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[READ DESCRIPTION] Mushroom Collecting Simulator🍄

[READ DESCRIPTION] Mushroom Collecting Simulator🍄

A Roblox experience owned by WashWay.

SimulatorENsimulatorcollectingmushrooms

Mushroom Collecting Simulator🍄 is a simulator experience created on 2021-10-02. The game has accumulated 2,414,950 lifetime visits and 11,742 favorites. It holds an 88% like percentage. Currently, zero users are playing. The description indicates a relocation to a new game ID.

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

🚀 We've relocated to our new home! 🏡 Join the harvesting adventure at: https://www.roblox.com/games/10132544054/Mushroom-Harvesting-Simulator

Last updated by the developer 23 Dec 2023, 05:20 UTC.

0
playing (measured 10 Aug 2026, 15:15 UTC)
2,414,950
lifetime visits
88%
liked (5,163 👍 / 678 👎)
11,742
favourites (4.9 per 1k visits)
2 October 2021
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 We do not publish numbers we have not measured.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, 15:150first reading

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

Monetization — game passes

[Pre-Order]
999 R$
[Pre-Order]
549 R$
[Pre-Order]
249 R$
[Pre-Order]
110 R$
[Pre-Order]
99 R$
[Pre-Order]
95 R$
[Pre-Order]
80 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

You Played 🏨 · welcome1,249,079 · 0.00% win
Welcome! 🍄 · welcome337,687 · 0.00% win
Meet The Developers! · other16,709 · 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.