Korean Journal of Applied Biomechanics (한국운동역학회지)

Korean Society of Applied Biomechanics (한국운동역학회)
권호 표지
DOI QR코드

DOI QR Code

Analysis of Elite Korean Women's Hockey Sprint Characteristics in International Games: Focus on the 2016~2018 A-match

국제경기에서 나타난 엘리트 여자하키 스프린트 특성분석: 2016~2018 A-match를 중심으로

  • Kim, Jieung (Department of Sport Science, Korea Institute of Sport Science) ;
  • Park, Jongchul (Department of Marine Sports, Pukyong National University) ;
  • Choi, Eunyoung (Department of Hockey Team, KT Sports) ;
  • Lee, Seunghun (Department of Elite Sports Coaching, Catholic Kwandong University)
  • Received : 2021.09.01
  • Accepted : 2021.10.13
  • Published : 2021.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Objective: The purpose of this study is to analyze the distance, number, duration, velocity of sprints generated during women's hockey competition by position to identify sprint patterns. Method: The data was collected in 17 matches between 2016 and 2018, 49 elite women's hockey players were tested using SPI-HPU to identify differences by position using SPSS 25.0. A total of 376 Sprint information was utilized. Results: First, women's hockey players all showed significant differences in the number of sprints, duration, distance, and max velocity depending on their positions. Second, there was a significant difference in the number of sprints in the difference between quarters. And the factors of duration, distance, and max velocity showed differences between positions. Third, according to the results, there were differences in the number of times, duration, distance, and max velocity in the difference between positions. Conclusion: These results can be confirmed the sprint patterns of depends on position during the women's hockey game and can be used as information for the development of physical and tactical training programs.

