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Duck Duck's Halloween Island [UPDATE]
A Roblox experience owned by Duck Duck Studio.
RoleplayENYouTuber collaborationHalloween eventTrick or treating
Description (written by the developer; not a statement by this register)
It's here! Duck Duck's Halloween Island is a game where you can go trick or treating this Hallowen at YouTubers houses, complete missions and more! 24/10 UPDATE: New gamepass added which allows you to drop cash in the server as well as a Selfie Stick and walkspeed boost pass! Loading times have also been significantly reduced and now you can go behind the door in the YouTuber houses! Enjoy! YouTubers involved include SallyGreenGamer, EthanGamerTV, KreekCraft, Fraser2TheMax, INOOBE and so many more! Keep an eye out on their channels for a video of them playing this game and listen out for them when you ring their doorbell! If you want to get yourself exclusive access into the YouTubers Houses, then you can buy the pass available in the Store tab! Price raises after 25th October so get it now while you can! This game utilises Roblox's badges feature, meaning that you can earn badges for your profile when you trick or treat at various YouTuber's houses!
Last updated by the developer 11 May 2020, 12:20 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 11 Aug 2026, 16:07 | 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.