[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2020.25.07.103

The identification of optimal data range for the discrimination between won and lost

Han, Doryung (Major of Security secretary Studies Continuing Education Center, Kyonggi University)
Choi, Hyongjun (Dept. of Physical Education (Performance Analysis in Sport), Dankook University)

Publication Information

Journal of the Korea Society of Computer and Information / v.25, no.7, 2020 , pp. 103-111 More about this Journal

Abstract

Performance indicators have often investigated and developed in order to identify foundational elements and factors for an enhancement of performance in sports. In order to identify the valid performance indicators it is important that the indicators used within a performance analysis system discriminate between the winning and losing performances within a match (Hughes and Bartlett, 2002). However, the performance indicators proposed in research studies on basketball performance have not been used for real-time analysis and feedback within a coaching context. Such real-time support for the coach and players has been described within research on other sports (Choi et al., 2004; O'Donoghue, 2001; Palmer et al., 1997). Within the process of real-time feedback, the identification of relevant performance indicators that distinguish winning and losing performances should be the first stage of the development of a real-time analysis system. Therefore, this study investigated the differences between winning and losing teams in terms of a set of performance indicators gathered during the analysis of 10 English National Basketball League matches. Winning and losing teams were compared using whole match data (N=10) as well as individual quarters (N=40). A series of Wilcoxon Signed Ranks tests was used to identify the relevant performance indicators that discriminate between winning and losing performers within whole matches and individual quarters. The tests found that 3 point shots made (p<0.05) and Assists (p<0.05) were significantly different between winning and losing teams within matches. However, 2 point shots made (p<0.05), 2 point shots attempted (P<0.05), percentages of 2 point shots scored (p<0.05), 3 point shots made (p<0.05), Defensive Rebounds (p<0.05) and Assists (p<0.05) were significantly different between winning and losing performance within quarters. The analysis task should be based on relevant performance indicators which explain the current performances to performance analysts and coaches. Within a real-time analysis and feedback scenario, this will have the additional benefit of supporting a decision based on immediate performance within the most recent quarter. Consequently, the real-time analysis system would use performance indicators which have the property of construct validity to support the decisions of the coach.

성과를 나타내는 지표는 스포츠 성과 향상을 나타내는 기본 요소를 식별하기 위해 개발되었다. 유효한 성과 지표를 식별하려면 성과 분석 시스템 내에서 사용 된 지표가 경기 내에서 성과의 승패를 구별하는 것이 매우 중요하다고 할 수 있다. (Hughes and Bartlett, 2002). 그러나 농구 성과에 관한 연구에서는 제안된 성과와 지표는 코치 및 선수의 상황에 따라 실시간 분석 및 피드백이 사용되지 않고 있다는 점이다. 코치 및 선수에 대한 이러한 실시간 지원은 다른 스포츠에 대한 연구에서도 설명되고 있다. (Choi et al., 2004; O'Donoghue, 2001; Palmer et al., 1997). 실시간 피드백 프로세스 내에서 성과와 손실을 구분하는 관련성과 지표를 식별하는 것이 실시간 분석 시스템 개발의 첫 단계가 되어야 한다. 따라서 이 연구는 10 개의 잉글랜드 내셔널 농구 리그 경기를 분석하는 동안 수집 된 성과 지표 세트 측면에서 팀의 승패와 패배의 차이점을 조사하였다. 승리와 패배 팀은 전체 경기 데이터 (N=10)와 개별 쿼터 (N=40)를 사용하여 비교되었다. 일련의 Wilcoxon Signed Ranks 테스트를 사용하여 전체 경기와 개별 쿼터 내에서 성과를 낸 사람과 잃는 사람을 구별하는 관련성과 지표를 식별하였다. 테스트 결과 3점 (p<0.05)과 어시스트 (p<0.05)는 경기 내 팀의 승패에서 크게 차이가 있다고 할 수 있다. 그러나 2점 슛 (p <0.05), 2점 샷 시도 (P <0.05), 2 점 샷의 백분율 (p <0.05), 3 점 샷 (p <0.05), 수비 리바운드 (p <0.05) ) 및 지원 (p <0.05)은 분기 내 실적의 승패에서 크게 다르게 나타나고 있다. 위와 같은 분석 작업은 성과분석에 따라 코치에게 현재 성과를 설명하는 관련성과 지표를 기반으로 해야 한다. 실시간 분석 및 피드백 시나리오 내에서 가장 최근 분기 내에서 즉각적인 성과를 기반으로 의사 결정을 지원하는 추가 이점이 있다. 결과적으로, 실시간 분석 시스템은 코치의 결정을 뒷받침하기 위해 필요하며 유효성 특성을 갖는 성능 지표를 사용한다.

