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Effect of scaling equipment on U-10 players tennis serve during match-play: A nonlinear pedagogical approach

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  • Gimenez-Egido, José María
  • Ortega-Toro, Enrique
  • Palao, José M
  • Torres-Luque, Gema

Abstract

The aim of this study was to compare two scaled competition formats for under 10 years of age (U-10) tennis players analyzing: serve performance; serve performance according to the serve placement; rally length; rally length in function of the serve placement; serve performance according to the game status.. Twenty U-10 players (age = 9.46±0.66 years) played eighty single tennis matches. Forty matches were played according to the International Tennis Federation's Tennis 10s guide for U-10 players in the stage green (GC) and the remaining half in a modified competition (MC) decreasing net height (from 0.91 m to 0.80 m) and court size (from 23.77-m x 8.23-m to 18.00-m x 8.23-m) with green ball (lower compression ball). The study variables were collected using the “Observational Instrument for the Technical-Tactical Actions in Singles Tennis”. Results showed an increase in first serve success, hitting more aces (mean difference, ±90% CL= 1.48, 0.62-2.34) and unreturned serves (±90% CL= 0.74, 0.27 to 1.28) in Mc than GC. However, the players in GC hitting more first serves inside the net (CL= -1.14, -1.63 to -0.65). Therefore, reducing net height and court-size improves the serve performance, thus creating a meaningful learning environment for U-10 tennis players.

Suggested Citation

  • Gimenez-Egido, José María & Ortega-Toro, Enrique & Palao, José M & Torres-Luque, Gema, 2020. "Effect of scaling equipment on U-10 players tennis serve during match-play: A nonlinear pedagogical approach," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
  • Handle: RePEc:eee:chsofr:v:139:y:2020:i:c:s0960077920304094
    DOI: 10.1016/j.chaos.2020.110011
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    References listed on IDEAS

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    1. Hazuan Hizan & Peter Whipp & Machar Reid, 2011. "Comparison of serve and serve return statistics of high performance male and female tennis players from different age-groups," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 11(2), pages 365-375, August.
    2. Gemma Robinson & Peter O’Donoghue, 2007. "A weighted kappa statistic for reliability testing in performance analysis of sport," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 7(1), pages 12-19, January.
    3. David Bayer & Michael Ebert & Roland Leser, 2017. "A comparison of the playing structure in elite kids tennis on two different scaled courts," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 17(1-2), pages 34-43, March.
    4. Miriam Chang Yi Lee & Jia Yi Chow & John Komar & Clara Wee Keat Tan & Chris Button, 2014. "Nonlinear Pedagogy: An Effective Approach to Cater for Individual Differences in Learning a Sports Skill," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-13, August.
    5. Klaassen F. J G M & Magnus J. R., 2001. "Are Points in Tennis Independent and Identically Distributed? Evidence From a Dynamic Binary Panel Data Model," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 500-509, June.
    6. Stefan Schmidhofer & Roland Leser & Michael Ebert, 2014. "A comparison between the structure in elite tennis and kids tennis on scaled courts (Tennis 10s)," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 14(3), pages 829-840, December.
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