[CHURCH] Anomaly Watch
A Roblox experience owned by Bachibo.
HorrorENhorrorMandela Cataloguesurvival
[CHURCH] Anomaly Watch is a horror experience created on 2023-12-20. It currently has 83 players online. The game has accumulated 34,605,348 lifetime visits and 298,673 favorites. It holds an 87% like percentage. The genre is classified as horror.
Description (written by the developer; not a statement by this register)
Anomaly Watch is a horror game inspired by the Mandela Catalogue and the I'm On Observation Duty games. In Anomaly Watch you are sent to explore a rural house where unexplainable events happen, objects go missing, become distorted, and strange humanoids appear. Your job is to recognize and report unexplainable events and most importantly, report unrecognizable creatures and intruders. All in all survive until 6 am. Good Luck! House Keybinds: PC: Equip Tablet - R Mobile: Equip Tablet - Button on side of the screen. Office Keybinds: Flashlight: F or Gamepad B Sprint: Left Shift or Gamepad R1 Exiting the reporter: Jump Horror outside human comprehension. Thank you for playing Anomaly Watch Developer: punitto Icon art: Jslay0_0 v.101 -new map (CHURCH) -leaderboards -win counts -hardmode
Last updated by the developer 28 Sept 2025, 01:12 UTC.
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 We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Aug 2026, 18:46 | 150 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
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
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.
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