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The Armstep Battlegrounds  [KJ]

The Armstep Battlegrounds [KJ]

A Roblox experience owned by Novaworks's Studio.

Fighting & PvPENbattlegroundscombatlegacy map

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

Welcome to The Armstep Battlegrounds more modes coming soon Train to fight be the stronest this game will no longer be updated as we are making a new game called The ArmStep BattleGrounds 2 the old map is back if you go into the building up the stairs and into the tunnel and keep walkin you will make it l copyright 2025 NovaWorks's Studio

Last updated by the developer 14 Feb 2026, 03:12 UTC.

0
playing (measured 21 Aug 2026, 01:00 UTC)
694
lifetime visits
100%
liked (14 👍 / 0 👎)
5
favourites (7.2 per 1k visits)
14 June 2025
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 We do not publish numbers we have not measured.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
21 Aug 2026, 01:000first reading

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

Monetization — game passes

admin
20,000 R$
KJ
2,500 R$
1000 robux dono
1,000 R$
battlepass
599 R$
500 robux dono
500 R$
minigames
300 R$
vip
299 R$
Upstairs
250 R$
100 robux dono
100 R$
50 robux dono
50 R$
10 robux dono
10 R$
dono
10 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

find the Nova · collection6 · 0.00% win
play when the upd is early · other2 · 0.00% win
Meet the owner · social2 · 0.00% win
Find the World · other0 · 0.00% win
welcome · welcome0 · 0.00% win

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.