[NEW] Kawaii & Emo fits

A Roblox experience owned by scartopia.

RoleplayENkawaiiemooutfit ideas

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

☆ kawaii & emo outfit ideas ☆ dress up your avatar in cute kawaii and soft emo outfits ♡ try on different clothes and see what you like. ♡ try outfits before buying ☆ buy items you want to keep ♡ mix cute and emo styles Items will instantly go into inventory ☆ Join group for updates ! https://www.roblox.com/share/g/35125891 Map creds: its3_olliex Tags: catalogue, outfits, fits, black, white, pink, girly, kawaii, emo, dark, cute, pastel, goth, fits, clothes, ideas, girl, easy, chill, da hood, pick me, cutecore, alt, grunge, avatar, outfit ideas,

Last updated by the developer 19 Jan 2026, 11:16 UTC.

playing (measured 16 Aug 2026, 15:35 UTC)

317

lifetime visits

57%

liked (4 👍 / 3 👎)

favourites (12.6 per 1k visits)

17 January 2026

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 We do not publish numbers we have not measured.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)	Players	Change
16 Aug 2026, 15:35	0	first reading

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

Monetization — game passes

500,000 Robux

500,000 R$

100,000 Robux

100,000 R$

50,000 Robux

50,000 R$

10,000 Robux

10,000 R$

5,000 Robux

5,000 R$

1,000 Robux

1,000 R$

500 Robux

500 R$

100 Robux

100 R$

50 Robux

50 R$

10 Robux

10 R$

5 Robux

5 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Thanks for joining ! · welcome0 · 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.