Aleksib's Case
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Aleksib's Case

csgo-skins.com
Case Price
$10.00
Total EV
$8.66
EV Ratio
0.866×
Skins in case
109
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 Aleksib's Case against its real drop rates and watch the math play out.

Skins in Aleksib's Case (32)

csgo-skins.comUMP-45 | Blaze

UMP-45 | Blaze

csgo-skins.comMusic Kit | The Verkkars, EZ4ENCE

Music Kit | The Verkkars, EZ4ENCE

csgo-skins.comCZ75-Auto | Emerald

CZ75-Auto | Emerald

csgo-skins.comMAC-10 | Fade

MAC-10 | Fade

csgo-skins.comSCAR-20 | Emerald

SCAR-20 | Emerald

csgo-skins.comDesert Eagle | Blaze

Desert Eagle | Blaze

csgo-skins.com★ Butterfly Knife | Fade

★ Butterfly Knife | Fade

csgo-skins.comGalil AR | Chatterbox

Galil AR | Chatterbox

csgo-skins.com★ Moto Gloves | Spearmint

★ Moto Gloves | Spearmint

About this case

Where Is This Case Available?

The Aleksib's Case case is available on csgo-skins.com. It contains 109 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 item pool includes skins distributed across several rarity levels, creating a layered outcome structure that can be examined through probability weighting and value concentration metrics. The collection typically incorporates multiple weapon categories, allowing for broader diversification within the pool. Market positioning is shaped by the quality of included items, the representation of higher-tier outcomes, and the balance maintained across rarity segments. Analytical review generally emphasizes pool depth, outcome frequency, and value distribution throughout the selection.

Value and Risk Factors

Expected value depends on the relationship between rarity probabilities and the market demand associated with included skins. Cases where a substantial portion of theoretical value is concentrated in a small number of rare outcomes generally exhibit higher variance. More evenly distributed pools can reduce variance and provide greater consistency across potential results. Key variables include liquidity, rarity allocation, demand persistence, and the proportion of outcomes retaining long-term market relevance. Objective assessment should prioritize statistical distribution and pool-wide value characteristics rather than individual high-tier entries.