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🐨 Wildlife Rescue

🐨 Wildlife Rescue

A Roblox experience owned by Purple Toast Productions.

SimulatorENanimal caresimulationupgrades

Wildlife Rescue is a simulator experience created on March 7, 2024. The game has recorded 983,603 lifetime visits and 2,565 favorites. It maintains an 82 percent like percentage. Currently, zero users are playing the experience. The description highlights rescuing and healing endangered animals within a medic tent setting.

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

Wildlife Rescue Game! - 🪓Rescue Endangered Animals - 🩺Heal them in your medic tent! - ⬆️Upgrade your tool and your medic tent for faster healing! Be a Wildlife Hero! 💚Love to hear your feedback! Join our Community (Purple Toast Productions) Please leave a 👍 Thumbs Up & 🌟 Favorite if you enjoyed the game!

Last updated by the developer 30 Apr 2026, 22:00 UTC.

0
playing (measured 10 Aug 2026, 18:20 UTC)
983,603
lifetime visits
82%
liked (504 👍 / 114 👎)
2,565
favourites (2.6 per 1k visits)
7 March 2024
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 We do not publish numbers we have not measured.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
10 Aug 2026, 18:200first reading

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

Monetization — game passes

All Passes
849 R$
All Islands Unlock
549 R$
x2 Hearts
449 R$
x2 Gold
349 R$
x2 Speed
49 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

Alpha Guinea Testers · other503,398 · 100.0% 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.