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[300+] Lavish Y2k Outfits

[300+] Lavish Y2k Outfits

A Roblox experience owned by SimplyLavish.

RoleplayENY2K AestheticAvatar CustomizationUGC Shop

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

🧥 Welcome to Lavish Y2K Outfits! 🕶 ⭐ Experience Lavish, where you'll find the most detailed Y2K outfits on Roblox! 💰 All purchases made in game will go into your inventory! ❤️ Dont forget to show love by leaving a like and favouriting the game! 🌙 Make sure to check out our group for more information and more clothing in the store! DISCLAIMER: We do not own any of the UGC featured within the game. If you want your clothes or UGC removed, please send us a message. tags: Outfit Shop, Outfit Ideas, Outfit Store, Hair Combos, Fits, Try on, Aesthetic, Hair Combo Shop, Hair Combo, Hair, Avatars, Mall, dh, Da Hood, dh style, tt, Detailed Outfits, y2k, y2k outfits, clothing, y2k clothing, Outfit Inspo, Try On Mall, TT Fits, DH Outfits, TT Aesthetic, Avatar Mall, Match Your Fit, Hair & Outfit Ideas, Hair Mall, Slay Fits, Catalog Looks, Green Hair Combos, Pink Hair Combo Shop, Emo Fit Inspo, Fantasy Fit Shop, Detailed Hair Combos, Purple Aesthetic Outfits, Emo Girl Fits

Last updated by the developer 25 Jul 2025, 05:50 UTC.

0
playing (measured 11 Aug 2026, 00:50 UTC)
72,082
lifetime visits
74%
liked (276 👍 / 95 👎)
4,634
favourites (64.3 per 1k visits)
18 October 2024
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 We do not publish numbers we have not measured.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
11 Aug 2026, 00:500first reading

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

Badge funnel

Welcome to Lavish Y2K · welcome47,203 · 0.00% win
First Purchase · other4,758 · 0.00% win
Met the Owner! · social92 · 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.