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Destroy Wall Breaker

Destroy Wall Breaker

A Roblox experience owned by Echo Echo Games.

SimulatorENclickeridlestrength training

Destroy Wall Breaker is a simulator experience created on March 27, 2021. The game has accumulated 9,669,087 lifetime visits and holds 5,582 favorites. It maintains a 94% like percentage. Currently, zero users are playing the experience. The title focuses on strength training mechanics within the simulator genre.

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

👊 Welcome to Destroy Wall Breaker 🏋️ Train your strength to get better punch! 👊 Punch through walls! 🏆 Earn wins & pets! Premium players get +2 strength! Tags: Colorful, Super, Strength, Fun, Punch, Clicker, Simulator, Idle, Social

Last updated by the developer 16 Jun 2023, 11:46 UTC.

0
playing (measured 10 Aug 2026, 17:18 UTC)
9,669,087
lifetime visits
94%
liked (13,091 👍 / 847 👎)
5,582
favourites (0.6 per 1k visits)
27 March 2021
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 We do not publish numbers we have not measured.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
10 Aug 2026, 17:180first reading

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

Monetization — game passes

x3 Wins
599 R$
x3 Strength
599 R$
+5 Pet Equips
499 R$
x2 Strength
399 R$
x2 Wins
399 R$
Auto Hatch
349 R$
Triple Hatch
299 R$
+30 Pet Inventory
199 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

Completed First World · progression549,318 · 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.