Relationship between split-step timing and leg stiffness in world-class tennis players when returning fast serves

Sami Mecheri, Guillaume Laffaye, Celine Triolet, David Leroy, Matt Dicks, Mohamed Choukou, Nicolas Benguigui

Research output: Contribution to journalArticlepeer-review

154 Downloads (Pure)

Abstract

This study investigated split-step timing when returning serves and whether this timing is related to neuromechanical capabilities in world-class tennis players. In Experiment 1, the split-step timing of four groups of world-class players (male and female ATP/WTA seniors, and ITF juniors) was measured on court when returning serves of the same level players. The four groups initiated the split-step at a similar time, starting around the time ball-racket contact in the serve stroke and landed when early ball-flight information was available. In Experiment 2, the neuromechanical capabilities (leg stiffness and vertical jump performance) of a group of world-class players and three groups of less-skilled tennis players were examined. The results showed an increase in leg stiffness with an increase in level of expertise. A cross-experiment analysis in world-class male players (ATP/ITF, n = 10) revealed that the timing of initial foot movement was significantly correlated with the leg stiffness (r2=0.54), with later lateral step after the serve in the players who had higher stiffness. The findings support the hypothesis that world-class tennis players adapt perceptual-motor control on the basis of their neuromechanical capabilities and maximise the time before initiating their interceptive action to rely on more reliable
Original languageEnglish
Pages (from-to)1962-1971
Number of pages10
JournalJournal of Sports Sciences
Volume37
Issue number17
Early online date29 Apr 2019
DOIs
Publication statusPublished - 11 Jul 2019

Fingerprint

Dive into the research topics of 'Relationship between split-step timing and leg stiffness in world-class tennis players when returning fast serves'. Together they form a unique fingerprint.

Cite this