Case Overview
The case follows a tiered probability model where lower-rarity outcomes typically account for the majority of results, while higher-rarity assets appear with reduced frequency. This creates a standard distribution curve suitable for analyzing pool depth, rarity segmentation, and value allocation across the full item set.
Value and Risk Factors
Expected value is driven by rarity weighting, liquidity, and demand stability across included assets. Concentration of value in limited high-tier outcomes increases variance and outcome dispersion. Broader mid-tier representation can improve distribution balance. Key factors include outcome concentration, secondary-market activity, item turnover, and long-term demand persistence.