Contact Us | 2026 USA-Canada-Mexico World Cup Prediction Data Platform

📧 Contact Us · 2026 USA-Canada-Mexico World Cup Prediction Data Platform

Team | Contact Info | Office Locations | Social Media

👥 Our Team · Data-Driven Football

Independent football analytics team
📊 Data Scientists

Former Opta analysts and machine learning engineers specializing in football prediction models, xG algorithms, and real-time data visualization to support prediction decisions.

Core members contributed to 2018/2022 World Cup data services
⚽ Football Tactical Analysts

Former professional youth coaches and tactical columnists responsible for team tactical breakdowns, lineup analysis, and match reviews, ensuring data combines with football intelligence to enhance prediction value.

💻 Engineering Team

Handles data pipelines, front-end visualization, and API interfaces, ensuring the platform is stable, real-time, and responsive, providing a smooth data experience for prediction enthusiasts.

🏆 Vision: Help every fan understand the World Cup more deeply through data, analyze rationally, and enjoy the beauty of football intelligence.

📞 Contact Info · Reach Out Anytime

Phone / Email / Social Media
📞 Phone

+86 13106629708

Weekdays 9:00 - 18:00 (Beijing Time)
📧 Email

1664043816@qq.com

Data inquiries: data@worldcup2026.com

Prediction model collaboration: model@worldcup2026.com

Media partnership: media@worldcup2026.com

We reply within 48 hours
📱 Social Media
Follow us for daily match data updates, prediction insights, and model breakdowns

🏢 Office Locations · Global Collaboration

Headquarters & North America Representative Office
📍 New York (Headquarters)

123 Data Avenue, Suite 400
New York, NY 10001
United States

📍 London (Europe Representative Office)

45 Football Lane, Shoreditch
London, EC2A 3HX
United Kingdom

* This is an independent prediction data platform, not an official FIFA entity. All data models and prediction references are independent research results, for entertainment purposes only. Please participate responsibly.