Welcome Back to Freddy's
A Roblox experience owned by BR Club.
HorrorENFive Nights at Freddy'sHorrorSurvival
Description (written by the developer; not a statement by this register)
Version 1.1 (Added badges for all 5 nights.) (This game contains loud jumpscares.) You have discovered a rotting pizzaria, disbanded decades ago. You are locked inside, no way to get out. You traverse through the pizza place and find a secret animatronic service section. There is a working office with working doors. Can you survive another five nights with Freddy and his friends? Welcome Back to Freddy's is inspired by the Five Nights at Freddy's series by Scott Cawthon. Night 1, 2, 3, 4, and 5 are all playable. Two extra nights will be added in the future. Release date for Night 6 is unknown. VR is also supported. (W.I.P.) In order for the teleporters to work, please stand on the red teleporter that you choose until you are teleported.(about 5 seconds.) This experience is recommended for 10+ Please report bugs found ingame to the group wall. The WBTF Dizzy Server is recommended for dizzy users. Special thanks to donors for donating to help this game on Pls Donate.
Last updated by the developer 14 Feb 2024, 16:56 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 19 Aug 2026, 05:00 | 0 | 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.