{"id":21677777,"url":"https://github.com/ennanuel/score_plug","last_synced_at":"2026-04-07T21:30:59.426Z","repository":{"id":225363797,"uuid":"764966408","full_name":"ennanuel/score_plug","owner":"ennanuel","description":"ScorePlug is a dynamic platform designed for football (soccer) enthusiasts. It delivers live match updates and prediction insights. 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It addresses limitations commonly found in public football APIs, such as request limits and data quality.\n\n**Technologies:**\n\n* **Frontend:** Next.js, Tailwind CSS\n* **Backend:** Node.js, Express, MongoDB, GraphQL\n* **Data Source:** [Football API](https://www.football-data.org/documentation/quickstart) (details can be kept private)\n\n**Features:**\n\n* **View Football Matches:** Browse upcoming and past matches with detailed information.\n* **Live Scores:** Stay up-to-date with the latest scores and match progress.\n* **Match Predictions:** Access calculated predictions based on custom algorithms for an informed view of upcoming matches.\n* **Data Source Flexibility:** Adaptable to integrate with different football APIs in the future if desired.\n\n**Motivation:**\n\nThis project was driven by a passion for football and a desire to overcome the limitations of existing APIs. By building a custom backend, ScorePlug offers a reliable and efficient solution for accessing football data.\n\n**Project Structure:**\n\n* **score-plug-backend (Backend):** ([Link to GraphQL backend](https://score-plug-backend.onrender.com))\n    * Handles data fetching from the football API.\n    * Formats and processes data.\n    * Calculates match predictions using custom algorithms.\n    * Stores data in a MongoDB database.\n    * Provides a GraphQL API for the frontend to access data.\n* **scoreplug (Frontend):** ([Live project link](https://scoreplug.vercel.app))\n    * Built with Next.js for a performant and server-rendered experience.\n    * Utilizes Tailwind CSS for a clean and responsive UI.\n    * Consumes data from the backend GraphQL API.\n    * Renders match information, live scores, and predictions.\n\n**Deployment:**\n\n* Backend: Deployed on Render ([https://render.com/](https://render.com/))\n* Frontend: Deployed on Vercel ([https://vercel.com/](https://vercel.com/))\n\n**Next Steps:**\n\n* Enhance the user interface based on user feedback.\n* Implement features like user authentication and favorite matches.\n* Explore integrating additional football data sources for an even richer experience.\n\n**Contact:**\n\nIf like what you see, you could check out more projects on my profile or contact me for more information.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fennanuel%2Fscore_plug","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fennanuel%2Fscore_plug","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fennanuel%2Fscore_plug/lists"}