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Mystery Chest Simulator

Mystery Chest Simulator

A Roblox experience owned by Dev Simulators.

Mystery Chest Simulator is a Roblox experience created on February 14, 2024. The game has accumulated 1,288,254 lifetime visits and 8,698 favorites. Currently, zero players are active. The title holds a 94% like percentage. No specific genre classification is recorded in the available data.

Last updated by the developer 11 Jun 2026, 02:11 UTC.

0
playing (measured 10 Aug 2026, 14:20 UTC)
1,288,254
lifetime visits
94%
liked (10,762 👍 / 655 👎)
8,696
favourites (6.8 per 1k visits)
14 February 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 We do not publish numbers we have not measured.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
10 Aug 2026, 14:200first reading

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

Monetization — game passes

Huge Hunter
1,499 R$
Magic Eggs
799 R$
Super Egg Luck
799 R$
Advanced Auto Attack
599 R$
+3 Pets Equipped
599 R$
Super Magnet
499 R$
+5 Egg Open
399 R$
Double Damage
399 R$
+250 Storage
399 R$
VIP
399 R$
Egg Luck
299 R$
Double Coins
299 R$
Double Gems
299 R$
Fast Hatch
199 R$
Turbo Spin
99 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 · welcome614,874 · 0.00% win
Play A Obby · welcome189,039 · 0.00% win
Welcome Back · welcome170,705 · 0.00% win
Play With A Friend · social118,772 · 0.00% win
Play The Tower Mode · other114,132 · 0.00% win
World 1 · progression29,934 · 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.