Introduction

In the fast-evolving world of fantasy sports, access to real-time, reliable player data is vital. Datazivot partnered with a predictive analytics startup to enhance match prediction accuracy using My11Circle data scraping. The goal was to extract high-value datasets for building dynamic prediction models capable of adjusting in real-time. This initiative empowered the client to gain a competitive edge in user engagement and trust through more accurate game forecasts.

The Client

The client is a fantasy sports analytics firm catering to over 1 million users across India. Their mobile app offers match predictions, player performance tracking, and line-up suggestions. While they had solid algorithms, the lack of structured, real-time player data from platforms like My11Circle was limiting the accuracy and usability of their services.

Key Challenges

The client needed access to deep in-game player metrics and stats from My11Circle, but faced hurdles due to the platform’s dynamic structure and anti-scraping mechanisms. Firstly, My11Circle presents data through JavaScript-rendered elements, complicating traditional scraping methods. Secondly, the platform restricts excessive traffic, raising the risk of IP blocks. Another key challenge was integrating scraped insights in real-time into their prediction engine without lags or data loss. Furthermore, filtering accurate player performance metrics required precision tagging across matches and team line-ups.

Key Solutions

Datazivot designed and deployed a custom Python My11Circle scraper with built-in IP rotation and session management. It could extract real-time performance data using the My11Circle API and browser automation techniques. Through My11Circle data scraping, player stats were filtered, categorized, and delivered via a secure Web Scraping API in structured formats like JSON. We also applied Mobile App Scraping to capture data exclusive to the app version, enhancing dataset completeness. Our solution included modules for My11Circle stats scraping and automated tagging of player metrics across formats. By combining these capabilities with our Sports betting data scraping expertise, we delivered near real-time datasets that aligned with the client’s predictive models.

Client Testimonial

Conclusion

With My11Circle data scraping, Datazivot empowered the client to elevate their match prediction algorithms using real-time performance data. This not only improved user experience but positioned the app as a reliable tool in the fantasy sports landscape. Combined with Sports & Outdoor Reviews Scraping, our solution offered unmatched depth in gameplay insights—driving strategic decision-making and higher user engagement.

Ready to level up your fantasy or sports analytics platform with real-time scraping solutions? Contact Datazivot today and unlock the full power of sports data.