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Redshift Arena

Redshift Arena

A Roblox experience owned by DarkMatter Interactive.

Fighting & PvPENarena combatcosmic horrorsurvival

Redshift Arena is a fighting-pvp experience created on 2019-07-28. It has recorded 558,813 lifetime visits and 12,725 favorites. The current player count is 0. The experience holds an 86% like percentage.

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

You’ve been chosen to compete in a high-stakes arena—watched by an ancient, cosmic being known only as the Great Old One. Battle fast, think faster, and prove humanity is worth saving. Every match brings you one step closer to freedom… or extinction.

Last updated by the developer 5 May 2026, 17:54 UTC.

0
playing (measured 11 Aug 2026, 00:53 UTC)
558,813
lifetime visits
86%
liked (3,473 👍 / 577 👎)
12,720
favourites (22.8 per 1k visits)
28 July 2019
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 We do not publish numbers we have not measured.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, 00:530first reading

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

Badge funnel

Taste of Blood · other30,568 · 0.00% win
A New Beginning · welcome7,177 · 100.0% win
Corporal · other948 · 0.00% win
Killing Spree · other929 · 0.00% win
Unstoppable · other258 · 0.00% win
One HP Warrior · progression138 · 0.00% win
Rampage · other127 · 0.00% win
GODLIKE · other78 · 0.00% win
Commander · other74 · 0.00% win
Perfection · other33 · 0.00% win
General · other11 · 0.00% win
Inheritor · other1 · 0.00% win
Mythic · other0 · 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.