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Mini Tower of Trigonometrical Rotations (NERFS)

Mini Tower of Trigonometrical Rotations (NERFS)

A Roblox experience owned by Custom Labs.

ObbyENtower climbhard obbynerfs

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

---Update--- Added some nerfs, because the tower felt a bit boring, loopfail and rng Changed Floor 3 music to Granny OST - Main Menu Welcome to MToTR. This is a mini tower, which is considered to be about unreal difficulty as it shows some of the most strategic and ridiculous jumps, where a failure can lead to your demise. Play at your own risk... (There is all jump in the game, isn't working that well tho) Inspired by Tow (Tower of Wigglecore), EToH, and every other complex mechanic obby, which i had visited

Last updated by the developer 25 Jul 2026, 09:52 UTC.

0
playing (measured 20 Aug 2026, 17:02 UTC)
290
lifetime visits
25%
liked (1 👍 / 3 👎)
3
favourites (10.3 per 1k visits)
23 October 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 We do not publish numbers we have not measured.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
20 Aug 2026, 17:020first reading

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

Monetization — game passes

Highly appreciated
100 R$
Show support
10 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

All-jump Mini Tower of Trigonometrical Rotations · progression5 · 0.00% win
Beat Mini Tower of Trigonometrical Rotations · progression1 · 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.