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Falkenia (WIP)

Falkenia (WIP)

A Roblox experience owned by Battleground's Creations.

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

"Ao meu sinal, avançaremos. Que Deus tenha piedade de nós." Quatorze dias atrás, uma anomalia consciente escapou parcialmente de uma simulação secreta para o mundo físico, trazendo com ela uma praga de informação absurda. Conhecida como "A Besta", essa entidade não tem corpo, ela precisa da sua mente para existir. Assuma o papel de um Vagante, de um membro da Organização Mundial da Saúde ou até mesmo de um Conscrito, e descubra o que aconteceu, como as coisas chegaram a esse ponto e como parar A Besta. (Servidores privados = Mod para o dono)

Last updated by the developer 23 Oct 2026, 00:54 UTC.

0
playing (measured 25 Oct 2026, 05:00 UTC)
466
lifetime visits
100%
liked (5 👍 / 0 👎)
4
favourites (8.6 per 1k visits)
5 December 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 We do not publish numbers we have not measured.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
25 Oct 2026, 05:000first reading

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

Monetization — game passes

Doação
15 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

Acesso Antecipado · other12 · 0.00% win
A Arma Perdida · collection8 · 0.00% win
Revelações · progression6 · 0.00% win
O Louco · secret6 · 0.00% win
Está Feito · other6 · 0.00% win
Arsenal · collection3 · 0.00% win
Exército de um · progression1 · 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.