Shadows of Chatham #7066653
Game fan groupsENmilitary roleplayfactionsci-fi
Description
Shadows of Chatham is a hidden military faction hidden currently in a snowy environment. Almost undetectable by radar and you would have to search widely for the base. Dark areas are our favorite and we wear dark clothing. We mostly work at night and stay neutral at day. Forgived for crimes and accepted into their countries military, as elites. Our tech is a near-futuristic area. There are smaller mafias and spies within the faction. We capture things too, to protect society and use them against our enemy. We're currently working on an underground area in [CLASSIFIED]. And we will soon finish around [CLASSIFIED]. Feel free to join the faction for more info and an active military based group.
Written by the group; not a statement by this register.
Membership history
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 We do not publish numbers we have not measured.
| Measured (UTC) | Members | Change |
|---|---|---|
| 13 Aug 2026, 05:28 | 6 | first reading |
Ownership
Owned by @JecoForcer as measured.
Groups seen changing owner — the largest ever handed over and the most recent — are on the ownership transfers board.
Experiences
Experiences this group owns, by lifetime visits. Live-player counts are from our last measurement.
Members we’ve seen
@JecoForcer — [CLASSIFIED] (rank 255)
Agent (@Agent101232) — Hidden Field Elites (rank 12)
@is_take — Hidden Field Elites (rank 12)
utopia_mr (@forutopia_mr) — Hidden Field Elites (rank 12)
A sample — only members this register has independently measured, highest rank first. Not the full roster.
Rank structure
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.