Journal of Industrial Convergence (산업융합연구)

DAEHAN Society of Industrial Management (대한산업경영학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Competition of the World Women's Handball Championship Using Bigdata : Focused on the top 5 teams of the 2007-2019 World Women's Handball Championship

빅데이터를 활용한 여자핸드볼선수권대회 전력 비교 연구 -2007~2019년 세계여자핸드볼선수권대회 상위 5개팀과 대한민국을 중심으로-

  • Kang, Yong-Gu (Department of Leisure Sports Kyunggi University) ;
  • Kwak, Han-Pyong (Department of Faculty of Sports Science, Kyunggi University)
  • 강용구 (경기대학교 레저스포츠학과) ;
  • 곽한병 (경기대학교 스포츠과학부)
  • Received : 2021.01.22
  • Accepted : 2021.02.20
  • Published : 2021.02.28
Download PDF
⟨ Previous Next ⟩

Abstract

This study was conducted seven times from 2007 to the 2019 Women's World Handball Championships to analyze and strengthen the strength of the Korean women's handball team through the analysis of the top five countries' strengths. Among the 41 national teams participating in the World Women's Handball Championship, a total of five national teams, including the Netherlands, Norway, Russia, Spain, and France, were selected for the final study. Among the records provided by the International Handball Federation (IHF), the ranking was selected by analyzing the competition records of 41 participating countries, and technical statistics and frequency analysis were conducted using the SPSS/PC+ Ver21.0 program. based on the accumulated records of the top five women's handball competitions, handball attack and defense strategies that can make up for the inferiority in future physical conditions are needed and detailed follow-up studies are needed. Also, we hope to use it as a basic resource for improving the performance of Korean women's handball players and to play a key role in enhancing the level of women's handball at the 2021 Tokyo Olympics.

본 연구는 2007년부터 2년마다 열리는 세계대회를 7회에 걸쳐 2019년 세계여자핸드볼선수권대회까지 상위 5개 국가의 전력을 분석하고 대한민국과 비교를 통해 대한민국 여자핸드볼팀의 전력분석 및 강화를 위하여 진행하였다. 연구의 대상은 세계여자핸드볼선수권에 참가한 41개 국가 팀 중, 3회 이상 4강(4위)에 성적을 거둔 5개 국가, 네덜란드, 노르웨이, 러시아, 스페인, 그리고 프랑스까지 총 5개 국가 팀을 최종 연구대상으로 선정하였다. 자료는 국제핸드볼연맹(IHF)에서 제공하는 기록 중 총 참가국 41개국의 경기기록을 분석하여 순위를 선정하였으며, SPSS/PC+ Ver21.0 프로그램을 이용하여 기술통계 및 빈도분석을 실시하였다. 세계여자핸드볼 상위 5개 팀 대회 기록을 바탕으로 볼 때 차후 신체조건에 대한 열세를 만회할 수 있는 핸드볼 공격 및 수비 전략이 필요하고 이에 대한 세부적인 후속연구가 필요할 것으로 사료된다. 또한, 대한민국 여자핸드볼선수들의 경기력 향상의 기초자료로 활용하고 향후 2021년 도쿄올림픽의 여자핸드볼 경기에서 보다 높은 경기수준을 높일 수 있는 단초 역할을 기대한다.

Keywords

Acknowledgement

This manuscript was based on Modified a part of the first author Doctoral dissertation from Kyonggi University.

