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Basics

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Performance Analysis in Game Sports: Concepts and Methods

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Abstract

This chapter deals with basics of performance analysis embedded in a broader perspective of training and exercise science starting with central definitions and concepts. Although this is an arduous and tiresome, not at all easy-going start, these are necessary prerequisites not only for the course of the book but also to show the contrast to different approaches of performance analysis. After this, a paragraph outlines the particularities of game sports compared to other types of sports. It will be proven that in performance analysis literature, these differences are not sufficiently acknowledged, and sometimes even a tacit identification of sports and game sports is found. The chapter closes with a comparison of different approaches including UK’s notational analysis and US sports analytics.

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References

  • Alamar BC (2013) Sports analytics. A guide for coaches, managers, and other decision makers. Columbia University Press, New York

    Book  Google Scholar 

  • Araújo D, Couceiro M, Seifert L, Sarmento H, Davids K (2020) Artificial intelligence in sport performance analysis. Routledge, London

    Google Scholar 

  • Carling C (2013) Interpreting physical performance in professional soccer match-play: should we be more pragmatic in our approach? Sports Med 43:655–663

    Article  PubMed  Google Scholar 

  • Carling C, Wright C, Lee JN, Bradley P (2014) Comment on ‘Performance analysis in football: a critical review and implications for future research’. J Sports Sci 32:2–7

    Article  PubMed  Google Scholar 

  • Drust B, Green M (2013) Science and football: evaluating the influence of science on performance. J Sports Sci 31:1377–1382

    Article  CAS  PubMed  Google Scholar 

  • Franks IM (1993) The effects of experience on the detection and location of performance differences in a gymnastic technique. Res Q Exerc Sport 64:227–231

    Article  CAS  PubMed  Google Scholar 

  • Franks IM, Miller G (1986) Eyewitness testimony in sport. J Sport Behav 9:39–45

    Google Scholar 

  • Franks IM, Miller G (1991) Training coaches to observe and remember. J Sports Sci 9:285–297

    Article  CAS  PubMed  Google Scholar 

  • Fried G, Mumcu C (2017) Sport analytics: a data-driven approach to sport business and management. Routledge, London

    Google Scholar 

  • Glazier PS (2010) Game, set and match? Substantive issues and future directions in performance analysis. Sports Med 40(8):625–634. https://doi.org/10.2165/11534970-000000000-00000

    Article  PubMed  Google Scholar 

  • Glazier PS (2017) Towards a grand unified theory of sports performance. Hum Mov Sci 56(Part A):139–156. https://doi.org/10.1016/j.humov.2015.08.001

    Article  PubMed  Google Scholar 

  • Hagedorn G (1972) Zur Theorie der Leistungsdiagnose im Sportspiel [On the theory of performance analysis in game sports]. In: DSB (ed) Informationsheft zum Training. DSB, Frankfurt, pp 27–48

    Google Scholar 

  • Harrison CK, Bukstein S (2017) Sports business analytics: using data do increase revenue and improve operational efficiency. Routledge, London

    Google Scholar 

  • Herold M, Kempe M, Bauer P, Meyer T (2021) Attacking key performance indicators in Soccer: current practice and perceptions from the elite to youth academy level. J Sports Sci Med 20:158–169

    Article  PubMed  PubMed Central  Google Scholar 

  • Hohmann A, Lames M, Letzelter M, Pfeiffer M (2020) Einführung in die Trainingswissenschaft [Introduction to Sport and Exercise Science], 7th edn. Limpert, Laguna Hills, CA

    Google Scholar 

  • Hughes M (2004) Notational analysis—a mathematical perspective. Int J Perform Anal Sport 4:97–139. https://doi.org/10.1080/24748668.2004.11868308

    Article  Google Scholar 

  • Hughes M, Bartlett R (2002) The use of performance indicators in performance analysis. J Sports Sci 20:739–754

    Article  PubMed  Google Scholar 

  • Hughes M, Franks IM (eds) (1997) Notational analysis of sport. Spon, London

    Google Scholar 

  • Hughes MD, Landridge C, Dawkins N (2001) Perturbations leading to shooting in Soccer. In: Hughes M, Tavares F (eds) Notational analysis of sport IV. UWIC, Cardiff, pp 23–33

    Google Scholar 

  • Hughes M, Evans S, Wells J (2001b) Establishing normative profiles in performance analysis. Int J Perform Anal Sport 1:4–27

    Google Scholar 

  • Hughes M, Bürger P, Hughes MT, Murray S, James N (2013) Profiling in sport using momentum and perturbations. J Hum Sport Exerc 8(2):242–260

