Fazbear's Escape REVIVAL
A Roblox experience owned by Fazbear's Escape.
HorrorENFive Nights at Freddy'sHorrorEscape Room
Fazbear's Escape REVIVAL is a horror experience created on 2019-09-16. It has accumulated 1,610,035 lifetime visits and 22,835 favorites. The game holds an 80% like percentage. Currently, zero users are playing. The description mentions using codes for in-game currency and roleplaying as animatronics or captives.
Description (written by the developer; not a statement by this register)
Use code REVIVAL for 10K FazCoins! 🐻🍕🔦 There's something lurking in the darkness at Freddy Fazbear's... Work together with your friends to escape before you're trapped forever! 💰 Unlock and play as your favorite animatronics, each with a unique ability, or play as a human captive trying to escape! ✨ Check out Fazbear's Roleplay through the main game to role play with your friends using all of the animatronics from the main game! 🔔 Be sure to hit the FOLLOW button to be notified when the game is updated! ❗ Join the Fazbear's Escape group! https://www.roblox.com/groups/5170631/Fazbears-Escape#!/ 📜 Developed By: - @beiims - @GGallantGaming - @Rexex
Last updated by the developer 9 May 2025, 23:12 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 We do not publish numbers we have not measured.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, 18:50 | 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.