Skip to main content
SpringerLink
Log in

Empirical Analysis of Japanese Football Games Using Structural Equation Modeling

  • Conference paper
  • First Online:
Advances in Human Factors in Sports and Outdoor Recreation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 496))

  • 730 Accesses

Abstract

This paper presents a framework and an empirical result for two football games played by Japanese professional football teams, focusing on their offence. By using ball possession data, this study analyses the performance of midfielders’ and forwards’ tasks, such as assists, breaking down, passthrough, and traps to determine associations among selected strength and performance variables which lead to scoring. The structural equation modeling (SEM) was used to test the framework.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Polenghi, C.: J-League history. http://www.goal.com/en-my/news/5286/featured-story/2013/09/09/4248274/j-league-history-part-1-beginnings (2013). Retrieved on 27 Jan 2016

  2. Kurzawa, D.: GPS in Sport: Analysis and Determination of Fitness Levels. University of New South Wales. http://www.sage.unsw.edu.au/currentstudents/ug/projects/Kurzawa/introduction.htm (2008). Retrieved on 27 Jan 2016

  3. Japan Football Association. Technical Report FIFA World Cup ‘98’, 7–9. 45–56. (1998). (in Japanese)

    Google Scholar 

  4. Nakagawa, A.: Acknowledge Technology of Team Play, Coach Manual for Player and Mental Management. Taishukan Publishing, Co., pp. 131—146 (1997)

    Google Scholar 

  5. Dawson, B., Appleby, B., Stewart, G.: Analysis of a 16-game winning streak in Australian rules football. In: Reilly, T., Cabri, J., Araújo, D. (eds.) Science and Football, V, vol. 1, pp. 201–204. Routledge, Taylor & Francis Group, Lisbon, Portugal, New York (2005)

    Google Scholar 

  6. Reep, C., Benjamin, B.: Skill and chance in association football. J. Roy. Stat. Soc. Ser. A (General) 131(4), 581–585 (1968)

    Article  Google Scholar 

  7. Hughes, M., Franks, I.: Analysis of passing sequences, shots and goals in soccer. J. Sports Sci. 23(5), 509–514 (2005)

    Article  Google Scholar 

  8. Hook, C., Hughes, M.D.: Patterns of play leading to shots in Euro 2000. In: Pass.com. Ed: CPA (Center for Performance Analysis), pp. 295–302. UWIC, Cardiff (2001)

    Google Scholar 

  9. Jones, P.D., James, N., Mellalieu, S.D.: Possession as a performance indicator in soccer. Int. J. Perform. Anal Sport 4(1), 98–104 (2004)

    Google Scholar 

  10. Mackenzie, R., Cushion, C.: Performance analysis in football: a critical review and implications for future research. J. Sports Sci. 31(6), 639–676 (2013)

    Article  Google Scholar 

  11. Bloomfield, J., Polman, R., O’Donoghue, P.G.: The ‘Bloomfield movement classification’: motion analysis of individual players in dynamic movement sports. Int. J. Perform. Anal. Sport 4(2), 20–31 (2004)

    Google Scholar 

  12. Coelho e Silva, M., Figueiredo, A., Sobral, F., Malina, R.M.: Profile of youth soccer players: Age–related variation and stability. In: Coelho e Silva, M., Malina, R.M. (eds.) Children and Youth in Organized Sports. Coimbra University Press, Coimbra, pp. 189–198 (2004)

    Google Scholar 

  13. Kan, A., Shiokawa, M., Okihara, K., Soon Choi, C., Usui, S., Yanagihara, T.D.E.: The movement of players and the team: comparing two games, Japan versus UAE and J-Leaguegame [Abstract] Part II: Game activity and analysis. J. Sports Sci. 22(6), 500–520 (2004)

    Article  Google Scholar 

  14. Armatas, V., Yiannakos, A., Sileloglou, P.: Relationship between time and goal scoring in soccer games: analysis of three world cups. Int. J. Perform. Anal. Sport. 7(2), 48–58 (2007)

    Google Scholar 

  15. Ensum, J., Pollard, R., Taylor, S.: Applications of logistic regression to shots at goal in association football: calculation of shot probabilities, quantification of factors and player/team. J. Sports Sci. 504 (2004)

    Google Scholar 

  16. Pollard, R., Reep, C.: Measuring the effectiveness of playing strategies at soccer. Statistician 46, 541–550 (1997)

    Google Scholar 

  17. Wisbey, B., Montgomery, P.G., Pyne, D.B., Rattray, B.: Quantifying movement demands of AFL football using GPS tracking. J. Sci. Med. Sport 13(5), 531–536 (2010)

    Article  Google Scholar 

  18. Nakayama, M., Haranaka, M., Sasaki, R., Tabei, R., Kuwabara, T., Hirashima, Y.: Comparative analysis of attack-related game aspects in the Japanese University Football League, Japanese J-League, and UEFA Champions League, Comparative Analysis of Attack–related Game Aspects in the Japanese University Football League, Japanese J-League. Football Sci. 12, 58–66 (2015)