    Article  Google Scholar 

  • Jayal A, McRobert A, Oatley G, O’Donoghue P (2018) Sports analytics—analysis, visualisation and decision making in sports performance. Routledge, London

    Book  Google Scholar 

  • Kelso JAS (1995) Dynamic patterns: the self-organization of brain and behavior. MIT Press, Cambridge, MA

    Google Scholar 

  • Lago C (2009) The influence of match location, quality of opposition, and match status on possession strategies in professional association football. J Sports Sci 27(13):1463–1469

    Article  PubMed  Google Scholar 

  • Lames M (1991) Leistungs diagnostik durch Computer simulation. [Performance analysis using computer simulation]. Harri Deutsch, Frankfurt am Main

    Google Scholar 

  • Lames M, McGarry T (2007) On the search for reliable performance indicators in game sports. Int J Perform Anal Sport 7(1):62–79. https://doi.org/10.1080/24748668.2007.11868388

    Article  Google Scholar 

  • Lewis M (2003) Moneyball: the art of winning an unfair game. W W Norton, New York, NY

    Google Scholar 

  • Letzelter H, Letzelter M (1982) Die Struktur sportlicher Leistungen als Gegenstand der Leistungsdiagnostik in der Trainingswissenschaft [The structure of sports performances as subject of performance analysis]. Leistungssport 12:351–361

    Google Scholar 

  • Link D (2018) Sports analytics. German J Exerc Sport Res 48:13–25. https://doi.org/10.1007/s12662-017-0487-7

    Article  Google Scholar 

  • Mackenzie R, Cushion C (2013) Performance analysis in football: a critical review and implications for future research. J Sports Sci 31:639–676

    Article  PubMed  Google Scholar 

  • Maslovat D, Franks IM (2008) The need for feedback. In M. Hughes & I. M. Franks (Eds.), T he Essentials of Performance Analysis. An Introduction (pp. 1–7). Abingdon: Routledge

    Google Scholar 

  • McGarry T (2009) Applied and theoretical perspectives of performance analysis in sport. Int J Perform Anal Sport 9:128–140

    Article  Google Scholar 

  • Merton RK (1949) Social theory and social structure. Toward the codification of theory and research. Free Press, New York, NY

    Google Scholar 

  • Miller TW (2016) Sports analytics and data science: winning the game with methods and models. Pearson, London

    Google Scholar 

  • Nevill A, Atkinson G, Hughes M (2008) Twenty-five years of sport performance research. J Sports Sci 26:413–426. https://doi.org/10.1080/02640410701714589

    Article  PubMed  Google Scholar 

  • Newell KM (1986) Constraints on the development of coordination. In: Wade MG, Whiting HTA (eds) Motor development in children: aspects of coordination and control. Martinus Nijhoff, The Hague, pp 341–360

    Chapter  Google Scholar 

  • O’Donoghue P (2009) Interacting performances theory. Int J Perform Anal Sport 9:26–46

    Article  Google Scholar 

  • O’Donoghue P (2010) Research methods for sports performance analysis. Routledge, London

    Google Scholar 

  • O’Donoghue P, Ponting R (2005) Equations for the number of matches required for stable performance profiles. Int J Comput Sci Sport 4(2):48–55

    Google Scholar 

  • Ostrowski C, Pfeiffer M (2007) Ein Modellansatz zur Aufklärung der Leistungsstruktur im Skilanglauf [A model for explaining the performance structure in Nordic Skiing]. Leistungssport 37(2):37–39

    Google Scholar 

  • Passos P, Davids K, Araújo D, Paz N, Minguéns J, Mendes J (2011) Networks as a novel tool for studying team ball sports as complex social systems. J Sci Med Sport 14(2):170–176

    Article  CAS  PubMed  Google Scholar 

  • Read B, Edwards P (1992) Teaching Children to Play Games, Leeds: White Line Publishing

    Google Scholar 

  • Sampaio J, Leite N (2013) Performance indicators in game sports. In: McGarry T, O’Donoghue P, Sampaio J (eds) Routledge handbook of sports performance analysis. Routledge, London, pp 115–126

    Google Scholar 

  • Thiess G, Schnabel G (1976) Grundbegriffe des Trainings [Basic Terms of Training]. Berlin: Sportverlag

    Google Scholar 

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Authors and Affiliations

  1. Faculty of Sports and Health Sciences, Technical University Munich, Munich, Germany

    Martin Lames

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  1. Martin Lames
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Correspondence to Martin Lames .

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Lames, M. (2023). Basics. In: Performance Analysis in Game Sports: Concepts and Methods. Springer, Cham. https://doi.org/10.1007/978-3-031-07250-5_1

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