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Fallen RNG [UPDATE 3.0 ALPHA!]

Fallen RNG [UPDATE 3.0 ALPHA!]

A Roblox experience owned by [LS] Project Fallen RNG!.

SimulatorENUndertale fan gameAura collectionRNG mechanics

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

Community Server! (.gg/fallenrng - Join) * Welcome to Fallen RNG! You’re just another fallen human, banished into the mountain! Roll and pass your way through the underground, competing against other humans to become the best! * Currently 35+ Auras!! * Updates until Full Release! * Cheap Quick Roll! Disclaimer: This project is in no way associated with Toby Fox, The Undertale Team, or any other officials, and is a completely fan made studio project!!!

Last updated by the developer 18 Apr 2025, 02:59 UTC.

0
playing (measured 11 Aug 2026, 16:54 UTC)
8,735
lifetime visits
79%
liked (73 👍 / 19 👎)
71
favourites (8.1 per 1k visits)
28 May 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 We do not publish numbers we have not measured.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
11 Aug 2026, 16:540first reading

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

Monetization — game passes

God donation
10,000 R$
Payment 2
8,820 R$
Huge Donation
800 R$
Generous Donation
100 R$
Quick Roll
40 R$
Small Donation
20 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

Meet the Owner! · other30 · 0.00% win
Alpha Experimenter! · progression0 · 0.00% win
Fallen Supporter · 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.