![RNG Legends [OG]](https://tr.rbxcdn.com/180DAY-19ad13c27c7f4d230cefd2c583f4ff72/256/256/Image/Png/noFilter)
RNG Legends [OG]
A Roblox experience owned by Very Weird Experiences.
SimulatorENRNG mechanicsRarity collectionSimulator
RNG Legends [OG] is a simulator experience created on November 26, 2023. The game features 28 rarities and 13 enrichments. It has accumulated 2,277,113 lifetime visits and 6,658 favorites. The current like percentage stands at 65 percent. Zero users are playing at this time.
Description (written by the developer; not a statement by this register)
Please remember that this game is still in development; there are many bugs and issues. If you've lost your game pass or encountered any other problems, please join our community server and create a ticket. Current number of rarities in game: 28 Current number of enrichments in game: 13 This game was created by only four people: K41zDev: Animations, Scripts Furaczek: Scripts, GUI [Game Owner] Thomas: Scripts Gzo: Building Also, a huge thanks to everyone who truly enjoys playing our game! <3 TAGS IGNORE: luck, rng, roll, spin, spin the wheel, flex, rarity, simulator, beta
Last updated by the developer 6 Aug 2026, 20:30 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 19:02 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.