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Evaluation of Individual and Team Judo Strengths Using AHP Technique and Team Competition Data


  • Hirose Nobuyoshi

    (Juntendo University)

  • Nakamura Mitsuru

    (Juntendo University)

  • Hirotsu Nobuyoshi

    (Juntendo University)

  • Yoshimura Masafumi

    (Juntendo University)

  • Suganami Morio

    (Juntendo University)

  • Maekawa Naoya

    (Nagaoka National College of Technology)


This study aimed to evaluate individual and team judo strengths using an analytic hierarchy process (AHP). The source of the decision was based only upon the international regulation values assigned to each of the decisive technique: 10 points for an ippon, 7 for a waza-ari and 5 for yuko(s). The data were obtained from Japans interscholastic athletic competition for mens judo (high school teams) in 2005. Our AHP technique demonstrated an ability to predict judo strengths of individual players, and to detect potential players regardless of unsuccessful team results. There was a significant but small correlation between the actual team rankings and predicted team strengths. The predicted team strengths, however, may be more informative and appropriate to evaluate judo strengths than the tournament results, as they were based on the content of each individual match, rather than just win/lose results. Coaches or talent scouts should consider the estimated individual or team strengths as well as competition results to make more accurate decisions when selecting players or teams.

Suggested Citation

  • Hirose Nobuyoshi & Nakamura Mitsuru & Hirotsu Nobuyoshi & Yoshimura Masafumi & Suganami Morio & Maekawa Naoya, 2010. "Evaluation of Individual and Team Judo Strengths Using AHP Technique and Team Competition Data," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(4), pages 1-17, October.
  • Handle: RePEc:bpj:jqsprt:v:6:y:2010:i:4:n:2

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    References listed on IDEAS

    1. Kubatko Justin & Oliver Dean & Pelton Kevin & Rosenbaum Dan T, 2007. "A Starting Point for Analyzing Basketball Statistics," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(3), pages 1-24, July.
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