Scorestars
Digital Basketball Fantasy x Collectible Card Platform
Designed the card rarity system, pack economy, and competitive fantasy sports reward structure — merging collectible mechanics with real-world basketball performance data.
- ✓Designed the card rarity and drop rate structure
- ✓Balanced pack pricing vs. expected value curves
- ✓Created the merging/upgrade logic for duplicate cards
- ✓Structured challenge rewards tied to real-world player performance
- ✓Designed long-term retention loops around collection completion
- ✓Built economy simulations to model card supply inflation
Pack Opening Economy
Defined rarity tiers, distribution probability, and psychological reward pacing similar to top-performing mobile collectible games.
Real-World Stat Integration
Balanced fantasy scoring so real-life performance translated into meaningful but controlled in-game impact, avoiding extreme volatility.
Competitive Challenge Design
Structured daily/weekly tournaments where lineup optimization, not just card ownership, drives success.
Card Upgrade & Duplicate Sink
Designed merging mechanics to convert surplus cards into progression, preventing market stagnation. League partnerships like Basketball Champions League translated into in-game exclusivity.
- PROBLEMEngagement vs ownership balanceSOLUTIONFantasy sports can become spreadsheet-heavy. Collectibles can become purely RNG-driven. Merged both so collection feeds strategy, and strategy feeds competition.
- PROBLEMScarcity vs accessibilitySOLUTIONToo many cards floods the market. Too few makes collection frustrating. Modeled long-term card supply to prevent inflation and dead collections.
- PROBLEMReal-time data volatilitySOLUTIONLive performance swings can break balance. Designed scoring bands and caps to smooth extreme performances while preserving excitement.
- ▲Strengthened retention through hybrid fantasy-collectible loop
- ▲Increased monetization stability via pack value modeling
- ▲Reduced duplicate frustration through structured merge sinks
- ▲Improved competitive fairness through lineup optimization weighting