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[⚔️Timeless⚔️] Anime Clash Tower Defense X

[⚔️Timeless⚔️] Anime Clash Tower Defense X

A Roblox experience owned by NewBl0x Studio.

Tower defenseENAnimeTower DefenseTrading

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

🌟 Anime Clash Tower Defense X 🌟 Get ready for the ultimate battle! 💥 Defend your base and build the strongest team by gathering characters inspired by the greatest animes. ⚔️ What you will find in the game: • 🌌 Many characters to unlock. • ⚡ Trading system to create a brand-new team. • 🏰 Strategic defense modes against endless enemy waves. • 🌟 Frequent updates with new warriors and maps. 👑 Show off your strategies and prove that you are the true master of Anime Clash Tower Defense X!

Last updated by the developer 8 Sept 2025, 20:16 UTC.

0
playing (measured 15 Aug 2026, 17:49 UTC)
376
lifetime visits
83%
liked (10 👍 / 2 👎)
1
favourites (2.7 per 1k visits)
16 August 2025
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 We do not publish numbers we have not measured.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
15 Aug 2026, 17:490first reading

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

Monetization — game passes

2x Inventory
99 R$
2x Luck
99 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

Nightmare Mode Defeated · progression2 · 0.00% win
Hard Mode Defeated · progression1 · 0.00% win
Medium Mode Defeated · progression0 · 0.00% win
Easy Mode Defeated · progression0 · 0.00% 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.