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[⭐️NEW] Girl Outfits Plaza

[⭐️NEW] Girl Outfits Plaza

A Roblox experience owned by YASURO.

Fighting & PvPENfashionavatar customizationtry-on

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

this game showcases assorted outfit ideas with different styles in each shop! the outfits are diverse in style: emo, grunge, igari, soft, harajuku, etc. --> join Kaedru for more outfit games 🤍 likes and favorites are very appreciated 🤍 r6 and r15 🤍 click any outfit to inspect 🤍 all purchases go into your inventory 🤍 join the group for similar clothing important note: we don't own some of the outfits nor UGC in the game. all rights and credits belong to the creators! if you want your UGC or outfit removed please let us know on the group wall! 🤍 exrinct & lacourier - map builders tags: thrift, vintage, gyaru, japanese, r15 outfits, 2000, nana, girls, try on, igari, mori kei, himekaji, try on, homestore, clothing, girly kei, matching avatars, love, roma gyaru, 少女, grunge, tokyo, city, r6, アニメ, evade, catalog, emo, harajuku, fisch, evade, blade ball

Last updated by the developer 14 Mar 2025, 22:45 UTC.

0
playing (measured 13 Aug 2026, 05:04 UTC)
5,701
lifetime visits
72%
liked (13 👍 / 5 👎)
226
favourites (39.6 per 1k visits)
11 January 2025
created (per Roblox)

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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 We do not publish numbers we have not measured.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
13 Aug 2026, 05:040first reading

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

Badge funnel

welcome to the outfit plaza! · welcome4,640 · 0.00% win
you met the creators! · social4 · 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.