![[π] Matching Outfits](https://tr.rbxcdn.com/180DAY-457107250467e6dc096f858c094f36cd/256/256/Image/Png/noFilter)
[π] Matching Outfits
A Roblox experience owned by Trend District.
RoleplayENAvatar CustomizationFashion/StyleUGC/Catalog
[π] Matching Outfits is a roleplay experience created on 2025-03-04. The game features over 200 outfits inspired by public styles. It has accumulated 949,287 lifetime visits and 9,742 favorites. The current like percentage stands at 80. No players are currently active.
Description (written by the developer; not a statement by this register)
ππ§ΈWelcome to [π] Matching Outfits β‘ Over 200+ outfits to choose from β‘ Popular styles from Scene, Emo, Dahood, Cutecore + more β‘ Map expansion, new outfits and seasonal updates coming soon... πAny Purchases Made In-Game Will Be Added To Your Inventory. π·π¦’ All outfits inspired by the public, if you see your outfit, ugc or clothes and want them removed please message me and it will be removed asap ββ·ο½‘ ｑ ｑ Join my group for cute clothes, ugc and more outfit games! https://www.roblox.com/communities/35704388/Trend-District#!/about π·οΈ Tags: Catalog Avatar Creator, Catalog, Outfits, Avatar Outfits, Skin idea, Avatar idea, outfits idea, Matching Outfits , Outfit Store , Outfit Ideas , Anime Outfits , Hair Combo , Catalog , Outfit Loader , Fits , Matching Fits , Matching Outfits , Try on , Headless Outfits , Matching, Baddie , Rogangster, Emo , Preppy , Cybercore , Anime , Horror, Chibi , Fall , Halloween Fits
Last updated by the developer 8 Jan 2026, 03:58 UTC.
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 β so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 21:22 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Badge funnel
How many players have ever earned each badge β 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 badgeβs own name and description.