    Google Scholar 

  19. James, N., Jones, P.D., Mellalieu, S.D.: Possession as a performance indicator in soccer. Int. J. Perform. Anal. Sport 4, 98–102 (2004)

    Google Scholar 

  20. Bate, R.: Football chance. Tactics and strategy. In: Reilly, T., Less, A., Davies, K., Murphy, W. (eds.) Science and Football V, pp. 293–301. E and FN Spon, London (1988)

    Google Scholar 

  21. Carmichael, F., Thomas, D., Ward, R.: Production and efficiency in association football. J. Sports Econ. 2(3), 228–243 (2001)

    Article  Google Scholar 

  22. Dawson, P., Dobson, S., Gerrard, B.: Estimating coaching efficiency in professional team sports: evidence from english association football. Scott. J. Polit. Econ. 47, 399–421 (2000)

    Article  Google Scholar 

  23. Garganta, J.: Análisis del juego del fútbol. El recorrido evolutivo de las concepciones, métodos e instrumentos. Revista de Entrenamiento Deportivo, Tomo, XIV, 2, 6–13. (2000)

    Google Scholar 

  24. Hadley, L., Poitras, M., Ruggiero, J., Knowles, S.: Performance evaluation of national football league teams. Manag. Decis. Econ. 21, 45–56 (2000)

    Article  Google Scholar 

  25. Hughes, M.D.: Notational analysis. In: Reilly, T., Williams, M. (eds.) Science and soccer, pp. 245–264. Routledge, London (2003)

    Google Scholar 

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

    Article  Google Scholar 

  27. McGarry, T., Franks, I.: The science of match analysis. In: Science and Soccer V, PP. 265–275. Routledge, London (2003)

    Google Scholar 

  28. Gómez López, M., Álvaro, J.: El tiempo de posesión como variable no determinante del resultado en los partidos de fútbol. El Entrenador Espanol, 97, 39–47 (2002)

    Google Scholar 

  29. Byrne, B.M.: Structural Equation Modeling Using AMOS. Basic Concepts, Applications, and Programming, 2nd edn. Routledge, New York (2010)

    Google Scholar 

  30. Cudeck, R., du Toit, S., Sörbom, D. (eds.): Structural Equation Modeling: Present and Future. Scientific Software International, Chicago (1992)

    Google Scholar 

  31. Jöreskog, K.G.: New developments in LISREL—analysis of ordinal variables using polychoric correlations and weighted least squares. Qual. Quant. 24, 387–404 (1990)

    Article  Google Scholar 

  32. Mueller, R.: Structural equation modeling: back to basics. Struct. Equ. Model. 4, 353–369 (1997)

    Article  Google Scholar 

  33. Yuan, K.H., Bentler, P.M.: Mean and covariance structure analysis: theoretical and practical improvements. J. Am. Stat. Assoc. 92, 767–777 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  34. Tabachnick, B.G., Fidell, L.S.: Using Multivariate Statistics, 5th edn. Allyn and Bacon, New York (2007)

    Google Scholar 

  35. Browne, M.W., Cudeck, R.: Alternative ways of assessing model fit. Sociol. Methods Res. 21, 230–239 (1993)

    Article  Google Scholar 

  36. Nyari, C.: The art of counter attack—a look at Somka’s efficient Hannover Side. Sundesliga Fanatic, 18 Apr 2011, http://bundesligafanatic.com/the-art-of-the-counter-attack-%E2%80%93-a-look-at-slomka%E2%80%99s-efficient-hannover-side/ (2016). Retrieved on 10 Feb 2016

Download references

Acknowledgments

This research has made use of Data Stadium Inc. database.

Author information

Authors and Affiliations

  1. Department of Management Science and Engineering, Akita Prefectural University, Yurihonjo, Akita, Japan

    Michiko Miyamoto, Yuji Kaneki & Yuta Misumi

Authors
  1. Michiko Miyamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuji Kaneki
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yuta Misumi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Michiko Miyamoto .

Editor information

Editors and Affiliations

  1. Centre for Human Factors and Sociotechni, University of the Sunshine Coast Centre for Human Factors and Sociotechni, Maroochydore, Queensland, Australia

    Paul Salmon

  2. Laboratory of Sport, Expertise and Performance, EA 7370, Department de la Recherche, INSEP Department de la Recherche, Paris, Australia

    Anne-Claire Macquet

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Miyamoto, M., Kaneki, Y., Misumi, Y. (2017). Empirical Analysis of Japanese Football Games Using Structural Equation Modeling. In: Salmon, P., Macquet, AC. (eds) Advances in Human Factors in Sports and Outdoor Recreation. Advances in Intelligent Systems and Computing, vol 496. Springer, Cham. https://doi.org/10.1007/978-3-319-41953-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-41953-4_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41952-7

  • Online ISBN: 978-3-319-41953-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation