Supernatural Training
A Roblox experience owned by Aqua Quest.
SimulatorENsupernatural abilitiestraining simulatorPvE/PvP combat
Description (written by the developer; not a statement by this register)
📜UPDATE 6: THE CODES UPDATE IS NOW OUT! 📜 Join the community server in the social links to view the full update log and the full list of codes. Become strong, durable, fast and agile today in Supernatural Training! Train yourself to defeat even the greatest of foes by unlocking supernatural abilities only seen in fiction! Fight enemies, bosses and players alike to your fullest of abilities, grow your reputation until everyone knows your name! Expand your inventory by collecting many items of varying rarities from enemies, bosses and raid bosses! Compete with friends and players all around the world to become the strongest, most durable, fastest and most agile player in the game! Join our group Aqua Quest on Roblox for a chat & over head tag as well as a 20% bonus to all training! Made by the developers at Aqua Quest! REMINDER: Supernatural Training is currently in it's beta phase, expect bugs, glitches and some poor balancing! Updates every weekend.
Last updated by the developer 19 Feb 2025, 13:53 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 We do not publish numbers we have not measured.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 |
|---|---|---|
| 13 Aug 2026, 09:21 | 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.