Case Overview
The Number One case combines lower-value, mid-range, and scarce premium skins. This creates a right-skewed distribution: most outcomes sit in the lower portion of the pool, while a limited group of high-value items forms the upper tail. Item condition can also affect secondary-market valuation. Key analytical inputs include each item's probability, relative market value, liquidity, and the share of total probability assigned to each value tier.
Value and Risk Factors
Expected value is calculated by multiplying each possible item's market value by its drop probability and summing the weighted outcomes. It represents a theoretical long-run average, not the likely result of one opening. Variance can be high when rare items account for a large share of total EV, creating a gap between the median result and the theoretical average. Other factors include market volatility, liquidity, condition-specific demand, pool updates, and probability changes. Stable demand and transparent distribution data improve analytical reliability, while concentrated rarity increases short-run uncertainty.