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Murderous Acts

Murderous Acts

A Roblox experience owned by X4G.

HorrorENhorrorasymmetric multiplayersurvival

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

(This game has just been released, so please expect bugs or some form of game breaking issues.) In this experience you can take on the role of playing as a partially blind but deadly monster, capable of echo location. Or play as one of the victims and try to survive till dawn. If worse comes to worst. Leave your friends for dead. This game is about survival. Not teamwork. Also check out our other game - https://www.roblox.com/games/17069053902/ALPHA-Confined-Floors Keybinds - (F) - Flashlight, (R) - Radio, (H) - Echo location Inspirations - ("Before The Dawn", And "In Silence")

Last updated by the developer 9 Aug 2026, 13:13 UTC.

0
playing (measured 11 Aug 2026, 02:30 UTC)
2,094
lifetime visits
95%
liked (41 👍 / 2 👎)
123
favourites (58.7 per 1k visits)
18 May 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 We do not publish numbers we have not measured.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, 02:300first reading

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

Monetization — game passes

Donations
25 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

An unforgiving end! · other421 · 0.00% win
Woooooo! · other404 · 0.00% win
Welcome to Glass Houses! · welcome0 · 0.00% win
Welcome to Raven Rock! · welcome0 · 0.00% win
Welcome · welcome0 · 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.