The MongolZ Case
 We check the relevance every 3 hours

The MongolZ Case

csgo-skins.com
Case Price
$10.70
Total EV
$9.27
EV Ratio
0.866×
Skins in case
91
EV Ratio = Total EV / Case Price. A ratio of 0.866× means that statistically, each case opening returns 86.6% of the case cost. Results are random - individual outcomes will vary from statistical estimates.

Simulate openings

Roll The MongolZ Case against its real drop rates and watch the math play out.

Skins in The MongolZ Case (24)

csgo-skins.comM4A4 | Daybreak

M4A4 | Daybreak

csgo-skins.com★ M9 Bayonet | Lore

★ M9 Bayonet | Lore

csgo-skins.com★ Sport Gloves | Arid

★ Sport Gloves | Arid

csgo-skins.comAWP | Dragon Lore

AWP | Dragon Lore

About this case

Where Is This Case Available?

The The MongolZ Case case is available on csgo-skins.com. It contains 91 skins with published drop rate statistics. The Expected Value and drop rate data below reflect current statistical data for this specific case listing on csgo-skins.com.

Case Overview

The case includes a selection of skins distributed across multiple rarity levels, creating a hierarchy of outcomes with varying market positions. The pool combines more frequently available items with a smaller set of higher-tier entries, resulting in a measurable distribution pattern. Its market placement is influenced by the diversity of included skins, the concentration of value within the pool, and the representation of items that maintain consistent demand. Analytical assessment generally examines outcome frequency, rarity balance, and the breadth of value across the collection.

Value and Risk Factors

Expected value is determined by the interaction between rarity probabilities and the market performance of included skins. A pool where a limited number of rare outcomes account for a substantial portion of theoretical value typically produces higher variance. More evenly distributed value structures can improve consistency while reducing concentration effects. Additional variables include liquidity, demand stability, rarity weighting, and the percentage of outcomes that remain relevant within the secondary market. Comprehensive evaluation should prioritize distribution quality, statistical variance, and demand sustainability across the entire item pool.