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DOORS FANGAME RNG

DOORS FANGAME RNG

A Roblox experience owned by Dotzic Studios.

SimulatorENDOORS fangameRNG mechanicsentity collection

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

🍀 DOORS FANGAME RNG 🎲 Roll Entities from DOORS fangames, craft boosts, get and discover new auras! 🚪 Join the group for Auto Roll! ⚠️ PLEASE Report bugs or issues, or pitch suggestions in our community server.

Last updated by the developer 3 Jun 2026, 10:02 UTC.

0
playing (measured 12 Aug 2026, 23:03 UTC)
900
lifetime visits
90%
liked (9 👍 / 1 👎)
17
favourites (18.9 per 1k visits)
10 April 2026
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 We do not publish numbers we have not measured.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
12 Aug 2026, 23:030first reading

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

Monetization — game passes

DOORS RNG COLLAB | Rift
300 R$
2x Luck
49 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 · welcome215 · 100.0% win
First Few Fortunes · welcome104 · 0.00% win
Golden Dice · other50 · 0.00% win
[ MUCH THANKS ] · other25 · 0.00% win
Group Member · social24 · 0.00% win
Spinception · collection16 · 0.00% win
Daybreaker · progression14 · 0.00% win
JACKPOT! · other11 · 0.00% win
Missioneer · progression7 · 0.00% win
Apex Roller · other2 · 0.00% win
Rolling Legend · other2 · 0.00% win
100 THOUSAND. · progression2 · 0.00% win
The Craziest Roller · other1 · 0.00% win
the room · 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.