We are creating some awesome events for you. Kindly bear with us.

AI to predict the way tennis is played

Tennis enthusiasts may find the algorithm developed by researchers from the Queensland University of Technology interesting.

As reported, the algorithm can predict where a tennis player will hit the next ball by analysing Australian Open data of thousands of shots made by the top male tennis players.

The research into the match play of Novak Djokovic, Rafael Nadal and Roger Federer could lead to new ways for professional tennis players to predict their opponent’s moves.

It could also produce virtual reality games offering the chance to go head-to-head with world’s best players in an accurate but artificial grand slam.

The researchers created the algorithm for predicting the next shot in tennis by using data from a sports technology innovator.

The data used was from the 2012 Australian Tennis Open, provided by the governing body for tennis in Australia.

The researchers narrowed their focus to study the shot selection of Djokovic, Nadal and Federer.

This is because they had the complete range of data to input into the system on how the players’ shot selection changed as the tournament progressed.

More than 3400 shots for Djokovic, nearly 3500 shots for Nadal and almost 1900 shots by Federer were analysed.

The context for each shot was then added such as whether it was a return, a winner or an error.

After about 1000 shots, the model had a pretty good idea of what was going on.

Three matches were needed by the algorithm to figure out a player’s style. Once it was able to get the three matches, it was pretty solid.

The algorithm was mimicking the brains of the top players who were already trying to predict their opponent’s next shot.

While the artificial intelligent system proved successful, the biggest challenge it faced was the unpredictability of Federer.

They had an analysis of how accurate the system is for the three top players – Djokovic, Nadal and Federer.

However, it was with Federer that the AI model struggled the most and was least accurate in its predictions.

The machine learning system, called Semi Supervised Generative Adversarial Network architecture, takes into account when in the match a point is being played.

This is because the shot selection a player might make, 40-love up serving for the first set, is very different to the shot they might hit struggling to stay in the match deep into the fifth set.

The system is capable of predicting about 1000 shots in 30 seconds.

The model is trained so that it sees the shot from first round, to the second round and third round, thereby building on experiences like a human does.

To teach the system to think like a player, the researchers created two forms of memory and a way for them to interact in making a decision

Episodic memory is effectively individual recollections. It is being able to go back and recall each individual stroke and what happened.

Semantic memory, on the other hand, is much more abstract. It is the overall learnings that came about from many instances of the episodic memory.

Then those two memories work together given an input stimulus. They each pull out something relevant from their own memories and use that to help reinforce the prediction of what is going to happen.

In less than ten years, top-level players will be able to use this sort of technique in studying the game of an upcoming opponent.

The system, given the data on a particular player, could predict how that player would hit the ball on break point if a server went either down the line or out wide.

It could also predict the likelihood that a particular player will try to beat an opponent at the net by hitting a lob or passing shot, and how that shot selection might change at different stages of a match.


Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.


CTC Global Singapore, a premier end-to-end IT solutions provider, is a fully owned subsidiary of ITOCHU Techno-Solutions Corporation (CTC) and ITOCHU Corporation.

Since 1972, CTC has established itself as one of the country’s top IT solutions providers. With 50 years of experience, headed by an experienced management team and staffed by over 200 qualified IT professionals, we support organizations with integrated IT solutions expertise in Autonomous IT, Cyber Security, Digital Transformation, Enterprise Cloud Infrastructure, Workplace Modernization and Professional Services.

Well-known for our strengths in system integration and consultation, CTC Global proves to be the preferred IT outsourcing destination for organizations all over Singapore today.


Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.


SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.


HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 


IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.

Send this to a friend