Image: SportAI 3D Technique Analysis of 2D video into 3D Pose Data, Kinetic Chain Analysis, Improvement Detection and Swing Comparison
1. Smarter Coaching and Training
For coaches, giving precise, useful feedback is essential but not always easy. Traditional coaching methods are valuable, yet they can be time-consuming, costly, and sometimes influenced by personal opinion.
AI-powered tools change that. Using just a video, AI can measure details such as wrist speed, hip and shoulder rotation, and the exact ball contact point. The system instantly highlights what is working and what needs improvement, allowing coaches to provide targeted feedback right away.
This speeds up the learning process and allows coaches to focus more on motivating and guiding players rather than manually analysing every detail.
2. Making Sports Broadcasting More Engaging
Broadcasting is more than showing a match. It is about helping audiences understand and connect with what they are watching. AI provides real-time data and 3D visuals that explain a player’s movement, style, and progress over time.
Imagine watching a tennis match and instantly comparing Alcaraz’s forehand to Federer’s, or tracking how Sabalenka’s style has evolved over the years. These insights make broadcasts more interactive, informative, and engaging for viewers.
3. Choosing the Right Equipment
The right racket can make a big difference in a player’s performance. Grip size, weight, and string tension all play a role. With AI, brands can analyse a short video of a player’s swing and recommend equipment that fits their playing style and skill level.
This leads to better results, reduced risk of injury, and more confidence on the court, while building trust and loyalty between brands and players.
4. Scaling Player Development in Training Academies
Training academies often work with many players at once, making individual technique analysis challenging. AI can quickly produce detailed, data-backed reports for each player, supported by engaging visuals and accurate statistics.
This allows academies to deliver personalised training plans at scale, giving each player targeted guidance while saving significant time and effort for coaches.
The Future of Racket Sports and AI
AI-powered analysis is here to stay. At SportAI, we combine computer vision, machine learning, and biometric data to provide accurate, easy-to-use insights for players, coaches, sports streaming platforms and brands at every level.
From beginners to professionals, AI is making high-quality coaching, personalised equipment recommendations and performance tracking accessible to all, helping athletes grow in both skill and performance.
If you have any questions or comments, please reach out to SportAI at :
Contact@sportai.com