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Lucky Block Tower 2

Lucky Block Tower 2

A Roblox experience owned by Super baby Games.

ObbyENtower climbingrandom itemstroll mechanics

Lucky Block Tower 2 is an obby experience created on 2025-08-14. The game has recorded 715,942 lifetime visits and maintains an 88% like percentage. Currently, zero users are playing. The experience has accumulated 178 favorites since its launch. It features tower-climbing mechanics involving lucky blocks and troll elements on each floor.

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

Welcome to Lucky Block Tower 2 ! Get an item to climb the tower in Lucky Block and break it! Get help with the 🔥Lucky Block! Watch out for 🖐️Trolls! There are troll elements on each floor! Inspired by Slap Tower

Last updated by the developer 28 Sept 2025, 12:04 UTC.

0
playing (measured 10 Aug 2026, 21:04 UTC)
715,942
lifetime visits
88%
liked (123 👍 / 17 👎)
179
favourites (0.3 per 1k visits)
14 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 We do not publish numbers we have not measured.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
10 Aug 2026, 21:040first reading

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

Monetization — game passes

무지개 양탄자🌈
599 R$
무지개 손🌈
499 R$
잡는 총
399 R$
점프 코일
299 R$
VIP👑
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

Welcome! · welcome477,480 · 0.00% win
Congratulations! · welcome3,748 · 0.00% win
??? · other1,950 · 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.