Literature DB >> 24149806

Movement characteristics of elite tennis players on hard courts with respect to the direction of ground strokes.

Rafael Martínez-Gallego1, José F Guzmán, Nic James, Janez Pers, Jesús Ramón-Llin, Goran Vuckovic.   

Abstract

Previous studies of movement characteristics in tennis have considered the effect of playing surface but have assumed that playing strategies are simply determined by the surface as opposed to being under an individual's control. This study considered the selection of cross court or down the line ground strokes as being indicative of playing strategy and measured the outcome of playing these shots in terms of the opponent's movements. Matches (N = 8) at the 2011 ATP tournament 500 Valencia were recorded and analysed using SAGIT, a computer vision tracking system that allowed both players' movements to be tracked automatically, albeit with operator supervision. The data was split into (N = 188) games for analysis purposes and these lasted a median 174.24 seconds with active time (ball in play) a median proportion of 34.89% (IQR = 10.64%) of total time. During the active time losers of games tended to cover less distance (median = 80.17 m), move quicker (median = 1.38 m·s(-1)), spend more time in the defensive zones (median = 14.24 s) and less in the offensive zones (median = 44.74 s). These results suggested that game winners tended to dominate game losers, forcing them to exhibit behaviors typically associated with a defensive strategy. Defensive and offensive strategy are not well defined currently and future investigations should consider movements in relation to individual shots, in particular their velocities, at the rally level and by different individuals to better understand successful performance. Key PointsDuring the active time losers of games covered less distance, moved quicker, spend more time in the defensive zones and less in the offensive zones.These results suggested that game winners tended to dominate game losers, forcing them to exhibit behaviors typically associated with a defensive strategy.There are no differences between the proportion of cross court shots and down the line shots played by game winners and game losers.Future research should consider individual shots at the rally level to better understand successful performance and ultimately strategy.

Entities:  

Keywords:  Motion analysis; differences; losers; tactics; winners

Year:  2013        PMID: 24149806      PMCID: PMC3761832     

Source DB:  PubMed          Journal:  J Sports Sci Med        ISSN: 1303-2968            Impact factor:   2.988


  8 in total

1.  Exercise intensity and metabolic response in singles tennis.

Authors:  M A Christmass; S E Richmond; N T Cable; P G Arthur; P E Hartmann
Journal:  J Sports Sci       Date:  1998-11       Impact factor: 3.337

2.  Observation and analysis of large-scale human motion.

Authors:  Janez Pers; Marta Bon; Stanislav Kovacic; Marko Sibila; Branko Dezman
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Review 3.  Intensity of tennis match play.

Authors:  J Fernandez; A Mendez-Villanueva; B M Pluim
Journal:  Br J Sports Med       Date:  2006-05       Impact factor: 13.800

4.  A comparison of the activity profile and physiological demands between advanced and recreational veteran tennis players.

Authors:  Jaime Fernandez-Fernandez; David Sanz-Rivas; Cristobal Sanchez-Muñoz; Babette M Pluim; Ivo Tiemessen; Alberto Mendez-Villanueva
Journal:  J Strength Cond Res       Date:  2009-03       Impact factor: 3.775

5.  A notational analysis of elite tennis serve and serve-return strategies on slow surface.

Authors:  Eric Gillet; David Leroy; Régis Thouvarecq; Jean-François Stein
Journal:  J Strength Cond Res       Date:  2009-03       Impact factor: 3.775

6.  Tactical use of the T area in squash by players of differing standard.

Authors:  Goran Vucković; Janez Pers; Nic James; Mike Hughes
Journal:  J Sports Sci       Date:  2009-06       Impact factor: 3.337

7.  A physiological profile of tennis match play.

Authors:  G Smekal; S P von Duvillard; C Rihacek; R Pokan; P Hofmann; R Baron; H Tschan; N Bachl
Journal:  Med Sci Sports Exerc       Date:  2001-06       Impact factor: 5.411

8.  A notational analysis of elite tennis strategy.

Authors:  P O' Donoghue; B Ingram
Journal:  J Sports Sci       Date:  2001-02       Impact factor: 3.337

  8 in total
  6 in total

1.  Comparing Matchplay Characteristics and Physical Demands of Junior and Professional Tennis Athletes in the Era of Big Data.

Authors:  Stephanie A Kovalchik; Machar Reid
Journal:  J Sports Sci Med       Date:  2017-12-01       Impact factor: 2.988

2.  Split-Step Timing of Professional and Junior Tennis Players.

Authors:  Ales Filipcic; Bojan Leskosek; Tjasa Filipcic
Journal:  J Hum Kinet       Date:  2017-01-30       Impact factor: 2.193

3.  Performance profiles of professional female tennis players in grand slams.

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Journal:  PLoS One       Date:  2018-07-19       Impact factor: 3.240

4.  The Effect of the Return of Serve on the Server Pair's Movement Parameters and Rally Outcome in Padel Using Cluster Analysis.

Authors:  Jesus Ramón-Llin; Jose Francisco Guzmán; Salvador Llana; Rafa Martínez-Gallego; Nic James; Goran Vučković
Journal:  Front Psychol       Date:  2019-05-28

5.  Differences in kinematic and match-play demands between elite winning and losing wheelchair padel players.

Authors:  Daniel Navas; Santiago Veiga; Enrique Navarro; Jesús Ramón-Llín
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

6.  Metabolic Demands, Center of Mass Movement and Fractional Utilization of V ˙ O 2 max in Elite Adolescent Tennis Players During On-Court Drills.

Authors:  Glenn Björklund; Mikael Swarén; Magnus Norman; Juan Alonso; Fredrik Johansson
Journal:  Front Sports Act Living       Date:  2020-07-17
  6 in total

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