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AFFLICTION [HORROR]

AFFLICTION [HORROR]

A Roblox experience owned by Monaral Studios.

HorrorENhorror survivalzombie outbreakjump scares

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

Chapter 2 is under development! Note: all bugs are fixed , now you can play the game without worrying Welcome to AFFLICTION Controls: F - Flashlight G - Unlock mouse C- Crouch [Doesn't work in all chapters] Left Shift or Right Shift - Run ⚠️ warning : this game contains jump scares and flashing lights, realistic blood About : this is a horror survival game about a new disease called affliction and that disease turn people into monsters and serial killers and you have to escape them and survive, find the secret of the disease.

Last updated by the developer 28 Jan 2025, 16:33 UTC.

0
playing (measured 14 Aug 2026, 08:03 UTC)
45,201
lifetime visits
34%
liked (85 👍 / 165 👎)
918
favourites (20.3 per 1k visits)
13 June 2022
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 We do not publish numbers we have not measured.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, 08:030first reading

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

Monetization — game passes

Speed
150 R$
Better Flashlight
50 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 to Hakai! · welcome26,853 · 0.00% win
Chapter 1 · progression2,537 · 0.00% win
Meet The Owner · other122 · 0.00% win
you met the co owner! · social17 · 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.