722200.
 
30.
Yi Q, Gómez MA, Wang L, Huang G, Zhang H, Liu H. Technical and physical match performance of teams in the 2018 FIFA World Cup: effects of two different playing styles. J Sports Sci. 2019;37(22):2569–2577; doi: 10.1080/02640414.2019.1648120.
 
31.
Plakias S, Moustakidis S, Kokkotis C, Tsatalas T, Papalexi M, Plakias D, et al. Identifying soccer teams’ styles of play: a scoping and critical review. J Funct Morphol Kinesiol. 2023;8(2):39; doi: 10.3390/jfmk8020039.
 
32.
Plakias S, Kokkotis C, Moustakidis S, Tsatalas T, Papalexi M, et al., Identifying playing styles of European soccer teams during the key moments of the game. J Phys Educ Sport. 2023;23(4):878–890; doi: 10.7752/ jpes.2023.04111.
 
33.
FIFA.com. instat-fifa-epts-report-oct-2019. 2021 [cited 2023; Available from: https://digitalhub.fifa.com/m/ 2fd538ffbae39eb2/original/instat-fifa-epts-reportoct- 2019.pdf.
 
34.
Thompson N, Wang X, Baskerville R. Improving IS practical significance through effect size measures. J Comp Inf Syst. 2022;62(3):434–441; doi: 10.1080/08874417. 2020.1837036.
 
35.
Khalilzadeh J, Tasci AD. Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research. Tourism Manag. 2017;62: 89–96; doi: 10.1016/j.tourman.2017.03.026.
 
36.
Witt K, Daniels C, Reiff J, Krack P, Volkmann J, Pinsker MO, et al. Neuropsychological and psychiatric changes after deep brain stimulation for Parkinson’s disease: a randomised, multicentre study. Lancet Neurol. 2008;7(7):605–614; doi: 10.1016/S1474-4422(08)70114-5.
 
37.
Lopez-Valenciano A, Garcia-Gómez JA, López-Del Campo R, Resta R, Moreno-Perez V, Blanco-Pita H, et al. Association between offensive and defensive playing style variables and ranking position in a national football league. J Sports Sci. 2022;40(1):50–58; doi: 10.1080/ 02640414.2021.1976488.
 
38.
da Mota GR, Thiengo CR, Gimenes SV, Bradley PS. The effects of ball possession status on physical and technical indicators during the 2014 FIFA World Cup Finals. J Sports Sci. 2016;34(6):493–500; doi: 10.1080/02640414. 2015.1114660.
 
39.
Bradley PS, Lago-Peñas C, Rey E, Diaz AG. The effect of high and low percentage ball possession on physical and technical profiles in English FA Premier League soccer matches. J Sports Sci. 2013;31(12):1261–1270; doi: 10.1080/02640414.2013.786185.
 
40.
Faude O, Koch T, Meyer T. Straight sprinting is the most frequent action in goal situations in professional football. J Sports Sci. 2012;30(7):625–631; doi: 10.1080/ 02640414.2012.665940.
 
41.
Yang G, Leicht AS, Carlos Lago C, Gómez M-Á. Key team physical and technical performance indicators indicative of team quality in the soccer Chinese super league. Res Sports Med. 2018;26(2):158–167; doi: 10.1080/154386 27.2018.1431539.
 
42.
da Costa IT, Garganta da Silva JM, Greco PJ, Mesquita I. Tactical principles of soccer: concepts and application. Motriz. 2009;15(3):657–668.
 
43.
Aquino R, Martins GHM, Vieira LHP, 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(8): 2155–2161; doi: 10.1519/JSC.0000000000001674.
 
44.
Ju W, Doran D, Hawkins R, Evans M, Laws A, Bradley PS. Contextualised high-intensity running profiles of elite football players with reference to general and specialised tactical roles. Biol Sport. 2022;40(1):291– 301; doi: 10.5114/biolsport.2023.116003.
 
45.
Oliva-Lozano JM, Martínez-Puertas H, Fortes V, López- Del Campo R, Resta R, Muyor JM. Is there any relationship between match running, technical-tactical performance, and team success in professional soccer? A longitudinal study in the first and second divisions of LaLiga. Biol Sport. 2023;40(2); doi: 10.5114/biolsport. 2023.118021.
 
46.
Asian-Clemente J, Rabano-Muñoz A, Requena B, Suarez- Arrones L. High-speed training in a specific context in soccer: transition games. Int J Sports Med. 2022; 43(10):881–888; doi: 10.1055/a-1794-9567.
 
eISSN:1899-1955
Journals System - logo
Scroll to top