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KSMRR [BETA]

KSMRR [BETA]

A Roblox experience owned by KSMRR: Offical Group.

ShooterENcombatkillstreakbeta

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

⚠️THE GAME IS STILL IN BETA, SO DONT GET MAD OVER BUGS! ⚠️ Welcome to Killstreak Mayhem: Revitalized! 💀Kill other players to become stronger & dominate the server! 🖐Unlock a multitude of gloves ranging from kill required & badge required! 🐛Report any issues/bugs that you find within our game to our communications server! 🚫don't exploit, its not worth it!!! >:( Note: This game is currently out for TESTERS only, and it might go public when nearly everything is done.

Last updated by the developer 30 Apr 2026, 05:08 UTC.

0
playing (measured 12 Aug 2026, 17:34 UTC)
677
lifetime visits
80%
liked (8 👍 / 2 👎)
8
favourites (11.8 per 1k visits)
12 April 2023
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 We do not publish numbers we have not measured.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
12 Aug 2026, 17:340first reading

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

Badge funnel

125 · progression32 · 0.00% win
A Great Sacrifice · other27 · 0.00% win
Ultimate Obliteration · progression21 · 0.00% win
True Bravery · progression12 · 0.00% win
1111 · progression10 · 0.00% win
1 0 0 · other6 · 0.00% win
Truly Endless · progression6 · 0.00% win
True Adventuer · progression6 · 0.00% win
Adventurer · other6 · 0.00% win
Universal Threat · progression5 · 0.00% win
True Dedication. · progression5 · 0.00% win
Endless Destruction · progression3 · 0.00% win
??? · 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.