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Halloween 2016 -DISCLAIMER IN DESC-

Halloween 2016 -DISCLAIMER IN DESC-

A Roblox experience owned by Cosmic Nerds.

AdventureENfantasyadventurehalloween

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

DISCLAIMER: This has not been worked on since last year during Halloween and new bugs are likely to arise. Due to some demand we have made it active again this year but have not prioritised updating it as we have other things in the works. We are working on quickly ironing out these little bugs so we can keep it up this Halloween but no further work will go into this. Welcome to an adventure presented to you by Cosmic Nerds. King Thornheart is threatening the world of ROBLOXia - oh, and Halloween alike. So hurry, save the world! Make sure to follow us on twitter @CosmicNerds for news and updates!

Last updated by the developer 21 Oct 2017, 19:21 UTC.

0
playing (measured 12 Aug 2026, 15:36 UTC)
29,044
lifetime visits
84%
liked (602 👍 / 111 👎)
2,107
favourites (72.5 per 1k visits)
11 October 2016
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 We do not publish numbers we have not measured.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, 15:360first reading

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

Badge funnel

Welcome to Halloween 2016 · welcome8,136 · 0.00% win
Death's Gem · collection613 · 0.00% win
Darkness Gem434 · 0.00% win
Poison Gem · collection387 · 0.00% win
Quick Carrier · other246 · 0.00% win
True Trick or Treater · collection56 · 0.00% win
Hellfire Gem · collection34 · 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.