eVARethikamentous
eVARethikamentous is a groundbreaking website commissioned to compile and analyze data from various referees and reporters. Its primary goal is to aggregate analysis into one comprehensive database, providing statistical insights into decisions made during a football season. This innovative platform aims to shed light on instances where teams may have been 'wronged,' enhancing transparency and understanding within the sport.
Explore eVARethikamentous
Learn more about the features and capabilities of eVARethikamentous.
NextJS and TypeScript
The website leverages the power and flexibility of NextJS and TypeScript to create a robust and scalable platform. NextJS provides server-side rendering and static site generation, ensuring optimal performance and SEO benefits. TypeScript adds a layer of type safety, reducing bugs and enhancing developer productivity by catching errors early in the development process. Together, these technologies enable the creation of a high-performance, maintainable, and secure website that can handle complex data and deliver a seamless user experience.
Global Expansion Capability
Designed with a region-agnostic architecture, allowing it to be easily expanded to cover football leagues and matches from any country. This flexibility is achieved through modular data structures and a form of white-labeling, ensuring that the platform can adapt to different regulatory environments, languages, and statistical requirements. As a result, the website can grow to become a global resource for analyzing referee decisions and promoting transparency in football worldwide.
Dynamic Data Management with Sanity
The platform uses Sanity as its headless CMS, providing a robust and flexible backend for managing and storing vast amounts of data from referees and reporters. Sanity's real-time capabilities and customizable content schemas allow for efficient data entry, management, and retrieval, ensuring that the database remains accurate and up-to-date. Additionally, Sanity's GROQ (Graph-Relational Object Queries) language enables powerful querying capabilities, making it easy to fetch and display complex statistical insights on the website.
Optimized Performance Through Caching
Due to the data-intensive nature of eVARethikamentous, many pages contain substantial amounts of information and statistics, which can slow down load times. To counteract this, extensive caching mechanisms have been implemented. By leveraging NextJS’s built-in static generation and incremental static regeneration features, along with advanced caching strategies, the website can deliver heavy pages quickly and efficiently. This ensures a smooth user experience even when accessing detailed and complex datasets, enhancing the overall usability and responsiveness of the platform.