Trollge Expeditions [ BETA ]
A Roblox experience owned by Bundi's.
AdventureENmysteryrandomizationhorror
Description (written by the developer; not a statement by this register)
How to Play the Game: Wait for a chest to spawn. A chest has spawned! Collect the chest. Drink LE Cup Become ??? Enjoy the game! Controls: Shift – Sprint C – Crouch Left Click – Interact WASD – Move (Why am I even explaining this?) So basically, this game spawns a variety of different types of chests. Each chest can lead to a different outcome. There’s a 1 in 2 chance of getting either an "Oil Cup" or a "Blood Cup," but there are also rarer items you might receive—which I won’t reveal, of course. The same logic applies to the chests: there's a "Dark Chest," a "Light Chest," a regular "Chest," and more. Each one has its own chances, so you never really know what to expect. Now, moving on to the "Trolls"—these are the things you get from using an orb, cup, or item. What you get depends on the item you use, but each item also has a range of potential rewards. If you go to MENU → Other..., you’ll be able to see how rare each type of troll is. But yeah, that’s the general idea.
Last updated by the developer 25 Jul 2025, 19:30 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 17 Aug 2026, 23:15 | 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.