Case Overview
The structure can be evaluated by separating higher-frequency items from lower-frequency tiers and measuring how much of the pool's aggregate market value is concentrated at each level. A broader distribution of marketable items generally produces a different statistical profile from a pool whose value depends heavily on a narrow rare segment. Item liquidity, trading depth, and consistency of demand are therefore relevant indicators of pool quality and market positioning.
Value and Risk Factors
EV represents the combined probability-weighted value of all possible items, but it should be interpreted together with median outcome and variance. When rare items account for a large share of total theoretical value, realized outcomes can be more dispersed and the average may be less representative of a typical result. Secondary-market repricing, condition differences, supply shifts, buyer activity, and liquidity can all change realized value over time. Stable demand across several tiers generally reduces dependence on isolated high-value entries.