The Complex [Found Footage]
A Roblox experience owned by Redition Productions.
HorrorENBackroomsFound FootageHorror Exploration
Description (written by the developer; not a statement by this register)
⚠️ This game is in EARLY ACCESS, anything you see in the current version is subject to change and bugs are to be expected. 📸 Graphics 5+ are recommended for the best quality. 📋 The successor of "Liminality: The Complex" created by Thaumiel Studio. ✏️ Welcome to "The Complex: Found Footage" a game related to the Backrooms having many levels and areas to explore through with a special entity that should be avoided at all times. Will you embark the journey that awaits you in this liminal madness? ✏️ Remember.. ✏️ God save you if you hear something wandering around.. Because it sure has heard you.. Tags: Backrooms, Backroom, Camera, Found Footage, The Complex, Level 188, Level, Levels, Windows, Window, The End, Level 0, The Lobby, Exploration, Explore, Game, Poolrooms, Pool, Rooms, Water, Thalassophobia, Ocean, Sea, Slide, Slides, Sliderooms, A-SYNC, Cave, Systems, Cave Systems, Dark Poolrooms, Blue Poolrooms, Dark Pool Rooms, Pitfalls, Neighbourhood, House, Pixels
Last updated by the developer 26 Jan 2025, 18:12 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 20 Aug 2026, 18:16 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.