Talent spotting future tennis stars using statistics
Collaborating with the Lawn Tennis Association, Dr Sean Cumming and Dr Catherine Barnaby are developing new statistical methods which will help tennis coaches spot the young players who may have the greatest potential for success as an adult.
Grouping young tennis players according to their physical maturity rather than their chronological age could help us develop our future tennis champions, says research by the University of Bath.
Boys and girls can vastly vary in their rates of growth and maturity during adolescence. Those that mature early are taller, quicker, bigger and stronger, giving them a significant advantage over their late maturing peers. This means that later maturing players are often overlooked in the elite tennis selection process.
Now the Lawn Tennis Association (LTA) is collaborating with scientists at the University of Bath to use statistics to avoid selection bias towards early maturing players.
Assessing the talent of tomorrow
Dr Sean Cumming, Senior Lecturer in Health at the University of Bath commented: “Tennis is a sport that favours youth who are taller and mature earlier than their peers. Our data show that this selection bias impacts girls from the age of 10 and boys from the age of 12.
“Every extra inch in height of a player increases the velocity of their serve by five per cent. At the elite level, it is quite common to find junior players, especially adolescent boys, who are six foot or greater in height.
“The challenge for those working with young tennis players is to look beyond differences in maturity, and recognise those players who may have the greatest potential for success as an adult. While early maturing boys and girls have initial advantages, the pressure to win can lead them to play to their physical strengths at the expense of their technical development.
“In contrast, talented, yet late maturing players might be excluded or overlooked by talent spotters on the basis of physical characteristics that are not fully realised until adulthood.”
The research team, which includes mathematicians from Bath’s Institute for Mathematical Innovation, is developing new statistical methods to allow practitioners to better assess and account for individual differences in biological maturity and help ensure players are evaluated on the basis of their physical development, and not just their chronological age.
Gill Myburgh, a Strength and Conditioning coach at the LTA and part-time PhD student at Bath, said: “Being able to more accurately assess and account for individual differences in growth and maturity, is really important when assessing talent. It also helps us design and implement more effective and developmentally appropriate training programmes.
“Growth spurts can increase the risk of injuries, so monitoring players’ growth trajectories and adjusting their training programmes accordingly is vital in getting the best out of all players, and could be key in spotting and nurturing the next UK tennis star.”
Getting the most out of athletes
Myburgh also sees potential benefits in periodically matching players by maturity status, rather than age, in training and competition. This process, known as bio-banding, is currently being trialled by a number of Premier League football academies.
“Having early maturers occasionally train with and compete against players who are older but of similar maturity level stretches them as they can no longer rely on their physical advantages.
“It challenges them more and encourages the development of their tactical, technical and psychological skills. Bio-banding also provides late maturing players with more opportunity to use their skills and demonstrate their true potential. Of course, when implementing such strategies it is equally important to consider psychological and technical development, as not all players will benefit from playing in an older or younger age group.”
The team has recently published its research in the Journal of Sports Sciences.
Original article published by the University of Bath 4/7/16