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DOORS But Smooth

DOORS But Smooth

A Roblox experience owned by Limertubes.

HorrorENhorrorobstaclefan-game

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

Doors But Smooth: smooth and lighter version of doors. Lazer tag: computer: T to unlock mouse and F for flashlight. Backdoors: nothing yet

Last updated by the developer 17 Jul 2026, 12:40 UTC.

0
playing (measured 12 Aug 2026, 05:47 UTC)
23,283
lifetime visits
68%
liked (30 👍 / 14 👎)
50
favourites (2.1 per 1k visits)
20 April 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 We do not publish numbers we have not measured.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, 05:470first reading

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

Monetization — game passes

OP GUN
500 R$
Beguining lantern
100 R$

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

Welcome · welcome12,311 · 0.00% win
Around back · secret6,281 · 0.00% win
Whoever saw it · secret4,793 · 0.00% win
You never had the time · other2,108 · 0.00% win
Error(old) · other2,045 · 0.00% win
How deep does it go? · other753 · 0.00% win
Other way around · other269 · 0.00% win
Look At Me · other79 · 0.00% win
Joined the group · social64 · 0.00% win
Outta ma way · other48 · 0.00% win
You can't see me 🫣 · secret46 · 0.00% win
Wrong room · other43 · 0.00% win
You participated to the tournament · social43 · 0.00% win
Angel · other42 · 0.00% win
That was crunchy · other21 · 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.