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SLAYERS REBORN

SLAYERS REBORN

A Roblox experience owned by Re: Slayers.

Fighting & PvPENanimecombatclan

SLAYERS REBORN is a fighting-pvp experience created on 2024-08-09. The game has accumulated 1,176,967 lifetime visits and 10,849 favorites. It maintains a 75% like percentage. Currently, zero players are active in the experience.

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

NEW CODE at 6,500 LIKES! All current codes are in the community server! (FIXED SERVER LINK!) Destroy demons or become one, the choice is yours. CONTROLS: !rejoin in chat to rejoin !trade player name to trade T - Carry Y - Grip H - Clan Skill Q - Dash Left Shift - Sprint F - Block F (Timed) - Perfect Block R - Evasive G - Regenerate Breathing Left CTRL - Shift Lock Sprint + Left Alt - Slide *Console & Mobile Supported*

Last updated by the developer 19 May 2026, 00:03 UTC.

0
playing (measured 10 Aug 2026, 19:36 UTC)
1,176,967
lifetime visits
75%
liked (6,668 👍 / 2,173 👎)
10,849
favourites (9.2 per 1k visits)
9 August 2024
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 We do not publish numbers we have not measured.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, 19:360first reading

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

Monetization — game passes

Muzan Notifier
550 R$
Nezuko Box
400 R$
Progression Viewer
350 R$
Skip Spins
150 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

ALPHA TESTER · other380
Awakening · other286

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.