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About Anime Training Simulator
Anime Training Simulator is an anime-themed action-adventure training simulator on Roblox developed by LuoboCube, launched in April 2023. Players train their character's combat stats and work to defeat nine monsters that have invaded their village, each more powerful than the last. Drawing on Naruto aesthetics with ninja-themed content and a code named "noruto" as a direct pun, the game has accumulated 13.9 million visits and a 92.8% approval rating from over 15,000 votes.
The narrative gives the grind a clear purpose: nine monsters threaten the village, and the player as guardian must grow strong enough to defeat them all. The badge-revealed progression funnel shows exactly how steep the challenge becomes - 5.7 million players have earned the Noob starting badge, while only 3 have reached The Road to Success endgame badge, making this one of the sharpest difficulty curves in its category. The game's named progression zones structure the journey:
- βοΈ Sand Zone - the first major hurdle; 1.2 million players have earned the SandHero badge
- πΊοΈ Bamboo Zone - mid-game area; 458,000 earners
- πΊοΈ Sea Zone - later-game zone; 152,000 earners
- π° Coins - primary abundant currency earned through training and combat
- π Gold - scarce premium currency and the most valuable resource from codes
Two currencies drive the economy: Coins (common, from training and enemies) and Gold (rare, from codes and select gameplay). A Lucky Star system tied to luck mechanics adds a gacha-adjacent layer to progression, confirmed by the Lucky Star badge with 223,000 earners. The game also features a Skills system and a Pet system with dedicated equip slot gamepasses for players who want additional build depth.
The developer publishes the complete milestone code ladder directly in the game description, with each code tied to a specific likes count - one of the most transparent code roadmaps on the platform. Anime Training Simulator is comparable to Anime Sword Master for players who prefer a narrative-framed training format.
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