Rare Moschino Jeans Playing Cards Patch Tank Top Black

Rare Moschino Jeans Playing Cards Patch Tank Top Black

Brand: VOODOO WAREHOUSE
201.00 USD Out of stock Buy at Merchant

A playful and highly collectible Moschino Jeans tank top from the early 2000s, showcasing the witty, pop-culture inspired design language that made the label one of the defining voices of Y2K fashion. Crafted from a soft stretch jersey in classic black, this fitted sleeveless top is embellished with oversized embroidered playing card appliqués, each featuring custom Moschino branding for a distinctive trompe-l'œil effect. Jeremy Scott may be synonymous with Moschino today, but long before his arrival, the house founded by Franco Moschino built its reputation on irreverent, humorous fashion that challenged luxury conventions. Throughout the late '90s and early 2000s, Moschino Jeans became known for bold graphics, novelty motifs and playful embellishments, making pieces like this increasingly sought-after by archive collectors. The embroidered card patches add dimensional texture while the clean, body-skimming silhouette keeps the piece versatile enough to pair with low-rise denim, mini skirts or tailored trousers. A subtle woven Moschino side tab finishes the garment with understated branding, while the minimalist black base allows the appliqués to stand out as the focal point. An uncommon archive piece that perfectly captures the fun, ironic spirit of vintage Moschino and the maximalist energy of the Y2K era. Material Composition: Elastane Polyamide Origin: Made in Italy Condition: Rated 8.5/10. Gently used with light signs of wear consistent with age. The fabric remains clean with excellent stretch, and all embroidered playing card appliqués are securely attached. Overall, the top is in excellent vintage condition. Size: M (38 EU) Measurements: Shoulders: 31 cm Chest: 40 cm Length: 53 cm

Specifications
size
M
Variants (1)
  • M — 201.00 USD — Out of stock

How AI sees this product

The more complete this product's details, the more confidently AI assistants can understand and recommend it.

78%