Twisted Murderer Community Group #8430186
Game fan groupsENgaming communityhall of fameuser data collection
Description
Twisted Murderer Hall of Fame. We collect user data in several different ways; we manually go in game and check peoples ranks and items, or we go on YT and check videos of peoples rank, though this one isn’t recommended due to it being outdated. It is impossible to sync the data from TM towards our experiences due to us not owning the datakey under the same creator/group. If you are above rank 1000, you are eligible to be displayed in game with your username and rank! Make sure to join the group for a great time and to relive TM memories and make new ones! Use common sense, we don’t have set rules but just don’t do anything stupid.
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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 12 Aug 2026, 03:21 | 25 | first reading |
Ownership
Owned by @FollowingHighTMRanks as measured.
Members we’ve seen
@FollowingHighTMRanks — Group Owner (rank 255)
wicked (@wickedize) — Rank 3000+ (rank 5)
Amber (@PenguinObsessedd) — Rank 3000+ (rank 5)
eni (@ennieeex) — Rank 1000+ (rank 4) terminated
Imfaooo (@murderbydefault) — Rank 1000+ (rank 4)
@twistedly — Rank 1000+ (rank 4)
dirt (@vaIseda) — Rank 1000+ (rank 4)
o mydays (@smoothust) — Rank 1000+ (rank 4)
MAGGIE (@MAGGOTPANTS) — Rank 1000+ (rank 4)
zay reck (@BMEZAY) — Rank 1000+ (rank 4)
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.