-
-
App Logo
Career Curve - MLB Prospect Analytics App
Core Concept & Inspiration: Career Curve was inspired by the growing importance of data analytics in baseball scouting and player development. The name "Career Curve" is a clever play on baseball terminology (curveball) while representing a player's career trajectory. The app aims to modernize how baseball prospects are evaluated by providing:
- Advanced statistical analysis
- Career probability predictions
- Player comparisons
- Team-by-team prospect tracking
Key Features:
**Prospect Tracking
- Comprehensive player profiles
- Position-specific statistics
- Performance metrics (batting/pitching)
- Career probability predictions
- Peak WAR projections
- MLB debut timeline predictions
- Similar player comparisons
Team Analysis
- Division-based organization
- Team-specific prospect pools
- Organizational depth charts
- Prospect rankings by team
- Division-wide comparisons
Analytics Dashboard
- Interactive charts and graphs
- Success probability distribution
- WAR projections
- Position distribution analysis
- Timeline visualization
- Key performance metrics
User Experience
- Dark/Light mode support
- Customizable font sizes
- Profile management
- Smooth animations
- Intuitive navigation
Technical Implementation:
Architecture
- MVVM (Model-View-ViewModel) design pattern
- SwiftUI for modern UI development
- Combine framework for reactive updates
- Clean separation of concerns
Data Models
- Player (Core data model) - Team (Team information) - Division (League structure) - Stats (Performance metrics) - ProjectedStats (Predictions)Key Components
- Custom Theme system for consistent styling
- Reusable UI components
- Chart implementations
- Animation systems
- Data persistence
Development Challenges & Solutions:
Data Structure Complexity
- Challenge: Managing complex relationships between players, teams, and statistics
- Solution: Implemented clear model hierarchies and type-safe relationships
State Management
- Challenge: Keeping UI in sync with data updates
- Solution: Used @StateObject and @Published for reactive updates
Performance Optimization
- Challenge: Smooth handling of large datasets
- Solution: Implemented lazy loading and efficient list rendering
Dark Mode Implementation
- Challenge: Maintaining visual hierarchy in both modes
- Solution: Created a sophisticated theme system with dynamic colors
Animation Smoothness
- Challenge: Complex transitions and loading states
- Solution: Custom animation timing and sequencing
Project Structure:
Career Curve/
├── Models/
│ ├── Player.swift
│ ├── Team.swift
│ └── Stats models
├── Views/
│ ├── ProspectViews
│ ├── TeamViews
│ ├── AnalyticsViews
│ └── SettingsViews
├── ViewModels/
│ └── ProspectViewModel.swift
├── Utilities/
│ └── Theme.swift
└── Resources/
└── Assets.xcassets
Technical Features:
Custom UI Components
- StatCard for metrics display
- ProbabilityRing for visual stats
- Custom charts and graphs
Theme System
- Dynamic color adaptation
- Custom color sets for different modes
- Consistent visual language
Data Visualization
- Interactive charts
- Custom animations
- Real-time updates
Future Enhancements:
- Machine learning for improved predictions
- Social features for scout collaboration
- Advanced filtering and search capabilities
- Custom notification system for prospect updates
Development Process:
- Initial concept and wireframing
- Data model design
- UI implementation
- Theme system development
- Animation and interaction design
- Testing and refinement
The app represents a modern approach to baseball prospect analysis, combining traditional scouting metrics with advanced analytics in an accessible, user-friendly interface. It's designed to serve both professional scouts and baseball enthusiasts who want to track the next generation of MLB talent.
