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HOOD BACKROOMS TESTING

HOOD BACKROOMS TESTING

A Roblox experience owned by 2026ᅠ.

ShooterENgun testingsandboxPvP

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

⚠️ Alpha Stage – Expect Bugs **HOOD BACKROOMS TESTING** is an early-development hood-style gun testing experience centered around realistic firearms, vehicles, and combat. This isn't a complete game—it's a sandbox built for testing mechanics, experimenting with weapons, and enjoying casual PvP. Inspired by classic hood gun-testing experiences while bringing its own style. [How to Play] * Try out a wide selection of firearms with unique handling and calibers. * Spawn with a random loadout and fight other players in fast-paced PvP. * Explore the map, test different weapons, and experiment with game mechanics.

Last updated by the developer 27 Jul 2026, 01:43 UTC.

0
playing (measured 11 Aug 2026, 08:08 UTC)
6,504
lifetime visits
68%
liked (44 👍 / 21 👎)
96
favourites (14.8 per 1k visits)
28 June 2026
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 We do not publish numbers we have not measured.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
11 Aug 2026, 08:080first reading

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

Monetization — game passes

Heavy Armor
250 R$
Medium Armor
125 R$
Medkit
100 R$
Donation
50 R$
Light Armor
50 R$

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

Welcome · welcome3,441 · 0.00% win
Met The Owner · social170 · 0.00% win
100 Kills · other25 · 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.