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Strength Clicker

Strength Clicker

A Roblox experience owned by BloxMint_Studios.

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

💪 Strength Clicker Simulator 💥 Welcome to Strength Clicker Simulator, the ultimate workout clicker game on Roblox! 🔥 Click to gain STRENGTH and become the strongest player on the server! 🏋️‍♂️ Train, lift, and power up with every tap. ⚡ Unlock powerful pets to boost your strength gain. 🌍 Explore new worlds as you grow stronger and dominate leaderboards. 💥 Challenge friends and other players to lifting competitions. 🌀 Rebirth to gain massive multipliers and climb the ranks faster! 💎 Frequent updates, limited-time events, and exclusive rewards! Can you become the ultimate strength titan? 👍 Like and favorite the game to support us and stay updated!

Last updated by the developer 10 Jun 2026, 02:50 UTC.

0
playing (measured 25 Sept 2026, 12:46 UTC)
847
lifetime visits
80%
liked (4 👍 / 1 👎)
0
favourites
3 June 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 We do not publish numbers we have not measured.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
25 Sept 2026, 12:460first reading

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

Monetization — game passes

triple eggs
149 R$
+250 pet storage
129 R$
double strength
99 R$
lucky
99 R$
exclusive egg!
99 R$
+3 pets equipped
99 R$
auto egg
49 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

Chicken jockey! · other0 · 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.