The impact of COVID-19 lockdown on soccer positional and physical demands in the Spanish La Liga

References

• Aquino R, Machado JC, Clemente FM, Praca GM, Goncalves LGC, Melli-Neto B, … Carling C. 2019. 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. Inter J Perform Ana Sport. 19(6):1026–1037. doi:10.1080/24748668.2019.1689753.
   Web of Science ®Google Scholar
• Bates D, Mächler M, Bolker B and Walker S. (2015). Fitting Linear Mixed-Effects Models Using lme4. J. Stat. Soft., 67(1), 10.18637/jss.v067.i01
   Web of Science ®Google Scholar
• Bourbousson J, Sève C, McGarry T. .2010. Space–time coordination dynamics in basketball: Part 2. The interaction between the two teams. J Sports Sci. 28(3):349–358. doi:10.1080/02640410903503640.
   PubMed Web of Science ®Google Scholar
• Bradley PS, Carling C, Archer D, Roberts J, Dodds A, Di Mascio M, … Krustrup P. 2011. The effect of playing formation on high-intensity running and technical profiles in English FA Premier League soccer matches. J Sports Sci. 29(8):821–830. doi:10.1080/02640414.2011.561868.
   PubMed Web of Science ®Google Scholar
• Bradley PS, Sheldon W, Wooster B, Olsen P, Boanas P, Krustrup P. 2009. High-intensity running in English FA premier league soccer matches. J Sports Sci. 27(2):159–168. doi:10.1080/02640410802512775.
   PubMed Web of Science ®Google Scholar
• Caro O, Zubillaga A, Fradua L, Fernandez-Navarro J. 2019. Analysis of playing area dimensions in Spanish professional soccer: extrapolation to the design of small-sided games with tactical applications. J Strength Cond Res Publish Ahead Print. doi:10.1519/JSC.0000000000003226.
   Google Scholar
• Castellano J, Blanco-Villasenor A, Alvarez D. 2011. Contextual variables and time-motion analysis in soccer. Int J Sports Med. 32(6):415–421. doi:10.1055/s-0031-1271771.
   PubMed Web of Science ®Google Scholar
• Castellano J, Casamichana D. 2015. What are the differences between first and second divisions of Spanish football teams? Inter J Perform Ana Sport. 15(1):135–146. doi:10.1080/24748668.2015.11868782.
   Web of Science ®Google Scholar
• Clemente FM, Couceiro MS, Martins FML, Mendes R, Figueiredo AJ. 2013. Measuring collective behaviour in football teams: inspecting the impact of each half of the match on ball possession. Inter J Perform Ana Sport. 13(3):678–689. doi:10.1080/24748668.2013.11868680.
   Web of Science ®Google Scholar
• Cordes O, Lamb PF, Lames M. 2012. Concepts and methods for strategy building and tactical adherence: a case study in football. Int J Sports Sci Coach. 7(2):241–254. doi:10.1260/1747-9541.7.2.241.
   Web of Science ®Google Scholar
• Coutinho D, Gonçalves B, Wong DP, Travassos B, Coutts AJ, Sampaio J. 2018. Exploring the effects of mental and muscular fatigue in soccer players’ performance. Hum Mov Sci. 58:287–296. doi:10.1016/j.humov.2018.03.004.
   PubMed Web of Science ®Google Scholar
• da Mota GR, Thiengo CR, Gimenes SV, Bradley PS. 2016. The effects of ball possession status on physical and technical indicators during the 2014 FIFA World Cup Finals. J Sports Sci. 34(6):493–500. doi:10.1080/02640414.2015.1114660.
   PubMed Web of Science ®Google Scholar
• Dellal A, Chamari K, Wong DP, Ahmaidi S, Keller D, Barros RML, … Carling C. 2011. Comparison of physical and technical performance in European soccer match-play: FA premier league and La Liga. Eur J Sport Sci. 11(1):51–59. doi:10.1080/17461391.2010.481334.
   Web of Science ®Google Scholar
• Di Salvo V, Baron R, Tschan H, Calderon Montero FJ, Bachl N, Pigozzi F. 2007. Performance characteristics according to playing position in elite soccer. Int J Sports Med. 28(3):222–227. doi:10.1055/s-2006-924294.
   PubMed Web of Science ®Google Scholar
• Diana B, Zurloni V, Elia M, Cavalera CM, Jonsson GK, Anguera MT. 2017. How game location affects soccer performance: t-pattern analysis of attack actions in home and away matches. Front Psychol. 8:11. doi:10.3389/fpsyg.2017.01415.
   PubMed Web of Science ®Google Scholar
• Fernandez-Navarro J, Fradua L, Zubillaga A, McRobert AP. 2018. Influence of contextual variables on styles of play in soccer. Inter J Perform Ana Sport. 18(3):423–436. doi:10.1080/24748668.2018.1479925.
   Web of Science ®Google Scholar
• Fernandez-Navarro J, Fradua L, Zubillaga A, McRobert AP. 2019. Evaluating the effectiveness of styles of play in elite soccer. Int J Sports Sci Coach. 14(4):514–527. doi:10.1177/1747954119855361.
   Web of Science ®Google Scholar
• Frencken W, Lemmink K, Delleman N, Visscher C. 2011. Oscillations of centroid position and surface area of soccer teams in small-sided games. Eur J Sport Sci. 11(4):215–223. doi:10.1080/17461391.2010.499967.
   Web of Science ®Google Scholar
• Gomez MA, Gomez-Lopez M, Lago C, Sampaio J. 2012. Effects of game location and final outcome on game-related statistics in each zone of the pitch in professional football. Eur J Sport Sci. 12(5):393–398. doi:10.1080/17461391.2011.566373.