Keywords

discrimination of winning; performance indicators; statistics in sports; a real-time analysis;

Citations & Related Records

Reference

1	Gleeson, M., McDonald, W. A., Pyne, D. B., Cripps, A. W., Francis, J. L., Fricker, P. A., & Clancy, R. L. (1999). Salivary IgA levels and infection risk in elite swimmers. Medicine and Science in Sports and Exercise, 31, 67-73. DOI
2	Halverstadt, A., Phares, D. A., Wilund, K. R., Goldberg ,A. P., & Hagberg, J. M. (2007). Endurance exercise training raises high-density lipoprotein cholesterol and lowers small low-density lipoprotein and very low-density lipoprotein independent of body fat phenotypes in older men and women. Metabolism, 56(4), 444-50. DOI
3	Hanin, Y. (2000). Emotions in Sport. Champaign, IL:Human Kinetics.
4	Jones, C. J., & Rose, D. J. (2005). Physical Activity Instruction of Older Adults, Champaign, IL:Human Kinetics.
5	Kimura, F., Shimiku, K., Akama, T., Akimoto, T., Kuno, S., & Kono, I. (2006). The effects of walking exercise training on immune response in elderly subjects. International Journal of Sport and Health Sciences, 4, 508-514. DOI
6	Klentrou, P., Cieslak, T., MacNeil, M., Vintinner, A. & Plyley, M., (2002). Effect of moderate exercise on salivary immunoglobulin A and infection risk in humans. European Journal of Applied Physiology, 87, 153-158. DOI
7	Kohut, M. L. & Senchina, D. S. (2004). Reversing age-associated immunosenescence via exercise. Exercise Immunology Review, 10, 6-41.
8	Kostka, T., Berthouze, S. E., Lacour, J. & Bonnefoy, M. (2000). The symptomatology of upper respiratory tract infections and exercise in elderly people. Medicine and Science in Sports and Exercise, 32, 46-51.
9	Lamm, M. E., Nedrud, J. G., Kaetzel, C. S., & Mazanec, M. B. (1995). IgA and mucosal defense. APMIS, 103, 241-246. DOI
10	Pratley, R. E., Hagberg, J. M., Dengel, D. R., Rogus, E. M., Muller, D. C., & Goldberg, A. P. (2000). Aerobic exercise training-induced reductions in abdominal fat and glucose-stimulated insulin responses in middle-aged and older men. J Am Geriatr Soc, 48(9), 1055-1061. DOI
11	Shimizu, K., Kimura, F., Akimoto, T., Akama, T., Kuno, S., & Kono, I. (2007). Effect of free-living daily physical activity on salivary secretory IgA in Elderly. Medicine and Science in Sports and Exercise, 39, 593-598. DOI
12	Rikli, R. E., & Jones, C. J. (1999). Development and validation of a functional fitness test for community-residing older adults. Journal of Aging and Physical Activity, 7, 129-161. DOI
13	Rikli, R. E., & Jones, C. J. (2001). Senior Fitness Test Manual, Champaign, IL: Human Kinetics.
14	Sakuragi, S., & Sugiyama, Y. (2006). Effects of daily walking on subjective symptoms, mood and autonomic nervous function, Journal of Physiologic Anthropology, 25, 281-289. DOI
15	Spirduso, W. W., Francis, K. L., & MacRae, P. G., (2005). Physical Dimensions of Aging, 2nd Ed., Champaign, IL:Human Kinetics.
16	Tanaka, H., Monahan, K. D., & Seals, D. R., (2001). Agepredicted maximal heart rate revisited, Journal of the American College of Cardiology, 37, 153-156. DOI
17	Tanida, T., Ueta, E., Tobiume, A., Rao, F., & Osaki, T. (2001). Influence of ageing on candidal growth and adhesion regulatory agents in saliva. Journal of Oral Pathology Medicine, 30, 328-335. DOI
