Scientists claims to predict tennis player’s next shots with algorithm

algorithm

Technological advancements never stopped to amaze us, but this time such amazement is reserved for top ranking Tennis players.

AO Nada

According to some of the Australia based Scientists and researchers sayings they have created an algorithm that can predict a tennis player’s next shot angle precisely before he or she hits the shot.

After a series of studies  and conducting rigorous data analysis of thousands of shits played by Novak Djokovik, Rafael Nadal and Roger Federer in Australian Open, the researchers working under the Queensland University of Technology (QUT) in Australia asserts to develop such technology to predict angle and kind of shot a player is going to place.

The algorithm which is named as Semi Supervised Generative Adversarial Network Architecture can be used in other forms of games enabling fans to move one step ahead with the world’s best players in an accurate but artificial grand slam.

Incorporating the Hawk-Eye data of 2012 Australian open provided by the Australian open, the researchers developed such a futuristic algorithm.

Focusing on the top seed playing tennis players like Djokovik, Nadal and Federer, the researchers have keenly studied their throw shot selection and how they changed their shots selections while progressing in a tournament.




      SUBSCRIBE NEWS LETTER

To help personalise content, tailor your experience and help us improve our services, Sportzbusiness.com uses cookies. By navigating our site, you agree to allow us to use cookies, in accordance with our Privacy Policy.