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The Banana Peel Maze

The Banana Peel Maze

A Roblox experience owned by realistic bart studios.

AdventureENescapemazehorror

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

This game was heavily inspired by cheese escape and escape running head! 🚨CHAPTER 2 OUT NOW! Can you escape banana INC?🚨 You are lost somewhere in robloxia, your car broke down as you were driving to grandmas house. The only way out is through a hedge maze, that is completley LITTERED with banana peels. Using only a weak flash light and your determination, Can you uncover the secrets the maze beholds? Find the way out... or else... CREDITS: DavizinhoOrsiGame - Builder - Modeler Mixinmixindud2 - Owner ⚠️THIS GAME HAS LOUD SOUNDS!!!!⚠️ 🍌Like the game for CHAPTER 3!🍌 ✏️JOIN NUMEROUS GAMES FOR NO APPARENT REASON!! lol✏️

Last updated by the developer 28 Mar 2026, 14:15 UTC.

0
playing (measured 17 Aug 2026, 14:15 UTC)
215
lifetime visits
100%
liked (4 👍 / 0 👎)
1
favourites (4.7 per 1k visits)
7 November 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 We do not publish numbers we have not measured.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
17 Aug 2026, 14:150first reading

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

Monetization — game passes

donation
100 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

Escape Chapter 1 · progression24 · 0.00% win
Escape chapter 2! · progression15 · 0.00% win
placeholder?! no way!!!! · other0 · 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.