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Rooms: Re-Improved

Rooms: Re-Improved

A Roblox experience owned by Studio().

HorrorENhorrormonster survivalrooms clone

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

There are some type of monsters WATCHING. Will you ever escape from the rooms, or will you be stuck for eternity? Annoying creatures are always here... even if you try to escape from it, IT WILL ALWAYS BE HERE. Explore new sections to find more entities. This game is based on mostly Rooms. If you experienced any bugs/glitches, please tell us on our group, Studio(). There are no stolen assets, it is all made by me and the team. If the owner is offline, and the game got updated somehow, that means one of his developers are working on this game. We are trying to make this game better and hire very good people so that the game can be very enjoyable and S C A R Y. Play Rooms by nicorocks5555: https://www.roblox.com/games/5076734934/Rooms (--|| A project made by 75bandu ||--)

Last updated by the developer 18 May 2026, 15:47 UTC.

0
playing (measured 12 Aug 2026, 04:04 UTC)
2,267
lifetime visits
84%
liked (16 👍 / 3 👎)
35
favourites (15.4 per 1k visits)
28 November 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 We do not publish numbers we have not measured.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
12 Aug 2026, 04:040first reading

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

Badge funnel

Welcome · welcome516 · 0.00% win
A-50 · progression107 · 0.00% win
A-100 · other34 · 0.00% win
A-150 · secret14 · 0.00% win
Delta · secret5 · 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.