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Live Sports Data Source: 2026世界杯fenglongkai

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HomeScoreAwayLeagueTime (CST)
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Updated 2026-06-10 15:56 (CST)
Platform Documentation Core Data

Match Data & Live Analysis Hub

This guide delves into key match data metrics and practical techniques, empowering you to fully grasp team strengths and live tournament action for maximum data impact.

Introduction

To create extensions that improve functionality and bring joy to users, it's important to focus on user-centered design, thoughtful layout strategies, and effective use of color and typography. Let's explore how you can seamlessly integrate your extensions with the Simple experience. If you plan to publish your App on the Marketplace, please review our Platform Application Guide for the Design and Usability section.

Dos illustration

Crafting your interface

Our data platform supports standard API access. Utilize HTML, CSS, and JavaScript to build custom data visualizations, akin to single-page applications. We encourage popular frameworks like React or Vue for component development and Tailwind CSS or Bootstrap for styling to enhance development speed and user experience.

While direct platform integration isn't mandatory, we recommend aligning your application's aesthetic with our platform's style for a seamless user journey and increased engagement.

Want to build a native-style app?
We provide a simplified design system including colors, typography, components, patterns, and examples to accelerate your app design. Interested? Access the Figma UI Kit here.

Design principles

Your data presentation should adhere to these core principles:

  • User-Centric Design: Applications should address user needs and solve specific pain points.
  • Intuitive Interface: Apps should be easy to navigate, minimizing the learning curve and aiding data insights without adding complexity.
  • Consistent Styling: Maintain uniformity in colors, typography, and interactive elements within your app for enhanced user experience and navigation.
  • Facilitate Analysis: Applications should not impede user workflows; avoid unnecessary steps that disrupt analytical thought.
  • Clear Communication: Use straightforward language to help users understand the relationships between data, layout, and functionality.
  • Accessibility: Strive for broad accessibility, adhering to industry standards and best practices for all users.

Design guidelines

Select color palettes that resonate with the tournament theme and your analytical focus. Our platform's primary interface uses vibrant colors; consider maintaining similar consistency in your applications.

Common Error Codes

If you encounter this prompt, please review your API request frequency. Excessive polling or numerous concurrent requests may trigger this. Optimize your data retrieval strategy.

{
    "Info Message": "Rate Limit Exceeded",
    "Error Code": "too_many_requests",
    "External Reference": null,
    "Details": [],            
}

API Integration

Our APIs offer user-friendly objects and methods for interacting with match data. Access existing datasets or introduce your own custom data dimensions.

Summary Analysis

We'll guide you through the essential file structure, style configurations, and dynamic data handling required for building data analysis applications. Explore detailed documentation for in-depth learning on app configuration and file specifics. Feel free to experiment and adjust during your exploration.

Hands-on practice is the most effective learning method. Our data templates provide a secure and efficient environment for experimentation.

Updated 14 days ago
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