18	Choi, H. J. (2004). A study of formations and roles of gender between winning and losing team in an international level of mixed double badmintons. Unpublished Master of Science Dissertation, University of Wales Institute, Cardiff: Caridff.
19	Choi, H. J., Kim, J. H., Kim, J. H., Hong, S. J., & Hughes, M. (2006a). A study of valid contents for an evaluation of team performance in Soccer. In D. Henriette, P. O'Donoghue & M. Hughes (eds.), pp. 90-97, the World Congress of Performance Analysis of Sport VII, Szombathely, Hungary.
20	Choi, H. J., Kim, J. H., & Lee, W. H. (2004). The analysing system of broadcasting in real time. In P. O'Donoghue & M. Hughes (Eds.), Performance Analysis of Sport VI, pp.245-252, Cardiff: Centre for Performance Analysis, UWIC.
21	Choi, H. J., O'Donoghue, P., & Hughes, M. (2006b). A Study of team performance indicators by separated time scale using real-time analysis techniques within English national basketball league. In D. Henriette, P. O'Donoghue & M. Hughes (eds.), pp. 124-127, the World Congress of Performance Analysis of Sport VII, Szombathely, Hungary.
22	Choi, H. J., Reed, D., O'Donoghue, P., & Hughes, M. (2006c). The valid numbers of performance indicators for real-time analysis using prediction models within men singles in 2005 Wimbledon Tennis Championship. In D. Henriette, P. O'Donoghue & M. Hughes (eds.), pp. 207-213, the World Congress of Performance Analysis of Sport VII, Szombathely, Hungary.
23	Evangelos, T., Alexandros, K., & Nikolaos, A. (2005). Analysis of fast breaks in basketball. eIJPAS, 5, 17-22.
24	Hong, Y. & Tong, Y. M. (2000). The playing pattern of the world's top single badminton players in competition - a notation analysis. Journal of Human Movement Studies, 38, 185-200.
25	Hughes, M. & Bartlett, R. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20, 739-754. DOI
26	Hughes, M. & Bartlett, R. (2004). The use of performance indicators in performance analysis. In M. Hughes & I. M. Franks (Eds.) Notational Analysis of Sport: Second Edition. London: Routledge, pp.166-188.
27	Mexas, K., Tsitskaris, G., Kyriakou, D., & Garefis, A. (2005). Comparison of effectiveness of organized offences between two different championships in high level basketball. eIJPAS, 5, 72-82.
28	Hughes, M. & Franks, I. M. (2004). Notational Analysis of Sport; Second Edition. London: Routledge.
29	Hughes, M. D. & Franks, I. M. (2005). Analysis of passing sequences, shots and goals in soccer. Journal of Sports Sciences, 23, 509-514. DOI
30	IBM Corp. (2005). The Championship, Wimbledon 2005 - Grand Slam Tennis - Official site by IBM. http://www.wimbledon.org [On-line].
31	Tavares, F. & Gomes, N. (2003). The offensive process in basketball - a study in high performance junior teams. eIJPAS, 3, 34-39.
32	Fox, K. R. (1999). The influence of physical activity on mental well-being. Public Health Nutrition, 2, 411-418. DOI
33	Akimoto, T., Kumai, Y., Akama, T., Hayashi, E., Murakami, H., Soma, R., Kuno, S., & Kono, I. (2003). Effects of 12 months of exercise training on salivary secretory IgA levels in elderly subjects. British Journal of Sports Medicine, 37, 76-79. DOI
34	American College of Sports Medicine. (2006). ACSM's Guidel ines for Exercise Testing and Prescription, 7th Ed, Philadelphia: Lippincott Williams & Wilkins.
35	Biddle, S. J. H. (2000). Emotion, mood and physical activity, In SJH Biddle, KF Fox & SH Boutcher (Eds.), Physical Activity and Psychological Well-Being, London: Routledge, 63-87.