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[🕸️NEW] Grunge Male & Female R6 Outfits

[🕸️NEW] Grunge Male & Female R6 Outfits

A Roblox experience owned by angelvamp.

RoleplayENavatar customizationaesthetic fashionR6 style

Description (written by the developer; not a statement by this register)

🕸️ Enjoy looking through our high quality R6 outfits, alone or with friends! 🕸️ Join group: https://www.roblox.com/communities/33796977/angelvamp#!/about 🕸️ Purchased items will appear in your inventory right away, with an ability to save outfits directly to Roblox! 🕸️ More outfits released EVERY DAY -~-~-~-~- tags - Clothing, Trends, Social, Friends, Creativity, Outfit Store , Outfit Ideas , Hair Combo , Outfit Loader , Fits , Matching Fits , Hair style, Home store , Try on , Hair , Outfit Shop Hair Combos , Mall , Avatars , Hair Combo Shop , Aesthetic , Da Hood, DH, Steal Outfits , R6 , Avatar customization, Clothing, Trends, Social, Outfit ideas shop, Cybery2k, DollhouseRP, Emo, Dollhouse roleplay, Gothic dahood, dahoodoutfits, Headless, Headless fits, R6 avatars, R6 outfits, Outfits, Avatars, r6 outfit ideas, boy r6 avatars, boy r6 outfits, r6 avatars, r6 game

Last updated by the developer 6 Jan 2025, 00:56 UTC.

0
playing (measured 10 Aug 2026, 17:20 UTC)
8,505
lifetime visits
87%
liked (40 👍 / 6 👎)
172
favourites (20.2 per 1k visits)
28 November 2024
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
10 Aug 2026, 17:200first reading

Concurrent players at each of our measurements (insert-on-change).

Badge funnel

Welcome! · welcome6,650 · 100.0% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.