Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This project is a web application dedicated to aggregating and analyzing football data from multiple sources. The main purpose is to provide users with comprehensive statistics and predictive insights by comparing data across several platforms, enhancing the decision-making process for fans and analysts alike.

## CORE FEATURES
1. **Data Aggregation**: Integrate data from at least four different football statistics websites to gather a wide array of metrics.
2. **Detailed Statistics**: Present detailed statistics including number of shots, shots on target, cards, fouls (received and committed), corners, and goals.
3. **Predictive Analysis**: Provide predictive insights based on aggregated data, such as total goals, double chance predictions, and highest counts of corners and cards.
4. **User Dashboard**: Create a user-friendly dashboard where users can view and compare statistics visually.
5. **Responsive Design**: Ensure the application is fully responsive and accessible on various devices.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography
- **Color Mode**: Light theme with dark text on light backgrounds
- **Primary Color**: #1978E5 (accent for buttons, links, highlights)
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs
- **Layout**: The main layout will feature a top navigation bar, a large hero section displaying key metrics, followed by sections for detailed statistics, predictive analysis, and a footer with contact information.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript
- **Styling**: Tailwind CSS
- **UI Components**: shadcn/ui
- **State Management**: Redux (or any state management library as needed)

## IMPLEMENTATION STEPS
1. **Set Up Project**: Initialize a new React project with TypeScript and install Tailwind CSS and shadcn/ui.
2. **Design Layout**: Create the layout structure with a header, hero section, statistics section, and footer.
3. **Data Integration**: Implement APIs or scraping techniques to fetch data from the selected football statistics websites.
4. **Data Processing**: Create functions to calculate averages and generate predictive insights from the aggregated data.
5. **Dashboard Creation**: Build out the dashboard components, ensuring all statistics are displayed clearly and concisely.
6. **Testing**: Conduct thorough testing to ensure all features work as expected and the application is responsive across devices.
7. **Deployment**: Deploy the application using a suitable hosting service.

## USER EXPERIENCE
Users will be welcomed with a clean and intuitive interface. They will access a dashboard that summarizes key statistics at a glance while having the ability to drill down into detailed metrics. Predictive insights will be prominently displayed, allowing users to make informed decisions based on the aggregated data. The minimalist design will ensure that users can easily navigate through the information without distraction.