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[🌟Update 14🌟] Anime Clash Tower Defense

[🌟Update 14🌟] Anime Clash Tower Defense

A Roblox experience owned by NewBl0x Studio.

Tower defenseENAnimeTower DefenseStrategy

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

⛩️Anime Clash Tower Defense⛩️

Last updated by the developer 17 Sept 2025, 17:13 UTC.

0
playing (measured 15 Aug 2026, 17:49 UTC)
6,179
lifetime visits
93%
liked (14 👍 / 1 👎)
9
favourites (1.5 per 1k visits)
1 April 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 We do not publish numbers we have not measured.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

True Demon King (Limited)
750 R$
Mirrored Psychopathy
650 R$
Raid Tickets
400 R$
Swiftwagon
60 R$
2x Drop
50 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

Broom Sorcerer · collection37 · 0.00% win
Guitar Sorcerer · collection36 · 0.00% win
Dough King Awk · other34 · 0.00% win
Amplifying Sorcerer · collection28 · 0.00% win
Boogie Sorcerer · other28 · 0.00% win
The Honored · other26 · 0.00% win
None · other20 · 0.00% win
(Limited) · collection19 · 0.00% win
(Limited) · collection18 · 0.00% win
Roku Super Saiyajin · collection18 · 0.00% win
Boss Rush Defeated · progression18 · 0.00% win
Shadows Sorcerer · other17 · 0.00% win
Thunder God · other17 · 0.00% win
Fushigina · other16 · 0.00% win
Kyoki · other16 · 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.