   Web of Science ®Google Scholar
• Heck RH, Thomas SL, Tabata LN. 2014. Multilevel and Longitudinal Modeling with IBM SPSS (2nd ed.). New York, NY: Routledge.
   Google Scholar
• Lago-Peñas C, Gomez MA, Pollard R. 2017. Home advantage in elite soccer matches. A transient effect? Inter J Perform Ana Sport. 17(1–2):86–95. doi:10.1080/24748668.2017.1304024.
   Web of Science ®Google Scholar
• Lago C, Casais L, Dominguez E, Sampaio J. 2010. The effects of situational variables on distance covered at various speeds in elite soccer. Eur J Sport Sci. 10(2):103–109. doi:10.1080/17461390903273994.
   Web of Science ®Google Scholar
• Memmert D, Lemmink KAPM, Sampaio J. 2017. Current approaches to tactical performance analyses in soccer using position data. Sport Med. 47(1):1–10. doi:10.1007/s40279-016-0562-5.
   PubMed Web of Science ®Google Scholar
• Memmert D, Raabe D, Schwab S, Rein R. 2019. A tactical comparison of the 4-2-3-1 and 3-5-2 formation in soccer: a theory-oriented, experimental approach based on positional data in an 11 vs. 11 game set-up. Plos One. 14(1):12. doi:10.1371/journal.pone.0210191.
   Web of Science ®Google Scholar
• Mohr M, Nassis GP, Brito J, Randers MB, Castagna C, Parnell D, Krustrup P. 2020. Return to elite football after the COVID-19 lockdown. Manag Sport Leisure. 1–9. doi:10.1080/23750472.2020.1768635.
   Web of Science ®Google Scholar
• Moura FA, Barreto Martins LE, Anido RDO, Leite de Barros RM, Cunha SA. 2012. Quantitative analysis of Brazilian football players’ organisation on the pitch. Sport Biomech. 11(1):85–96. doi:10.1080/14763141.2011.637123.
   PubMed Web of Science ®Google Scholar
• Moura FA, Martins LEB, Anido RO, Ruffino PRC, Barros RML, Cunha SA. 2013. A spectral analysis of team dynamics and tactics in Brazilian football. J Sports Sci. 31(14):1568–1577. doi:10.1080/02640414.2013.789920.
   PubMed Web of Science ®Google Scholar
• Paraskevas G, Smilios I, Hadjicharalambous M. 2020. 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. 18(1):40–45. doi:10.1016/j.jesf.2019.11.001.
   PubMed Web of Science ®Google Scholar
• Pons E, García-Calvo T, Resta R, Blanco H, López del Campo R, Díaz García J, Pulido J José and Sunderland C. (2019). A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems. PLoS ONE, 14(8), e0220729 10.1371/journal.pone.022072910.1371/journal.pone.0220729.t00110.1371/journal.pone.0220729.t00210.1371/journal.pone.0220729.t00310.1371/journal.pone.0220729.s001
   PubMed Web of Science ®Google Scholar
• R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/
   Google Scholar
• Rampinini E, Martin M, Bosio A, Donghi F, Carlomagno D, Riggio M, Coutts AJ. 2021. Impact of COVID-19 lockdown on professional soccer players’ match physical activities. Sci Med Footba. 5(S1):44–52. doi:10.1080/24733938.2021.1995033.
   PubMedGoogle Scholar
• Randers MB, Mujika I, Hewitt A, Santisteban JM, Bischoff R, Solano R, … Mohr M. 2010. Application of four different football match analysis systems: a comparative study. J Sports Sci. 28(2):171–182. doi:10.1080/02640410903428525.
   PubMed Web of Science ®Google Scholar
• Rein R, Memmert D. 2016. Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science. Springerplus. 5(1):13. doi:10.1186/s40064-016-3108-2.
   PubMedGoogle Scholar
• Santos P, Lago-Peñas C, Garcia-Garcia O. 2017. The influence of situational variables on defensive positioning in professional soccer. Inter J Perform Ana Sport. 17(3):212–219. doi:10.1080/24748668.2017.1331571.
   Web of Science ®Google Scholar
• Sarmento H, Clemente FM, Araujo D, Davids K, McRobert A, Figueiredo A. 2018. What performance analysts need to know about research trends in association football (2012-2016): a systematic review. Sport Med. 48(4):799–836. doi:10.1007/s40279-017-0836-6.
   PubMed Web of Science ®Google Scholar
• Tilp M, Thaller S. 2020. Covid-19 has turned home advantage into home disadvantage in the German soccer Bundesliga. Front Sport Active Living. 2(165. doi:10.3389/fspor.2020.593499.
   PubMedGoogle Scholar
• Vilar L, Araujo D, Davids K, Bar-Yam Y. 2013. Science of winning soccer: emergent pattern-forming dynamics in association football. J Sys Sci Comp. 26(1):73–84. doi:10.1007/s11424-013-2286-z.
   Web of Science ®Google Scholar
• Wunderlich F, Weigelt M, Rein R, Memmert D. 2021. How does spectator presence affect football? Home advantage remains in European top-class football matches played without spectators during the COVID-19 pandemic. Plos One. 16(3):1–15. doi:10.1371/journal.pone.0248590.
   Web of Science ®Google Scholar
• Yi Q, Gomez MA, Wang L, Huang GH, Zhang HL, Liu HY. 2019. Technical and physical match performance of teams in the 2018 FIFA World Cup: effects of two different playing styles. J Sports Sci. 37(22):2569–2577. doi:10.1080/02640414.2019.1648120.
   PubMed Web of Science ®Google Scholar