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CN | Special Forces Team

CN | Special Forces Team #35858423

18
members (measured 21 Aug 2026, 17:23 UTC)
12 April 2025
created (per Roblox API)
10 August 2026
first measured by this register

Game studiosENmilitaryroleplaysecurity

Description

SFT | Special Forces Team is stationed in Berkeley County to safeguard the peace against all armed threats. Our mission is to suppress and neutralize criminal gangs operating within the region. Furthermore, we are tasked with high-profile protection details, securing VIPs from the reach of any malicious elements.

Written by the group; not a statement by this register.

Membership history

Growth

182119.511 August 2026 — 21 members21 August 2026 — 18 members11 August 202621 August 2026
2 measurements spanning 10 days, net -3. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 18–21 and does not start at zero.
Measurement log — every members count we have recorded
Measured (UTC)MembersChange
21 Aug 2026, 12:1418-3
11 Aug 2026, 20:1421first reading

Ownership

Owned by user #7548826355 as measured.

Members we’ve seen

Miwa (@Alzerice1)Director (rank 254)

@VitoSkilettoDeputy Director (rank 89)

@Dimer_20Agent In Chage (rank 10)

BlackAs (@chwytak6)Senior Agent (rank 3)

Pro Recan (@RecanPlayzIsGOD)Agent (rank 2)

A sample — only members this register has independently measured, highest rank first. Not the full roster.

Rank structure

Agency Oversight1
Director1
Deputy Director1
Assistant Director2
Agent In Chage2
Assistant Agent In Chage1
Supervisory Agent2
Senior Agent4
Agent2
멤버18
Probationary Agent2
Guest0

Roles and per-rank member counts as Roblox reports them (rank 0 = guest … 255 = owner).

Related groups

Groups whose measured members overlap with this one — a sample from our membership graph.

Open data

Download this group’s measured record — free to reuse with attribution: membership history (CSV) · full record (JSON)

Each file carries its licence and retrieval time inside it, and is generated from the same measurements shown above.