Keywords

References

  1. Andrzejewski, M., Chmura, J., Pluta, B., Strzelczyk, R. & Kasprzak, A. (2013). Analysis of sprinting activities of professional soccer players. The Journal of Strength & Conditioning Research, 27(8), 2134-2140. https://doi.org/10.1519/jsc.0b013e318279423e
  2. Aughey, R. J. (2011). Applications of GPS technologies to field sports. International Journal of Sports Physiology and Performance, 6(3), 295-310. https://doi.org/10.1123/ijspp.6.3.295
  3. Bradley, P. S., Di Mascio, M., Peart, D., Olsen, P. & Sheldon, B. (2010). High-intensity activity profiles of elite soccer players at different performance levels. The Journal of Strength & Conditioning Research, 24(9), 2343-2351. https://doi.org/10.1519/JSC.0b013e3181aeb1b3
  4. Cummins, C., Orr, R., O'Connor, H. & West, C. (2013). Global positioning systems (GPS) and microtechnology sensors in team sports: a sys tematic review. Sports Medicine, 43(10), 1025-1042. https://doi.org/10.1007/s40279-013-0069-2
  5. Choi, E. Y. (2020). Comparison of Evaluation Index Methods by Match Situation for Hockey Players. Un- published Doctor's Dissertation. Graduate School of Dankook University.
  6. Choi, H. K., Kim E. K, Park, J. C. & Kim, T. G. (2019). Non-Contact Injury Risk in Lower Extremity depending on Global Positioning System Variables among Female Field Hockey Players. Korea Convergence Society, 10(9), 273-281.
  7. Colby, M. J., Dawson, B., Heasman, J., Rogalski, B. & Gabbett, T. J. (2014). Accelerometer and GPS-derived running loads and injury risk in elite Australian footballers. The Journal of Strength & Conditioning Research, 28(8), 2244-2252. https://doi.org/10.1519/jsc.0000000000000362
  8. Hwang, S. H. & Kim, Y. S. (2020). The Effect of Competitive Context on Heart Rate Variability and Golf Putting. Journal of Coaching Development, 22(1), 102-109. https://doi.org/10.47684/jcd.2020.03.22.1.102
  9. Ihsan, M., Yeo, V., Tan, F., Joseph, R., Lee, M. & Aziz, A. R. (2021). Running demands and activity profile of the new four-quarter match format in men's field hockey. The Journal of Strength & Conditioning Research, 35(2), 512-518. https://doi.org/10.1519/JSC.0000000000002699
  10. James, C. & Girard, O. (2020). In-season repeated-sprint training in hypoxia in international field hockey players. Frontiers in Sports and Active Living, 2, 66. https://doi.org/10.3389/fspor.2020.00066
  11. Jeon, H. J. & Kim, G. (2011). Moving distance and activity in sprint section based upon hockey game results. Journal of Korean Physical Education Association for Girls and Women, 25(1), 143-156.
  12. Kim, H. C. (2021). A Study of Influencing Factors on World Handball Win-Loss using the Decision Tree Analysis. The Society of Digital Policy & Management, 19(5), 461-468.
  13. Kim, J. E., Song, J. H., Park. J. C. & Choi. E. Y. (2019). Performance Analysis of Women's Field Hockey Using GPS. Journal of Digital Convergence, 17(10), 461-468. https://doi.org/10.14400/JDC.2019.17.10.461
  14. Kim, J. H., Ro, G. T., Park, J. S. & Lee, W. H. (2007). The Development of Soccer Game Win, Lost Prediction Model Using Neural Network Analysis -FIFA world cup 2006 Germany. Korean Journal of Sport Science, 18(4), 54-63. https://doi.org/10.24985/KJSS.2007.18.4.54
  15. Kim, Y, K. & Hur, S. (2014). Analysis of Moving Distance During Games, Time and Heart Rate for Hockey Games Using GPS by Positions in Korea National Female Athletes. Korean Journal of Sport Science, 25(2), 354-363. https://doi.org/10.24985/kjss.2014.25.2.354
  16. Lam, E. P., Sunderland, C. D., Morris, J. G., Furlong, L. A. M., Mason, B. S. & Barrett, L. A. (2021). Effect of changing match format from halves to quarters on the performance characteristics of male university field hockey players. Sensors, 21(16), 5490. https://doi.org/10.3390/s21165490
  17. Lee, S. H., Kim, U. H. & Oh, S. O. (2021). goalkeeper's defensive ratio by shooting characteristics in the female handball: A case study of the 2019 world women's handball championships. Korean Society For Measurement And Evaluation In Physical Education And Sports Science, 23(3), 13-22.
  18. Lim, J. W. (2009). Indices of analysis for performance evaluation in field-hockey. Korea National Sport University, Seoul.
  19. Lim, J. W. & Kim, H. J. (2008). Setting Sprint Zone for Performance Analysis in Field-Hockey: Using Global Positioning System (GPS). Korean Society for Measurement and Evaluation in Physical Education and Sports Science, 10(1), 69-79.
  20. Na, K. M., Park, J. H. & Cho, E. H. (2020). Estimating the Determinants of Winner and Defeat through Performance Analysis of Badminton Single: Application of Decision Tree Analysis based on Data Mining. Korean Society of Measurement and Evaluation for Physical Education and Sports Science, 22(3), 49-62.
  21. Park, J. C., Yoon, K. S. & Kim, J. E. (2020). Movement Analysis of Women's Handball Players by Position using Inertial Measurement Units. Journal of the Korea Convergence Society, 11(4), 343-350. https://doi.org/10.15207/JKCS.2020.11.4.343
  22. Rosenblat, M. A., Perrotta, A. S. & Thomas, S. G. (2020). Effect of high intensity interval training versus sprint interval training on time-trial performance: a systematic review and meta-analysis. Sports Medicine, 50(6), 1145-1161. https://doi.org/10.1007/s40279-020-01264-1
  23. Spencer, M., Lawrence, S., Rechichi, C., Bishop, D., Dawson, B. & Goodman, C. (2004). Time-motion analysis of elite field hockey, with special reference to repeated-sprint activity. Journal of Sports Sciences, 22(9), 843-850. https://doi.org/10.1080/02640410410001716715
  24. White, A. D. & MacFarlane, N. (2013). Time-on-pitch or full-game GPS analysis procedures for elite field hockey?. International Journal of Sports Physiology and Performance, 8(5), 549-555. https://doi.org/10.1123/ijspp.8.5.549