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[CHAPTER 2] Escape Evil Toilet

[CHAPTER 2] Escape Evil Toilet

A Roblox experience owned by FutureCraft Games.

HorrorENhorrorchaseescape

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

You blasted the toilet… and now it’s back for revenge. The pipes are rumbling, the floor is shaking, and the Evil Toilet is here. This time, it is not going down without a fight. Collect all the papers and find the escape door before it is too late. Chapter 2 is here! Like the game and join the group to support us. Report any bugs in our community server, group, or through in game feedback. Join the group here: https://www.roblox.com/communities/1028486386/FutureCraft-Games#!/about Good luck! Toilet, Escape, Evil, Run, Scary, Monster, Chase, Horror, Survival

Last updated by the developer 4 May 2026, 15:28 UTC.

0
playing (measured 24 Aug 2026, 00:32 UTC)
4,933
lifetime visits
67%
liked (18 👍 / 9 👎)
2,226
favourites (451.2 per 1k visits)
11 October 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 We do not publish numbers we have not measured.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
24 Aug 2026, 00:320first reading

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

Monetization — game passes

Flying Cloud
49 R$
Speed Coil
24 R$
Grapple Hook
9 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 · welcome1,538 · 0.00% win
Chapter 2 · progression213 · 0.00% win
Escaped · progression155 · 0.00% win
Duck · secret78 · 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.