Case Overview
The case uses a multi-tier pool model in which common outcomes form the largest share, while lower-frequency assets occupy narrower probability bands. This creates a structured distribution across standard, mid-tier, and premium categories. Its positioning depends on pool depth, item diversity, and the balance of value across the full set of outcomes.
Value and Risk Factors
Expected return is shaped by rarity weighting, liquidity, and secondary-market demand. When value is concentrated in limited high-tier outcomes, variance increases and results become less predictable across samples. Broader mid-tier representation can support more stable statistical behavior. Key factors include outcome concentration, demand durability, item turnover, and the proportion of assets maintaining consistent market relevance.