How spatial constraints afford successful and unsuccessful penetrative passes in elite association football

References

• Bangsbo J, Peitersen B. 2002. Defensive soccer tactics. Champaign, IL: Human Kinetics. https://books.google.pt/books?id=PtdbaoScwBIC.
   Google Scholar
• Castellano J, Álvarez D. 2013. Defensive use of the interaction space in soccer. Int J Sport Sci. 9(32):126–136.
   Google Scholar
• Cohen J. 1988. Statistical power analysis for the behavioral sciences. Hillsdale, NJ: L. Erlbaum Associates. https://books.google.pt/books?id=Tl0N2lRAO9oC.
   Google Scholar
• Coito N, Davids K, Folgado H, Bento T, Travassos B. 2020. Capturing and quantifying tactical behaviors in small-sided and conditioned games in soccer: a systematic review. Res Q Exerc Sport. 93(1):189–203. doi:10.1080/02701367.2020.1823307.
   PubMed Web of Science ®Google Scholar
• Corrêa U, Vilar L, Davids K, Renshaw I. 2014. Informational constraints on the emergence of passing direction in the team sport of futsal. Eur J Sport Sci. 14(2):169–176. doi:10.1080/17461391.2012.730063.
   PubMed Web of Science ®Google Scholar
• Costa I, Garganta J, Greco P, Mesquita I. 2009. Tactical principles of soccer: concepts and application. Revista Motriz. 15(3):657–668.
   Google Scholar
• Cumming G. 2012. Understanding the new statistics: effect sizes, confidence intervals, and meta-analysis. New York, NY: Routledge, Taylor & Francis Group. http://books.google.pt/books?id=AVBDYgEACAAJ.
   Google Scholar
• Fajen B, Riley M, Turvey M. 2009. Information, affordances, and the control of action in sport. Intern J Sport Phsychol. 40(1):79–107.
   Web of Science ®Google Scholar
• Fernández J, Bornn L. 2018. Wide open spaces: astatistical technique for measuring space creation in professional soccer. MIT conference, Sports Analytics Conference.
   Google Scholar
• Fernández J, Bornn L. 2020. SoccerMap: a deep learning architecture for visually-interpretable analysis in soccer. arXiv preprint arXiv:2010.10202.
   Google Scholar
• Folgado H, Duarte R, Fernandes O, Sampaio J. 2014. Competing with lower level opponents decreases intra-team movement synchronization and time-motion demands during pre-season soccer matches. PLoS One. 9(5):e97145. doi:10.1371/journal.pone.0097145.
   PubMed Web of Science ®Google Scholar
• Folgado H, Lemmink KAPM, Frencken W, Sampaio J. 2012. Length, width and centroid distance as measures of teams tactical performance in youth football. Eur J Sport Sci. 14(S1):S487–S492. doi:10.1080/17461391.2012.730060.
   PubMedGoogle 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
• Gonçalves B, Coutinho D, Exel J, Travassos B, Lago C, Sampaio J. 2019. Extracting spatial-temporal features that describe a team match demands when considering the effects of the quality of opposition in elite football. PLoS One. 14(8):e0221368. doi:10.1371/journal.pone.0221368.
   PubMed Web of Science ®Google Scholar
• Gonçalves B, Coutinho D, Travassos B, Folgado H, Caixinha P, Sampaio J. 2018. Speed synchronization, physical workload and match-to-match performance variation of elite football players. PloS One. 13(7):e0200019. doi:10.1371/journal.pone.0200019.
   PubMed Web of Science ®Google Scholar
• Grehaigne J-F, Godbout P. 2014. Dynamic systems theory and team sport coaching. Quest. 66:96–116. doi:10.1080/00336297.2013.814577
   Web of Science ®Google Scholar
• Headrick J, Davids K, Renshaw I, Araújo D, Passos P, Fernandes O. 2011. Proximity-to-goal as a constraint on patterns of behaviour in attacker-defender dyads in team games. J Sport Sci. 30(3):247–253. doi:10.1080/02640414.2011.640706.
   PubMed Web of Science ®Google Scholar
• Hughes M, Franks I. 2008. The essentials of performance analysis. New York, NY: Routledge.
   Google Scholar
• Hughes M, Franks IM. 2015. Essentials of performance analysis in sport. Routledge. https://books.google.pt/books?id=krhZAQAACAAJ.
   Google Scholar
• James N, Taylor J, Stanley S. 2007. Reliability procedures for categorical data in performance analysis. Int J Perform Anal Sport. 7(1):1–11. doi:10.1080/24748668.2007.11868382.
   Google Scholar
• Laakso T, Davids K, Liukkonen J, Travassos B. 2019. Interpersonal dynamics in 2-vs-1 contexts of football: the effects of field location and player roles [original research]. Front Psychol. 10(1407). doi:10.3389/fpsyg.2019.01407.
   PubMedGoogle Scholar
• Llana S, Madrero P, Fernández J. 2020. The right place at the right time: advanced off-ball metrics for exploiting an opponent’s spatial weaknesses in soccer. Proceedings of the 14th MIT Sloan Sports Analytics Conference. IT conference, Sports Analytics Conference. Boston.
