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Fear Street: Camp Nightwing (HORROR)

Fear Street: Camp Nightwing (HORROR)

A Roblox experience owned by H̸̓̓S̷͂̊ ̶̑́C̴̊͒o̷͙͗r̵̈̓p̶͙̎.

HorrorENNetflix IPCamp SettingJumpscares

Fear Street: Camp Nightwing (HORROR) is a horror experience created on 2021-09-05. It has accumulated 1,394,461 lifetime visits and 33,854 favorites. The game holds a 74% like percentage. Currently, zero players are active. The title is based on the Netflix Fear Street Trilogy and features horror-themed gameplay elements.

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

Description: A couple days after the Camp Nightwing incident, you and your friends return back to the Campgrounds in hopes of ending the witch's curse. This game contains jumpscares, loud noises, and flashing lights. Recommended to play on max graphics with sound in a dark setting. Based on the Fear Street Trilogy on Netflix! Developed by iiMarceloii, Tommyneedtogopoo We do NOT own Fear Street, this is a fan made game. All rights go to the respected owners. Tags: Fear Street, Camp Nightwing, Horror, Spooky, Scary, Mystery

Last updated by the developer 21 Jun 2024, 22:30 UTC.

0
playing (measured 10 Aug 2026, 23:06 UTC)
1,394,461
lifetime visits
74%
liked (4,103 👍 / 1,424 👎)
33,852
favourites (24.3 per 1k visits)
5 September 2021
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 We do not publish numbers we have not measured.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
10 Aug 2026, 23:060first reading

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

Badge funnel

Certified Shadysider! · other118,589 · 18.2% 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.