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Fit Through Walls for Brainrots

Fit Through Walls for Brainrots

A Roblox experience owned by REVERDE.

ObbyENbrainrotobstaclecollection

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

Welcome to Hole In Wall for Brainrots! Use Code: RELEASE Next Code at 500 Likes! Fit through the moving walls while collecting as many Brainrots as you can. Stay alert, build your speed, and hunt for the rarest mutations! How to play: Squeeze through the holes in the walls so you don't get crushed! 🏃 Build your Speed so you can go farther and find better Brainrots! ⚡ Equip Brainrots in your slots to earn Cash! 💵 Buy more slots and Rebirth to get insane money boosts! ♻️ Watch the weather to catch rare mutations: GOLD, DIAMOND, EMERALD, and BLOOD! 🩸 👍 Support the game by liking and favoriting — and join the group for bonus rewards!

Last updated by the developer 15 Jun 2026, 13:05 UTC.

0
playing (measured 10 Aug 2026, 15:52 UTC)
17,270
lifetime visits
84%
liked (61 👍 / 12 👎)
867
favourites (50.2 per 1k visits)
1 February 2026
created (per Roblox)

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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 We do not publish numbers we have not measured.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, 15:520first reading

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

Monetization — game passes

2x Money
199 R$
VIP
80 R$
Auto Collect
49 R$
Starter Pack
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 to Hole In Wall for Brainrots · welcome13,296 · 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.