Medieval Case
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Medieval Case

csgo-skins.com
Case Price
$125.00
Total EV
$108.99
EV Ratio
0.872×
Skins in case
59
EV Ratio = Total EV / Case Price. A ratio of 0.872× means that statistically, each case opening returns 87.2% of the case cost. Results are random - individual outcomes will vary from statistical estimates.

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

Skins in Medieval Case (24)

csgo-skins.com★ Bloodhound Gloves | Charred

★ Bloodhound Gloves | Charred

csgo-skins.com★ Ursus Knife | Blue Steel

★ Ursus Knife | Blue Steel

csgo-skins.com★ Driver Gloves | Diamondback

★ Driver Gloves | Diamondback

csgo-skins.com★ Hand Wraps | Leather

★ Hand Wraps | Leather

csgo-skins.com★ M9 Bayonet | Gamma Doppler Phase 2

★ M9 Bayonet | Gamma Doppler Phase 2

csgo-skins.com★ Huntsman Knife | Doppler Black Pearl

★ Huntsman Knife | Doppler Black Pearl

csgo-skins.com★ Karambit | Marble Fade

★ Karambit | Marble Fade

csgo-skins.comM4A1-S | Knight

M4A1-S | Knight

About this case

Where Is This Case Available?

The Medieval Case case is available on csgo-skins.com. It contains 59 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 contains a diversified selection of weapon finishes distributed across common, restricted, classified, and premium rarity segments. Most outcomes are concentrated within lower and mid-tier categories, while a smaller proportion belongs to less frequently obtained items. The thematic consistency of the included skins gives the case a distinct market position, attracting interest from users who prioritize visual coherence alongside statistical assessment. Market relevance is influenced by the liquidity of included items and the stability of secondary-market demand.

Value and Risk Factors

Expected value depends on the balance between frequently distributed items and the limited number of higher-value outcomes. Variance is primarily driven by rarity allocation, meaning short-term results may differ significantly from long-term averages. Analytical assessment should consider item pool depth, historical demand patterns, and the concentration of value among top-tier entries. Cases with a large percentage of value concentrated in a few rare outcomes generally exhibit higher dispersion. Demand stability, collection relevance, and trading activity can also influence the realized value profile over time.