Growth and maturity status of elite British junior tennis players

Myburgh, Gillian K.; Cumming, Sean P.; Coelho‐e‐Silva, Manuel J.; Cooke, Karl; Malina, Robert M.

doi:10.1080/02640414.2016.1149213

Cited by 42 publications

(45 citation statements)

References 24 publications

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“…These type of analyses are interesting for two main reasons, on the one hand, the Olympic Games is the most important world competition and the best of three sets is played. On the other, male and female professional tennis have technical-tactical differences (Rod Filipčič et al, 2008;Hizan et al, 2011;Reid et al, 2016) due in part to the physical players profiles of both genders (Munivrana, Filipčić, & Filipčić, 2015;Myburgh, Cumming, Coelho E Silva, Cooke, & Malina, 2016).…”

Section: However Although There Are Studies That Analyze Competitionmentioning

confidence: 99%

Differences in competition statistics between winners and losers in male and female tennis players in Olympic Games

Fernández-García

Blanca-Torres

Nikolaidis³

et al. 2019

Ger J Exerc Sport Res

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The aim of this study was to examine differences in the performance indicators between winners and losers in male and female high-level tennis players. One hundred twenty-eight tennis singles matches played on grass court surface of London 2012 Olympic Games were analyzed. Data were collected from the official website of the Olympics and the following groups of variables were analyzed: serve variables (n=7), serve return variables (n=3) and game related variables (n=5). The results showed that winners had greater (p<0.05) values of second serve (%), aces, first and second serve points won (%), points won on first and second serve return (%), break points played and break points won (%). Furthermore, they get more, winners with both groundstrokes and net points won (%) than losers in both sexes. Furthermore, losers committed more doubles faults than winners, and in male category more unforced errors, whereas female winners get higher serve maximum speed (p<0.05). Performance indicators according to the result of the match predicted that break points won, first serve points won (%) and first serve return points won (%) are the most relevant variables in males (SC = .434; SC = .340; SC = .327), whereas it was the break points won (SC =-.372) in females. Therefore, coaches should consider the variation of the competition statistics by gender if they want enhance the chances of success of their players.

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Section: However Although There Are Studies That Analyze Competitionmentioning

confidence: 99%

Differences in competition statistics between winners and losers in male and female tennis players in Olympic Games

Fernández-García

Blanca-Torres

Nikolaidis³

et al. 2019

Ger J Exerc Sport Res

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“…Despite the considerable high demands of elite tennis and the increased participation in competitions from an early age, studies conducted with young tennis players are scarce and have been mainly focused on analyzing the evolution of different anthropometric and fitness characteristics 16 17 18 22 23 30 . However, combined data on speed and accuracy in forehand, backhand and serve strokes of young tennis players with different SL are limited 15 30 .…”

Section: Introductionmentioning

confidence: 99%

Reliability and Accuracy of Ball Speed During Different Strokes in Young Tennis Players

González-González

Rodríguez-Rosell

Clavero-Martín

et al. 2018

Sports Med Int Open

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This study aimed to examine the relationship between anthropometric and sport level (SL) variables and both ball speed and accuracy in young male competitive tennis players. A secondary aim of this study was to analyze the possible differences in ball speed and accuracy between players of different competitive levels. A total of 85 players (age: 14.7±2.4 years; height: 1.65±0.12 m; body weight: 56.3±13.4 kg) were divided into five groups according to their positions in the ranking list. To measure stroke performances, the goal was to hit 20 balls at the maximum possible speed inside the court, with the opportunity of hitting a maximum of 30 balls for each groundstroke and 40 for serve. Accuracy was calculated by dividing the number of balls inside the default surface by the total number of hits. The ball speed showed high reliability for all three strokes assessed. The ball speed progressively increased as SL increased for all strokes, whereas accuracy remained unchanged across SL groups. All independent variables presented significant relationships (r=0.59–0.85, p<0.05–0.001) with ball speed for all strokes. However, after applying partial correlations these relationships decreased substantially (r=0.02–0.51). The accuracy showed significant relationships with SL only in the serve (r=0.31, p<0.05) and backhand (r=0.26, p<0.05) strokes. In conclusion, the results of the present study suggest that tennis performance depends on increasing ball speed while maintaining a relatively stable level of accuracy.

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“…For example, advanced maturation has contributed to the selection of male youth soccer players and exclusion of later maturing youth, beginning as early as 12 years of age (Malina et al 2017). A similar maturational advantage for selection has been observed in elite male and female junior tennis players and male youth hockey players (Sherar et al 2007;Myburgh et al 2016). The current findings affirm this same bias in selected male hockey, basketball, U-16 volleyball, baseball and football players who were all determined to have earlier ages of PHV and were, thus, more mature for their CA than their deselected counterparts.…”

Section: Discussionmentioning

confidence: 84%

The role of growth and maturation during adolescence on team-selection and short-term sports participation

Baxter-Jones

Barbour-Tuck

Dale

et al. 2020

Annals of Human Biology

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Background: During adolescence, deselection from sport occurs during team try-outs when month of birth, stage of growth and maturation may influence selection. Aim: The purpose of this study was to identify differences in growth and maturity related factors between those selected and deselected in youth sports teams and identify short-term associations with continued participation. Subjects and methods: Eight hundred and seventy participants, aged 11-17 years, were recruited from six sports try-outs in Saskatchewan, Canada: baseball, basketball, football, hockey, soccer and volleyball. Two hundred and forty-four of the initial 870 (28%) returned for follow-up at 36 months. Chronological (years from birth), biological (years from age at peak height velocity (APHV)) and relative (month of birth as it relates to the selection band) ages were calculated from measures of date of birth, date of test, height, sitting height and weight. Parental heights were measured or recalled and participant's adult height predicted. Reference standards were used to calculate z-scores. Sports participation was self-reported at try-outs and at 36-month follow-up. Results: There was an over-representation of players across all sports born in the first and second quartiles of the selection bands (p < 0.05), whether they were selected or deselected. z-scores for predicted adult height ranged from 0.1 (1.1) to 1.8 (1.2) and were significantly different between sports (p < 0.05). Height and APHV differences (p < 0.05) were found between selected and deselected male participants. In females only weight differed between selected and deselected female hockey players (p < 0.05); no further differences were found between selected and deselected female participants. Four per cent of deselected athletes exited sports participation and 68% of deselected athletes remained in the same sport at 36 months, compared with 84% of selected athletes who remained in the same sport. Conclusions: It was found that youth who attended sports team's try-outs were more likely to be born early in the selection year, be tall for their age, and in some sports early maturers. The majority of both the selected and deselected participants continued to participate in sport 36 months after tryouts, with the majority continuing to participate in their try-out sport.

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Growth and maturity status of elite British junior tennis players

Cited by 42 publications

References 24 publications

Differences in competition statistics between winners and losers in male and female tennis players in Olympic Games

Differences in competition statistics between winners and losers in male and female tennis players in Olympic Games

Reliability and Accuracy of Ball Speed During Different Strokes in Young Tennis Players

The role of growth and maturation during adolescence on team-selection and short-term sports participation

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