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667'S OUTFIT IDEAS [CLOSED]

667'S OUTFIT IDEAS [CLOSED]

A Roblox experience owned by 667.

RoleplayENavatar customizationfashionoutfit showcase

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

667'S OUTFITS brings to you hundreds of the highest quality outfits and styles on Roblox. https://www.roblox.com/groups/7114240/667#!/ 🛒: 📌 R6 EMO MATCHING AVATARS Buy thousands of hairs, hats, bundles, layered clothing, faces & accessories in immersive ways! Make sure to leave a 👍 Like & ⭐ Favourite to support us to create more outfits for you! Make sure to join the group "667." developed by @667 team other notices; this is ongoing and this is in beta many features are going

Last updated by the developer 18 Feb 2026, 11:29 UTC.

0
playing (measured 11 Aug 2026, 11:31 UTC)
1,366
lifetime visits
87%
liked (13 👍 / 2 👎)
79
favourites (57.8 per 1k visits)
6 April 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 We do not publish numbers we have not measured.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
11 Aug 2026, 11:310first reading

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

Badge funnel

· welcome1,080 · 0.00% win
· other865 · 0.00% win
· other862 · 0.00% win
· other862 · 0.00% win
· other862 · 0.00% win
· other850 · 0.00% win
[1H] This is too long.. · other79 · 0.00% win
MET LUCA [JOSHXSUNNY] · other58 · 0.00% win
[15M] Why you playing this so much? · other18 · 0.00% win
YOU PLAYED FOR 5 MINUTES [5!?] · other7 · 0.00% win
· other0 · 0.00% win
· other0 · 0.00% win
· other0 · 0.00% win
· other0 · 0.00% win
· other0 · 0.00% 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.