Quantifying Motion and ‘T’ Dominance of Elite Squash Players

Authors

  • Kristopher Buote
  • Nadr Jomha
  • Samer Adeeb

DOI:

https://doi.org/10.12922/jshp.v4i2.80

Keywords:

Kinematics, Racket Sports, Video-analysis, Video-tracking, Sports Performance

Abstract

Advances in video analysis technology expand the realm of possibility for analyzing sport tactics and motion. Video analysis techniques are especially effective in squash due to the small, well-lit, defined court, paired with an ever-growing video collection of elite tournament matches. The availability of matches enables a new methodology that requires no special setup, but only uses video analysis software and the recorded matches that are conveniently filmed for entertainment purposes. This paper presents and evaluates this new methodology that encompasses distance travelled, velocities and speeds attained, court position, and ‘T’ dominance in elite squash. The method was validated when results were compared to previous studies, and a correlation between world rank and court dominance was measured for the first time. A strong correlation (r= 0.64,p<0.001) was found between world rank and average distance from an optimal court position known as the ‘T’ of the squash court.

References

Abernethy, B. Anticipation in squash: Differences in advance cue utilization between expert and novice players. Journal of Sports Sciences. 1990; 8(1): 17-34.

Dartfish Team Pro [Computer Software]. 2015. http://www.dartfish.com/

Franks, I. M., Wilson, G. E., and Goodman, D. Analyzing a team sport with the aid of computers, Canadian Journal Of Sport Sciences-Revue Canadienne Des Sciences Du Sport. 1987; 12(2); 120-5.

Girard, O., Chevalier, R., Habrard, M., Sciberras, P., Hot, P., and Millet, G. P. Game analysis and energy requirements of elite squash. The Journal of Strength & Conditioning Research. 2007; 21(3); 909-14.

Hughes, M. D. A comparison of the patterns of play of squash. International Ergonomics. 1985; 85; 139-41.

Hughes, M., and Franks, I. M. Dynamic patterns of movement of squash players of different standards in winning and losing rallies. Ergonomics. 1994; 37(1); 23-9.

Hughes, M., Franks, I. M., and Nagelkerke, P. A video-system for the quantitative motion analysis of athletes in competitive sport. Journal of Human Movement Studies. 1989; 17(5); 217-27.

Kram, R., Domingo, A., and Ferris, D. P. Effect of reduced gravity on the preferred walk-run transition speed. The Journal of Experimental Biology. 1997; 200(4); 821-6.

Lees, A. Science and the major racket sports: a review. Journal of Sports Sciences. 2003; 21(9); 707-32.

Martínez-Gallego, R., Guzmán, J. F., James, N., Pers, J., Ramón-Llin, J., and Vuckovic, G. Movement characteristics of elite tennis players on hard courts with respect to the direction of ground strokes. Journal of Sports Science & Medicine. 2013; 12(2); 275

McGarry, T. I. M., Khan, M. A., and Franks, I. M. On the presence and absence of behavioural traits in sport: An example from championship squash match-play. Journal of Sports Sciences. 1999; 17(4); 297-311.

Minka, T. 2002. Estimating a Gamma Distribution. Retrived from http://research.microsoft.com/en-us/um/people/minka/papers/minka-gamma.pdf

Mohler, B. J., Thompson, W. B., Creem-Regehr, S. H., Pick Jr, H. L., and Warren Jr, W. H. Visual flow influences gait transition speed and preferred walking speed. Experimental Brain Research. 2007; 181(2); 221-8.

Perš, J., Vuckovič, G., Kovačič, S., and Dežman, B. A low-cost real-time tracker of live sport events. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis, ISPA 2001, IEEE. 2001; 362-5.

Raynor, A. J., Yi, C. J., Abernethy, B., and Jong, Q. J. Are transitions in human gait determined by mechanical, kinetic or energetic factors? Human Movement Science. 2002; 21(5); 785-805.

Vučković, G., and James, N. The distance covered by winning and losing players in elite squash matches. Kinesiologia Slovenica. 2010; 16(1-2); 44-50.

Vučković, G., Dežman, B., Erčulj, F., Kovačič, S., and Perš, J. Comparative movement analysis of winning and losing players in men’s elite squash. Kinesiologia Slovenica. 2003; 9(2), 74-84.

Vučković, G., James, N., Hughes, M., Murray, S., Milanović, Z., Perš, J., and Sporiš, G. A new method for assessing squash tactics using 15 court areas for ball locations. Human Movement Science. 2014; 34; 81-90

Vučković, G., James, N., Hughes, M., Murray, S., Sporiš, G., and Perš, J. The effect of court location and available time on the tactical shot selection of elite squash players. Journal of Sports Science & Medicine. 2013; 12(1); 66.

Vučković, G., Perš, J., James, N., and Hughes, M. Tactical use of the T area in squash by players of differing standard, Journal of Sports Sciences. 2009; 27(8); 863-71.

Vučković, G., Perš, J., James, N., and Hughes, M. Measurement error associated with the Sagit/squash computer tracking software. European Journal of Sport Science. 2010; 10(2); 129-40.

Wallbutton, T. 2015. World Squash Federation. One Hundred and Forty Years of Squash. Retrieved from http://www.worldsquash.org/ws/wsf-information/squash-history/140-years-of-squash

Weyand, P. G., Sternlight, D. B., Bellizzi, M. J., and Wright, S. Faster top running speeds are achieved with greater ground forces not more rapid leg movements. Journal of Applied Physiology. 2000; 89(5); 1991-1999.

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Published

2016-07-01

How to Cite

Buote, K., Jomha, N., & Adeeb, S. (2016). Quantifying Motion and ‘T’ Dominance of Elite Squash Players. Journal of Sport and Human Performance, 4(2). https://doi.org/10.12922/jshp.v4i2.80

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Section

Original Research Articles