🛸Area 63🛸 (GUN TEST!!!)
A Roblox experience owned by Fed3x.
ShooterENPVE ShooterHorror IPBeta
Description (written by the developer; not a statement by this register)
Area 51 has been infiltrated! The President, visiting to inspect advanced military technology, has been captured by Slendrina known for her mastery of dark arts and her army of elite warriors. the troops have seized control of the facility in pursuit of a powerful artifact rumored to grant UNREAL abilities. Trapped in the depths of Area 51, the President's fate is in your hands. (Gameplay) Gear Up and Prepare for War! (PVE Inspired) Team Up or Don't Eliminate troops and help secure the areas. Find Collectibles Complete the storyline and bosses Achievements (Features) Use the radio in-game to talk to people across the map! Use the Security System to avoid dangerous encounters, meet up with friends or find the BUM who killed you 😈 Only melee weapons can be dropped! hp=3=knk (Feedback) Type /feedback Share your thoughts with us! (READ) Since this is in BETA don't expect a finished game Expect a bigger map with more guns/melee Throwables Boss Battles Map Depth Quests Holstered Weapons
Last updated by the developer 14 Dec 2025, 03:34 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 We do not publish numbers we have not measured.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, 12:01 | 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.