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[OLD VERSION] London War

[OLD VERSION] London War

A Roblox experience owned by NT Corporation.

RoleplayENRoleplayCrimeLondon

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

Welcome to 😈London War this game is a Strict RP based in London : The game have a variety of possibility you can be police , criminal or just a civilian , the map is very realistic with Police Station , Dealership , Turfs... , There is a lot of works , So remember to be RP , dont RK for a better experience! ⛔️Shutdown = Update Join Turf = Communication Server👾 Met = Soon... Tags: Hood Roleplay Gang London RP War Guns Bank Rob

Last updated by the developer 18 May 2024, 19:41 UTC.

0
playing (measured 11 Aug 2026, 20:16 UTC)
28,605
lifetime visits
84%
liked (71 👍 / 14 👎)
83
favourites (2.9 per 1k visits)
6 July 2023
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 We do not publish numbers we have not measured.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
11 Aug 2026, 20:160first reading

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

Monetization — game passes

Swifty GamePass
80,000 R$
GamePass
40,000 R$
+20k
2,000 R$
SMALL TURF
1,200 R$
/sg AR-15 Custom
1,100 R$
+10k
1,000 R$
Gamepass
1,000 R$
/sg BlackDraco
950 R$
/sg Skorpion
650 R$
+5k
500 R$
/sg GlockBeam
260 R$
/sg Ruger
220 R$
/sg Rossi
210 R$
Tec9
200 R$
/sg Knife
100 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

Welcome To London War · welcome4,443 · 0.00% win
London War ! · other128 · 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.