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Cavalry-Mortar Battalion 70

Cavalry-Mortar Battalion 70 #17221172

11
members (measured 13 Aug 2026, 08:44 UTC)
16 March 2023
created (per Roblox API)
10 August 2026
first measured by this register

Description

๐ŸŽ๐—–๐—ฎ๐˜ƒ๐—ฎ๐—น๐—ฟ๐˜†-๐— ๐—ผ๐—ฟ๐˜๐—ฎ๐—ฟ ๐—•๐—ฎ๐˜๐˜๐—ฎ๐—น๐—ถ๐—ผ๐—ป 70๐Ÿ’ฅ The Cavalry-Mortar Battalion 70 is a specialized and versatile unit within the esteemed 3rd Cavalry Division. Combining the mobility of cavalry with the firepower of mortar units, this battalion plays a vital role in providing indirect fire support to cavalry operations on the battlefield. โž–๐‡๐Ž๐๐Ž๐”๐‘, ๐ƒ๐”๐“๐˜, ๐‹๐Ž๐˜๐€๐‹๐“๐˜โž–

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 โ€” so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log โ€” every members count we have recorded
Measured (UTC)MembersChange
11 Aug 2026, 20:3711first reading

Ownership

Owned by @TeutonnicDivisions as measured.

Members weโ€™ve seen

@TeutonnicDivisions โ€” Sword (rank 255)

@TeutonnicArmy โ€” Mortarmen (rank 1)

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

Rank structure

Sword1
OoTR0
Chancellery0
Realmsmarshal0
Chief of the AFHC0
Branch Command0
Army High Command2
Commanding Officer1
Executive Officer1
Company Command0
Company Officer0
Company NCO1
Reconnaissance Company0
Cavalry Company0
Mortar Company3
Reserve Company0
Member11
Mortarmen2
Guest0

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

Related groups

Groups whose measured members overlap with this one โ€” a sample from our membership graph.

Open data

Download this groupโ€™s measured record โ€” free to reuse with attribution: membership history (CSV) ยท full record (JSON)

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