Quantifying Change of Direction Movement Demands in Professional Tennis Matchplay: An Analysis From the Australian Open Grand Slam.


Journal

Journal of strength and conditioning research
ISSN: 1533-4287
Titre abrégé: J Strength Cond Res
Pays: United States
ID NLM: 9415084

Informations de publication

Date de publication:
06 Feb 2024
Historique:
medline: 6 2 2024
pubmed: 6 2 2024
entrez: 6 2 2024
Statut: aheadofprint

Résumé

Giles, B, Peeling, P, and Reid, M. Quantifying change of direction movement demands in professional tennis matchplay: An analysis from the Australian Open Grand Slam. J Strength Cond Res 37(7): 1419-1427, 2023-Change of direction (COD) contributes significantly to the movement repertoire of professional tennis players, yet the time-motion and degree demands of these changes are poorly understood. This study examines the velocity, acceleration, and angular displacement profiles of COD movements in modern professional tennis. One hundred eighty-two singles matches of Hawk-Eye player tracking data collected from the Australian Open Grand Slam were used for analysis. A novel COD classification algorithm was used to identify >120,000 medium and high-intensity CODs for analysis. Descriptive characteristics of the COD performance were calculated using player coordinate and time variables. Sex comparisons were analyzed using 2 mixed-effects models assessed for differences via likelihood ratios. Players performed 1.6 CODs per point. Both sexes executed, on average, 1.3-1.4 shots and covered 4.8 m per COD, with men performing changes every 2.7 seconds and women every 3.1 seconds. Medium-intensity COD comprised 88-94% of all identified changes. Approximately 2 in 3 CODs involved a degree of change >105°, whereas cutting maneuvers (<45°) were most commonly high-intensity COD. This study is the first to quantify the COD characteristics of professional tennis matchplay. Both sexes performed the same average number of CODs per point, however, men executed high-intensity changes twice as frequently as women, at an average of 1 every 5 points. These novel findings will help to improve the specificity of training interventions in elite tennis conditioning.

Identifiants

pubmed: 38320234
doi: 10.1519/JSC.0000000000003937
pii: 00124278-990000000-00399
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 National Strength and Conditioning Association.

Références

Deutsch E, Deutsch SL, Douglas PS. Exercise training for competitive tennis. J Clin Sports Med 7: 417–427, 1988.
Dos'Santos T, Thomas C, Comfort P, Jones PA. The effect of angle and velocity on change of direction biomechanics: An angle-velocity trade-off. Sports Med 48: 2235–2253, 2018.
Fernandez-Fernandez J, Sanz-Rivas D, Mendez-Villanueva A. A review of the activity profile and physiological demands of tennis match play. Strength Cond J 31: 15–26, 2009.
Fernandez-Fernandez J, Sanz-Rivas D, Sanchez-Muñoz C, et al. A comparison of the activity profile and physiological demands between advanced and recreational veteran tennis players. J Strength Cond Res 23: 604–610, 2009.
Fu MC, Ellenbecker TS, Renstrom PA, Windler GS, Dines DM. Epidemiology of injuries in tennis players. Curr Rev Musculoskelet Med 11: 1–5, 2018.
Gabbett TJ, Jenkins DG, Abernethy B. Game-based Training for Improving Skill and Physical Fitness in Team Sport Athletes (Vol. 4). London, United Kingdom: SAGE Publications, 2009. pp. 273–283.
Giles B, Kovalchik S, Reid M. A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis. J Sports Sci 38: 106–113, 2019.
Giles B, Peeling P, Dawson B, Reid M. How do professional tennis players move? The perceptions of coaches and strength and conditioning experts. J Sports Sci 37: 726–734, 2019.
Gomes RV, Cunha VC, Zourdos MC, et al. Physiological responses of young tennis players to training drills and simulated match play. J Strength Cond Res 30: 851–858, 2016.
Hoppe MW, Baumgart C, Freiwald J. Do running activities of adolescent and adult tennis players differ during play? Int J Sports Physiol Perform 11: 793, 2016.
Hughes M, Franks IM. Examples of notation systems. In: Notational Analysis of Sport: Systems for Better Coaching and Performance in Sport (2nd ed.). London, United Kingdom: Routledge, 2004.
Hughes M, Meyers R. Movement patterns in elite men's singles tennis. Int J Perform Anal Sport 5: 110–134, 2005.
Kilit B, Şenel Ö, Arslan E. Can, S. Physiological responses and match characteristics in professional tennis players during a one-hour simulated tennis match. J Hum Kinet 51: 83–92, 2016.
Kovacs MS. Movement for tennis: The importance of lateral training. Strength Cond J 31: 77–85, 2009.
Kovacs MS, Roetert EP, Ellenbecker TS. Efficient deceleration: The forgotten factor in tennis-specific training. Strength Cond J 37: 92–103, 2009.
Kovalchik S, Reid M. Comparing matchplay characteristics and physical demands of junior and professional tennis athletes in the era of big data. J Sports Sci Med 16: 489–497, 2017.
McCurdie I, Smith S, Bell PH, Batt ME. Tennis injury data from the championships, wimbledon, from 2003 to 2012. Br J Sports Med 52: 607–611, 2017.
Miller S. Modern tennis rackets, balls, and surfaces. Br J Sports Med 40: 401–405, 2006.
O'Donoghue P, Ingram B. A notational analysis of elite tennis strategy. J Sports Sci 19: 107–115, 2001.
Reid M, Morgan S, Whiteside D. Matchplay characteristics of grand slam tennis: Implications for training and conditioning. J Sports Sci 34: 1791–1798, 2006.
Reilly T, Morris T, Whyte G. The specificity of training prescription and physiological assessment: A review. J Sports Sci 27: 575–589, 2009.
Renshaw I, Davids K, Savelsbergh GJP. Chapter 1: The constraints-based approach to motor learning. In: Motor Learning in Practice: A Constraints-Led Approach (1st ed.). Florence, Italy: Taylor and Francis, 2010. pp. 2–16.
Roetert EP, Ellenbecker TS, Chu D. Movement in tennis. In: Strength and Conditioning for Tennis. Reid M, Quinn A, Crespo M, eds. London, United Kingdom: ITF Ltd, 2003. pp. 165–173.
Sell K, Hainline B, Yorio M, Kovacs MS. Injury trend analysis from the us open tennis championships between 1994 and 2009. Br J Sports Med 48: 546–551, 2014.
Smekal G, Von Duvillard SP, Rihacek C, et al. A physiological profile of tennis match play. Med Sci Sports Exerc 33: 999–1005, 2001.
Smith MT, Reid M, Kovalchik S, Wood T, Duffield R. Heat stress incidence and matchplay characteristics in women's grand slam tennis. J Sci Med Sport 21: 666–670, 2018.
Weber K, Pieper S, Exler T. Characteristics and significance of running speed at the Australian open 2006: For training and injury prevention. Med Sci Tennis 12: 15–18, 2007.
Whiteside D, Reid M. External match workloads during the first week of Australian open tennis competition. Int J Sports Physiol Perform 12: 756–763, 2016.

Auteurs

Brandon Giles (B)

School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Australia.
Game Insight Group, Tennis Australia, Melbourne, Australia.

Peter Peeling (P)

School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Australia.
Western Australian Institute of Sport, Perth, Australia; and.

Machar Reid (M)

School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Australia.
Game Insight Group, Tennis Australia, Melbourne, Australia.

Classifications MeSH