References

  1. Vuleta, D., Milanovic, D., Gruic, I. & Ohnjec, K. (2007). Influence of the goals scored in the different time periods of the game on the final outcome of matches of the 2003 Men's World Handball Championships, Portugal. 4th International scientific conference of kinesiology Science and profession-challenger for the future, EHF Web Periodical 07.
  2. Konig, H. (2010). EHF EURO in Austria-Sustainability Programmes. EHF Web Periodical 2010.
  3. Taborsky, F. (2011). Cumulative indicators of team playing performance in handball (Olympic Games Tournaments 2008). EHF Web Periodical 2008. Available at: http://home.eurohandball.com/ehf_files/Publikation/WP_Taborsky_OCGChina.pdf; accessed on 16.03.2011.
  4. Pollany, W. (2006). Euro06-flash analysis in headlines. EHF Web Periodical 2006.
  5. Burton, R., Mastrangelo, D. & Salvador, F. (2014). Special issue: Big Data and organization design. Journal of Organization Design, 3(1), 1. DOI : 10.7146/jod.3.1.16855.
  6. S. M. Kim. (2020). The effect of Daily Average Temperature on the Batter's Performance in Baseball Game : Focused on Big Data Analysis. Master's Thesis, Hoseo University, The Graduate School of Sports Science.
  7. Y. H. Yoo. (2020). Strategies for Strengthening of Taekwondo Competitiveness using Big Data Analysis. Doctoral Dissertation Graduate School of Gachon University.
  8. H. J. Choi & Y. S. Lee. (2020). The Big Data Analytics for Performance Analysis of tennis. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 22(1), 57-68. DOI : 10.21797/ksme.2020.22.1.005.
  9. S. H. Kwon. (2011). An Analysis of differences in performance at the various levels from 2010 Women's Junior Handball World Championship Master's Thesis, Department of Physical Education, Graduate School of Kyungwon University.
  10. H. J. Kim. (2009). The Analysis of Male Handball Match Recording Factor in The 2008 Beijing Olympic Games. Master's Thesis, Department of Physical Education, Graduate School Kwan Dong University.
  11. K. J. Choi. (2009). An Analysis of Defense Statistics by Match Levels in Men's Handball Games of the 29th Beijing Olympic. Master's Thesis, Department of Physical Education, Graduate School, Kook Min University, Seoul
  12. H. J. Kim, J. L. Park, J. H. Park & E. H. Cho. (2013). Evaluation of Handball Performance Based on Quantitative Index. The Korean Journal of Measurement and Evaluation in Physical Education and Sport Science, 15(1), 1-12. DOI : 10.21797/ksme.2013.15.1.001.
  13. H. K. Chung & S. S. Baek. (2017). Analysis of Handball Strategies of World Top Class Team to Prepare Rio 2016 Olympic Games: Focusing on Women's Team. Sport Science, 34(2), 175-180.
  14. M. Y. Kim. (2018). Notational analysis of Women's Handball on Olympic using Passnetwork. Master's Thesis, Graduate School of Korea National Sport University.
  15. Al-Lail, A. (2000). A motion analysis of work-rate & heart rate of elite kuwayti handball players, Kuwait, Commission for Promotion and Public Relations of the International Handball Federation.
  16. Cardinale, M. (2004). Handball performance: physiological considerations & practical approach for training metabolic aspects. European Handball Federation Periodical, 1, 3-12.
  17. Katic, R., Cavala, M. & Srhoj, V. (2007). Biomotor structures in elite female handball players. Collegium Antropologicum, 31(3), 795-801.
  18. Rogulj, N., Srhoj, V., Srhoj, Lj., Nazor, M. & Cavala, M. (2005). Some anthropologic characteristics of elite female handball players at different playing positions. Collegium antropologicum, 29(2), 705-709.
  19. Srhoj, V., Rogulj, N., Zagorac, N. & Katic, R. (2006). A new model of selection in women's handball. Collegium antropologicum, 30(3), 601-605.
  20. Karcher, C. & Buchheit, M. (2014). On-court demands of elite handball, with special reference to playing positions. Sports Medicine, 44(6), 797-814. DOI: 10.1007/s40279-014-0164-z
  21. Fieseler, G., Hermassi, S., Hoffmeyer, B., Schulze, S., Irlenbusch, L., Bartels, T., Delank, K. S., Laudner, K. G. & Schwesig, R. (2017). Differences in anthropometric characteristics in relation to throwing velocity and competitive level in professional male team handball: a tool for talent profiling. The Journal of sports medicine and physical fitness, 57(7-8), 985-992. DOI: 10.23736/S0022-4707.17.06938-9
  22. Schwesig, R., Hermassi, S., Fieseler, G., Irlenbusch, L., Noack, F., Delank, K. S., Shephard, R. J. & Chelly, M. S. (2017). Anthropometric and physical performance characteristics of professional handball players: influence of playing position. The Journal of sports medicine and physical fitness, 57(11), 1471-1478. DOI: 10.23736/S0022-4707.16.06413-6.
  23. Gutierrez, M., Rojas, J., Ortega, M., Campos, J. & Parraga, J. (2011). Anticipatory strategies of team-handball goalkeepers. Journal of sports sciences, 29(12), 1321-1328. DOI: 10.1080/02640414.2011.591421
  24. Johansson, B. & Spate, D. (2004). Analysis of the Olympic Tournament (Men) World Handball Magazine, 3, 4-37.
  25. Pokrajac, B. (2010). Analysis, discussion, comparison, tendencies in modern handball. EHF Web Periodical 2010.
  26. Alexandru, E., Alexandru, A. & Ion, M. (2009). The quantitative model of the finalizations in men's competitive handball and their efficiency. Journal of Physical Education and Sport, 24(3), 1-6.
  27. Ohnjec, K., Vuleta, D., Milanovic, D. & Gruic, I. (2008). Performance indicators of teams at the 2003 World Handball Championship for women in Croatia. Kinesiology, 40(1), 69-79. UDC : 796.322:796.092.
  28. Srhoj, V., Rogulj, N. & Katic, R. (2001). Influence of the attack end conduction on match result in handball. Collegium antropologicum, 25(2), 611-617. UDC : 796.105:796.322.
  29. Rogulj, N. (2000). Differences in situation-related indicators of the handball game in relation to the achieved competitive results of teams at 1999 world championship in Egypt. Kinesiology, 32(2), 63-74.