Escape Nezuko Obby! Demon Slayer [SEASON 3]

A Roblox experience owned by sh!ny.

ObbyENDemon SlayerNezukoObby

Escape Nezuko Obby! Demon Slayer [SEASON 3] is an obby experience created on 2023-04-10. It has recorded 592,969 lifetime visits and 2,702 favorites. The game holds a 77% like percentage. Currently, zero users are playing.

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

Escape Nezuko Obby! Demon Slayer [SEASON 3] Can you escape Nezuko in this obby? Favorite and like the game it means a lot! TAGS: Nezuko, tanjiro, demon slayer, obby, escape, fun, mega fun, demon.

Last updated by the developer 11 Sept 2024, 20:50 UTC.

playing (measured 11 Aug 2026, 10:22 UTC)

592,969

lifetime visits

77%

liked (408 👍 / 119 👎)

2,701

favourites (4.6 per 1k visits)

10 April 2023

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 We do not publish numbers we have not measured.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)	Players	Change
11 Aug 2026, 10:22	0	first reading

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

Monetization — game passes

Tommy Gun

159 R$

Flying cloud

110 R$

Swap Potion

99 R$

Magic Carpet

99 R$

Grapple Hook

75 R$

Sword

75 R$

Fusion Coil

69 R$

Rainbow Trail

59 R$

Boombox

49 R$

Gravity Coil

49 R$

Fried Chicken

39 R$

Bloxy Cola

25 R$

Speed Coil

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

Welcome! · welcome357,797 · 100.0% win

You Completed the Obby! · progression49,926 · 100.0% 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.