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DOORS: The Apartments

DOORS: The Apartments

A Roblox experience owned by THE D&E CHANNEL FANCLUB!.

HorrorENhorrorabandoned buildingtesting

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

A horror game involving… Doors. ⚠️THIS GAME IS STILL IN TESTING! EXPECT THE UNEXPECTED, AND PREPARE TO BE SOFTLOCKED!!⚠️ Welcome to The Apartments. An alternate reality where instead of going to the hotel, you’re visiting you’re old abandoned apartment complex. Something’s wrong. The entire building’s structure has changed. Nothing is the same. It seems almost… endless.

Last updated by the developer 14 Aug 2026, 01:42 UTC.

0
playing (measured 14 Aug 2026, 13:50 UTC)
1,607
lifetime visits
90%
liked (9 👍 / 1 👎)
21
favourites (13.1 per 1k visits)
31 July 2025
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 We do not publish numbers we have not measured.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
14 Aug 2026, 13:500first reading

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

Badge funnel

Shine Bright · other157 · 0.00% win
First Time? · welcome113 · 0.00% win
Itsy Bitsy Spider · secret43 · 0.00% win
Mad Dash · other41 · 0.00% win
An Eye for an Eye · other37 · 0.00% win
Decoy Deploy · other30 · 0.00% win
Ghost Encounter · secret27 · 0.00% win
Tea Party · other26 · 0.00% win
Not My First Time · progression25 · 0.00% win
Friendly Rivalry13 · 0.00% win
Business Opportunity · other12 · 0.00% win
Security Breach · other9 · 0.00% win
Only the Start · welcome8 · 0.00% win
Dreadful Night · progression8 · 0.00% win
Fly-swatted · other8 · 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.