![Nyctophobia [⚠ Early Access]](https://tr.rbxcdn.com/180DAY-fc860ac77b53d2fa6782de8f6e520c78/256/256/Image/Png/noFilter)
Nyctophobia [⚠ Early Access]
A Roblox experience owned by Fiddlestick Studios.
HorrorENhorrordeceptionparkour
Description (written by the developer; not a statement by this register)
🌙 NYCTOPHOBIA — Fear the darkness. Trust no one. INTENSE DECEPTION GAMEPLAY 💀 Hunt down the impostor before they eliminate everyone. Fast-paced rounds with mysterious CORES at the center of our evolving lore... 🔥 FEATURES: Advanced parkour system with rolling, sliding & wall climbing Atmospheric horror elements & psychological tension Deep lore mysteries waiting to be uncovered Smooth movement mechanics for epic chases ⚡ CONTROLS: Q - Roll (directional with WASD) C - Slide Shift - Sprint W + Jump - Wall Climb (select surfaces) B - Inventory (AFK & Emotes available) 🖥️ PC ONLY (Mobile coming later!) 🎧 Best Experience: Headphones + High Graphics 🔮 Want to uncover the truth behind the CORES? Join our Discord for exclusive lore reveals, updates & early access content! ⚠️ HEAVY DEVELOPMENT - Features subject to change as we perfect the experience Credits available in-game
Last updated by the developer 10 Jul 2026, 17:09 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 20 Aug 2026, 01:48 | 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.