Roblox RegisterIndependent record of Roblox groups · not affiliated with Roblox Corporation
Bimbi Y2k Glam Doll Outfits

Bimbi Y2k Glam Doll Outfits

A Roblox experience owned by meetme.

Fighting & PvPENY2K FashionAvatar CustomizationGlam Doll

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

💸 Free private servers for a smoother experience! 🎀 Welcome to Glam Doll Outfit Ideas! 💖 Discover cute, glamorous, pink, Y2K and McBling-inspired outfits. 🛍 Customize your avatar, try on different looks and save your favorite outfits to Roblox. 🛒 All items purchased in-game will appear in your Roblox inventory and can be used in other experiences. ✨ New outfit inspiration and avatar combinations are added regularly. ⭐ Most outfits are inspired by public fashion trends and community-created styles. ❗ We do not own every clothing item or accessory featured in this experience. Most UGC items were created by talented Roblox creators, and full credit belongs to them. If you are a creator and would like your clothing or accessory removed from the game, please send us a message on Roblox. It will be removed as soon as possible. Tags: Glam Doll, Dollcore, Pink Doll, Y2K, McBling, Glam Girl, It Girl, Barbiecore, Pink Aesthetic, Girly Outfits, Cute Outfits, Doll Outfits, Fashion Outfit

Last updated by the developer 12 Jul 2026, 21:22 UTC.

0
playing (measured 10 Aug 2026, 18:48 UTC)
878
lifetime visits
83%
liked (5 👍 / 1 👎)
19
favourites (21.6 per 1k visits)
11 July 2026
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 We do not publish numbers we have not measured.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
10 Aug 2026, 18:480first reading

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

Badge funnel

Welcome! · welcome786 · 100.0% 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.