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Monster

Monster

A Roblox experience owned by [CC] Sinister Society.

ShooterENFPSPvPvEPermanent Death

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

During the 7 Hour War, a horrifying alien nation called the "The Universal Union" annihilated billions of human lives. Will you take up arms to protect your people? Or will you assimilate into the stars, giving away your humanity to the Combine? Whatever that decision may be, first you'll need to get out of the maximum security prisons of Nova Prospekt or leave the harsh roads of City 17. Monster is a Murder Mystery PvPvE FPS shooter that is extremely cruel. Rogues and Spies exist in the Overwatch to balance their overwhelming power. These players will be free to randomly kill 1 Combine in lore with 0 consequence once a day. [ WARNING, THIS IS A PERMANENT DEATH GAME! IF DATA RESTORE IS IMPOSSIBLE, YOU WILL LOSE YOUR CHARACTER AND 100%,(send proof of level for 75%) OF CARD PROGRESS ON DEATH! ] CONTROLS: M1 - Fire M2 - Aim T - Optic Zoom Q/E - Lean Left and Right V - Fire Mode / Underbarrel M - Check Magazine P - Menu

Last updated by the developer 17 Sept 2024, 00:39 UTC.

0
playing (measured 15 Aug 2026, 05:06 UTC)
2,078
lifetime visits
100%
liked (7 👍 / 0 👎)
12
favourites (5.8 per 1k visits)
27 February 2024
created (per Roblox)

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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 We do not publish numbers we have not measured.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
15 Aug 2026, 05:060first reading

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

Badge funnel

The Dealer · collection0 · 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.