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[BETA] Aowen Tower Defense

[BETA] Aowen Tower Defense

A Roblox experience owned by Aowen_Studio.

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

Welcome to Tower defense, the ultimate Tower Defense game on Roblox! In this thrilling game, you are tasked with defending your base against waves of relentless enemies. Strategically place a variety of unique towers along the path to stop the invaders before they reach your base ! Key Features: Challenging Enemies: Face off against hordes of enemies, each with distinct strengths and weaknesses. Adapt your tactics to counter various types of foes, including swift runners, armored tanks ! Upgrade System: Earn money and rewards as you progress through the game to upgrade your towers and unlock new abilities. Strengthen your defenses to take on tougher challenges and higher difficulty levels.

Last updated by the developer 20 Jan 2026, 08:57 UTC.

0
playing (measured 16 Sept 2026, 10:08 UTC)
414
lifetime visits
60%
liked (3 👍 / 2 👎)
5
favourites (12.1 per 1k visits)
9 June 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 We do not publish numbers we have not measured.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
16 Sept 2026, 10:080first reading

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

Monetization — game passes

299 Résidence Belcour
299 R$
Supporter Grade
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

Welcome · welcome38 · 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.