Data Annotation for AI-Driven Sports Analytics

Our client is a leading sports analytics company. They required a scalable, cost-effective way to help drive more insights into team strategy analysis and player recruitment from a variety of sports. They needed a trusted partner to process huge volumes of game footage and data with minute recordings of player movements and events in American football, tennis, soccer, and ice hockey. The client aimed to obtain maximum value from implementing AI in a sports business while handling all types of sports data, including box scores and event tracking data. Their main goal was to improve performance analysis and decision-making. By tracking over 40 different player events and annotating 550 games, we were able to refine the technology and enhance our client’s capabilities regarding team strategy analysis and effective player recruitment decisions.

We employed a team of over 80 specialists in Data Annotation who worked around the clock to deliver against the unprecedented project demand. With the help of custom annotation tools and the latest Machine Learning frameworks, we developed comprehensive systems for player tracking and event recognition. For example, our expert team developed methods and workflows that enabled us to deliver a hockey match analytics within 10 minutes of the game’s ending. This efficiency helped the client save money and time compared to their operations in Canada, without compromising on high-quality analytics and insights.

• Programming Languages: Python
• Cloud Services: AWS (Amazon Web Services)
• Machine Learning Frameworks: TensorFlow, PyTorch
• Data Annotation Tools: Custom-built annotation platforms
• Computer Vision Techniques
• MLOps Tools and Practices
• Data Analytics Tools

• Multi-Sport Annotation: We provided extensive data annotation service that covered multiple sports, starting from American football and tennis to eSoccer and ice hockey.
• Detailed Event Tracking: We had to manually annotate over 40 different player events, including position of the players, their speed, and how they handle the ball.
• High-Volume Data Processing: Over 550 games were successfully processed and annotated.
• Fast Analytics Delivery: In-depth analytics is provided within 10 minutes post-game, thus offering timely insights.
• 24/7 Operational Environment: The solution is capable of continuous processing and support via a global team.
• Large-Scale Annotation Team: The project drew on the services of over 80 professional Data Annotation specialists to achieve high-volume data processing with high accuracy.
• Cost and Time Optimization:  We designed customized tooling and workflows that enhanced the efficiency and reduced the operational cost of the task.
• Improved Game Analytics: Advanced tracking and activity recognition for more informed insight into sports analytics.
• Support for Strategic Insights: The comprehensive analytics enabled our client’s decisions regarding team strategy and player recruitment.
• Quality Control: Ensured that quality and consistency across the board are maintained in the annotations.

• Accurate and detailed Data Annotation for improved sports analytics
• Timely actionable insights into player performance and game dynamics across various sports
• Client able to make informed decisions regarding team strategies and player recruitment
• Outstanding cost saving, offering a cheaper solution than the client’s Canadian operations
• Providing analytics speedily post-game to allow the client to act on insights in near real-time
• Advanced analytics that meet and enhance the client’s competitive edge in the sports industry