![[🚽NEW] Hungry Head Morphs](https://tr.rbxcdn.com/180DAY-26e28174007ae2b9e05bb9c3b64932fa/256/256/Image/Png/noFilter)
[🚽NEW] Hungry Head Morphs
A Roblox experience owned by WOJAN STUDIO.
SimulatorENmorphsevolutionsurvival
Hungry Head Morphs is a simulator experience created on 2023-04-24. The game has accumulated 6,578,498 lifetime visits and 7,602 favorites. It currently holds an 87% like percentage. Zero players are active at this time. The description indicates mechanics involving morphs, growth, and survival.
Description (written by the developer; not a statement by this register)
Find MORPHS and transform into them! 🔍 Grow and survive! 🌱 Eat smaller and weaker enemies! 😨 Collect Morphs on the map to unlock free skins! 🔓 Press SPACE or click on the Speed Boost icon to move faster! 🚀 +20% growth for Premium Members ❤️ Follow @W0JAN and @pazdanmichal2 ❤️ Tags (ignore): garten of banban rainbow friends morphs amongus smiler baldi ben blue boxy boo capybara doge doors floppa green huggy wuggy jester jumbo josh morphs nabnab nab nab red garten of banban screech shrek trex wednesday zolphius garten of banban run eat block rainbow friends morphs backrooms morphs floppa
Last updated by the developer 3 Sept 2025, 07:58 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 We do not publish numbers we have not measured.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, 14:16 | 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.