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🌊 Chug the Ocean

🌊 Chug the Ocean

A Roblox experience owned by 2FAT Games.

SimulatorENpet rescueclickerupgrade tree

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

😱 OH NO! Your pet fish fell into the ocean! Chug the ocean to get it back! 😼 🥤 Drink from the ocean 🚽 Flush the toilet for coins 🌳 Get upgrades in your Upgrade Tree 🌊 Go deeper 🐟 Find your pet fish! 🎮 Experience it on PC, mobile, tablet, or console, with full controller compatibility!

Last updated by the developer 8 Aug 2026, 21:59 UTC.

2
playing (measured 11 Aug 2026, 06:05 UTC)
115,813
lifetime visits
91%
liked (374 👍 / 37 👎)
8,430
favourites (72.8 per 1k visits)
13 July 2026
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 We do not publish numbers we have not measured.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
11 Aug 2026, 06:055first reading

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

Monetization — game passes

Infinite Range
499 R$
Double Capacity
499 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

Splish Splash · other63,836
First Flush · other63,124
Shark Attack · other43,745
Shipwreck · other13,711
Deep Down · progression10,057
Ancient Ruins · other6,047
Treasure Hunter · collection6,045
Flaming Depths · other5,725
The Abyss · other4,739
Getting Started · welcome4,692
Bathroom Break · other4,479
Found the Fish · collection3,777
Peak Potential · other2,797
Into the Depths · progression1,160
Shark Bait · other1,123

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.