   Google Scholar
• McGarry T. 2009. Applied and theoretical perspectives of performance analysis in sport: scientific issues and challenges. Int J Perform Anal Sport. 9(1):128–140. doi:10.1080/24748668.2009.11868469.
   Google Scholar
• Merlin M, Cunha SA, Moura FA, Torres RDS, Gonçalves B, Sampaio J. 2020. Exploring the determinants of success in different clusters of ball possession sequences in soccer. Res Sport Med. 28(3):339–350. doi:10.1080/15438627.2020.1716228.
   PubMed Web of Science ®Google Scholar
• Moura FA, Martins LEB, Anido RDO, De Barros RML, Cunha SA. 2012. Quantitative analysis of Brazilian football players’ organisation on the pitch. Sports Biomech. 11(1):85–96. doi:10.1080/14763141.2011.637123.
   PubMed Web of Science ®Google Scholar
• O’Donoghue P, Robinson G. 2009. Validation of the ProZone3® player tracking system: a preliminary report. Int J Comput Sci Sport. 8(1):38–53.
   Google Scholar
• Passos P, Amaro E Silva R, Gomez-Jordana L, Davids K. 2020. Developing a two-dimensional landscape model of opportunities for penetrative passing in association football–Stage I. J Sports Sci. 38(21):2407–2414. doi:10.1080/02640414.2020.1786991.
   PubMed Web of Science ®Google Scholar
• Passos P, Milho J, Fonseca S, Borges J, Araújo D, Davids K. 2011. Interpersonal Distance Regulates Functional Grouping Tendencies of Agents in Team Sports. Journal of Motor Behavior. 43(2):155–163. doi:10.1080/00222895.2011.552078.
   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):1410. doi:10.1186/s40064-016-3108-2.
   PubMedGoogle Scholar
• Ric A, Hristovski R, Gonçalves B, Torres L, Sampaio J, Torrents C. 2016. Timescales for exploratory tactical behaviour in football small-sided games. J Sports Sci. 34(18):1723–1730. doi:10.1080/02640414.2015.1136068.
   PubMed Web of Science ®Google Scholar
• Sarmento H, Clemente FM, Araújo 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. Sports Med. 48(4):799–836.
   PubMed Web of Science ®Google Scholar
• Sarmento H, Marcelino R, Anguera MT, Campaniço J, Matos N, Leitão JC. 2014. Match analysis in football: a systematic review. J Sports Sci. 32(20):1831–1843. doi:10.1080/02640414.2014.898852.
   PubMed Web of Science ®Google Scholar
• Silva P, Garganta J, Araújo D, Davids K, Aguiar P. 2013. Shared knowledge or shared affordances? Insights from an ecological dynamics approach to team coordination in sports. Sports Med. 9:765–772. doi:10.1007/s40279-013-0070-9
   Google Scholar
• Travassos B, Araújo D, Davids K, Esteves P, Fernandes O. 2012a. Improving passing actions in team sports by developing interpersonal interactions between players. Int J Sports Sci Coach. 7(4):677–688. doi:10.1260/1747-9541.7.4.677.
   Web of Science ®Google Scholar
• Travassos B, Araújo D, Davids K, Vilar L, Esteves P, Correia V. 2012b. Informational constraints shape emergent functional behaviors during performance of interceptive actions in team sports. Psychol Sport Exerc. 13(2):216–223. doi:10.1016/j.psychsport.2011.11.009.
   Web of Science ®Google Scholar
• Travassos B, Davids K, Araujo D, Esteves P. 2013. Performance analysis in team sports: advances from an Ecological Dynamics approach. Int J Perform Anal Sport. 13(1):83–95. doi:10.1080/24748668.2013.11868633.
   Web of Science ®Google Scholar
• Travassos B, Duarte R, Vilar L, Davids K, Araújo D. 2012c. Practice task design in team sports: representativeness enhanced by increasing opportunities for action. J Sports Sci. 30(13):1447–1454. doi:10.1080/02640414.2012.712716.
   PubMed Web of Science ®Google Scholar
• Travassos B, Gonçalves B, Marcelino R, Monteiro R, Sampaio J. 2014. How perceiving additional targets modifies teams’ tactical behavior during football small-sided games. Hum Mov Sci. 38:241–250. doi:10.1016/j.humov.2014.10.005.
   PubMed Web of Science ®Google Scholar
• Vilar L, Araújo D, Davids K, Bar-Yam Y. 2013a. Science of winning soccer: emergent pattern-forming dynamics in association football. J Syst Sci Complexity. 26(1):73–84. doi:10.1007/s11424-013-2286-z.
   Web of Science ®Google Scholar
• Vilar L, Araújo D, Davids K, Correia V, Esteves P. 2013b. Spatial-temporal constraints on decision-making during shooting performance in the team sport of futsal. J Sports Sci. 31(8):840–846. doi:10.1080/02640414.2012.753155.
   PubMed Web of Science ®Google Scholar
• Wickham H. 2009. ggplot2: elegant graphics for data analysis. New York, NY: Springer Publishing Company, Incorporated.
   Google Scholar