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Element Mashers [Alpha]

Element Mashers [Alpha]

A Roblox experience owned by Amazing Nation.

Sandbox & buildingENelement mixingsandboxprogression

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

This game is pretty much abandoned now, sorry. This game will be updated occasionally but it may sometimes be abandoned for a few weeks/ months. Most Recent Update: Added cloud and steam Progression Unlocks (Elements unlocked after progressing a certain amount through the game.) This is a game we have recently been developing where you have to mix elements together in order to discover new elements. It is inspired by a game known as doodle god. Data does not save. Current amount of free elements: 25 Planned Updates (No particular order): *Save Data * More Elements *Seperate place to battle with certain unlocked elements (Will be added after save feature) *UI Features

Last updated by the developer 24 Oct 2022, 01:03 UTC.

0
playing (measured 31 Aug 2026, 06:00 UTC)
2,336
lifetime visits
78%
liked (25 👍 / 7 👎)
54
favourites (23.1 per 1k visits)
10 November 2018
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 We do not publish numbers we have not measured.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
31 Aug 2026, 06:000first reading

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

Monetization — game passes

Void
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

Alpha Tester · other1,303 · 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.