Roblox RegisterIndependent record of Roblox groups · not affiliated with Roblox Corporation
Fake a Fish

Fake a Fish

A Roblox experience owned by PROVEIT STUDIOS.

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

🐟 Welcome to Fake a Fish! How to play: 🥚 Buy eggs as they splash down the water slide 🏠 Carry them home and hatch them 🐠 Throw your fish in your aquarium to earn cash 🥸 Disguise as an egg and get bought by other players 😈 Hatch in their aquarium and steal a fish! 🔍 Scan eggs to catch the fakes 🔁 Rebirth for bigger multipliers ✨ Collect rare fish, mutations and weather traits! 💸 YOUR FISH EARN EVEN WHILE YOU'RE OFFLINE! 💸 🎮 Supports Desktop, Mobile and Tablet players

Last updated by the developer 2 Nov 2026, 09:25 UTC.

0
playing (measured 2 Nov 2026, 22:32 UTC)
576
lifetime visits
75%
liked (3 👍 / 1 👎)
4
favourites (6.9 per 1k visits)
27 October 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 We do not publish numbers we have not measured.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
2 Nov 2026, 22:320first reading

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

Monetization — game passes

x2 Hatch
399 R$
x2 Cash
299 R$
x2 Luck
249 R$
ADMIN Bat
199 R$
Scan Jam
129 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 Fake a Fish! · welcome410 · 100.0% win
Fish Keeper · collection318 · 100.0% win
Reborn · progression206 · 100.0% win
Master of Disguise · secret17 · 19.5% win
Sneaky Thief · collection5 · 9.8% 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.