NBA Stats Analyzer

A sophisticated React application for analyzing NBA player performance with advanced statistical insights and predictive metrics.

🌟 Features

Dynamic Player Analysis

• Detailed Player Profiles: Comprehensive view of player statistics with real-time updates
• Performance Metrics: Track points, assists, and rebounds with customizable thresholds
• Visual Analytics: Interactive charts showing performance trends across different time frames
• Hit Rate Analysis: Statistical success rate for meeting performance thresholds
• Confidence Scoring: Predictive metrics for future performance

Advanced Data Visualization

• Responsive Charts: Dynamic bar charts with automatic sizing based on data ranges
• Interactive Filters: Time frame selection (Last 5/10/15/20 games or Season)
• Color-Coded Insights: Visual indicators for performance thresholds and confidence levels
• Custom Tooltips: Detailed game information on hover

User Experience

• Responsive Design: Fully responsive layout that works across all device sizes
• Material Design: Modern UI using Material-UI components and custom styling
• Interactive Elements: Smooth animations and transitions for user interactions
• Real-time Updates: Dynamic data fetching and state management

🛠 Technical Stack

• Frontend Framework: React with TypeScript
• UI Library: Material-UI (MUI)
• Charting: Recharts for data visualization
• State Management: React Hooks and Context
• Styling: Styled Components with MUI's styling system
• Data Handling: Async/await patterns with error boundaries
• Authentication: JWT-based auth system with secure storage

🏗 Architecture

Component Structure

• Dashboard: Main analytics overview with filterable stats
• PlayerDetail: Detailed player analysis with historical performance
• FilterBar: Reusable component for data filtering
• StatsOverview: High-level metrics display
• Common Components: Reusable UI elements (Header, Loading states)

Data Flow

• Centralized data fetching through service layer
• Type-safe data handling with TypeScript interfaces
• Efficient state management with React hooks
• Optimized rendering with memoization

🚀 Performance Features

• Responsive data loading with loading states
• Optimized chart rendering for large datasets
• Efficient data caching and state management
• Debounced filter updates for smooth user experience

💡 Key Implementations

Advanced Statistics

interface PlayerDetailData {
    playerId: number;
    playerName: string;
    team: string;
    average: number;
    hitRate: number;
    confidenceScore: number;
    recentGames: RecentGame[];
}

Dynamic Visualization

const getBarWidth = (timeFrame: TimeFrame) => {
    switch (timeFrame) {
        case "L5": return 80;
        case "L10": return 60;
        case "L15": return 45;
        case "L20": return 35;
        case "SEASON": return 25;
        default: return 60;
    }
};

🔒 Security

• Secure authentication flow
• Protected API endpoints
• Session management
• Error handling with user-friendly messages

🎯 Future Enhancements

• Advanced statistical modeling
• Player comparison features
• Team analytics dashboard
• Historical trend analysis
• Export functionality for reports
• Mobile app version

📈 Project Highlights

• Clean, maintainable code architecture
• Type-safe implementation with TypeScript
• Responsive and intuitive user interface
• Scalable component structure
• Performance-optimized data handling