![[NEW!] Outfit Universe](https://tr.rbxcdn.com/180DAY-dc962f592c4ec609eedd41ed65c9a3ae/256/256/Image/Png/noFilter)
[NEW!] Outfit Universe
A Roblox experience owned by Niva Studio.
RoleplayENavatar customizationcatalog browsingfree try-on
Outfit Universe is a roleplay experience created on December 2, 2020. The game has accumulated 1,346,968 lifetime visits and 14,031 favorites. It maintains a 73% like percentage. Currently, zero users are playing. The experience allows players to browse and try on catalog items.
Description (written by the developer; not a statement by this register)
🌌 Welcome to Outfit Universe, discover millions of unique outfits of other players, browse through the catalog and CREATE your perfect AVATAR! This game allows you to try on/buy many catalog items for free and purchase if you will.🌌 🛍️ Browse hair combos, accessories, clothing, and more! 🎁 Try on any Catalog item before having to purchase it! 🥻 Dress for every occasion! (Christmas ❄️) 🪐 Any purchases made in-game will stay in your inventory! 🎉Free VIP servers for maximum privacy! ✅ All purchases made in-game will be available in your Roblox inventory & can be used in all games. 👍 Like, Favorite, and share the game with friends! 🎖️Follow the Creators: 🎨 Designed by https://www.roblox.com/users/1152989385 👨💻 Programmed by https://www.roblox.com/users/334664917
Last updated by the developer 4 Jan 2026, 11:00 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 — 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 11 Aug 2026, 00:48 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.