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Log Ability Training(Alpha)

Log Ability Training(Alpha)

A Roblox experience owned by Lots of Logs.

Fighting & PvPENarena combatability progressionlog fighting

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

Welcome to Log Ability Training!💪 Just a chaotic arena with all sorts of different types of logs and abilities, work your way up in hits to unlock better logs with better abilities, and have fun! Join group for updates and to report bugs! Like the game for more updates❤️ 🖥️ PC Controls 🖱️ Click — Swing💥 🅴 E — Use Ability⚡ 📱 Mobile (use buttons) 👍 🎮 Console Controls Xbox RT → Swing💥 X → Use Ability⚡ L3 → Shift Lock🎯 PlayStation R2 → Swing💥 Square → Use Ability⚡ L3 → Shift Lock🎯

Last updated by the developer 8 Nov 2025, 05:36 UTC.

0
playing (measured 11 Aug 2026, 04:33 UTC)
129,641
lifetime visits
94%
liked (536 👍 / 35 👎)
345
favourites (2.7 per 1k visits)
4 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 We do not publish numbers we have not measured.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
11 Aug 2026, 04:330first reading

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

Monetization — game passes

NukeLog
500 R$
The Forbidden Log
495 R$
The Blackhole Log
385 R$
Double Hits
155 R$
Boombox
65 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

Guardian Vanquisher · progression811 · 0.00% win
Whats This? · other404 · 0.00% win
The Golden Bone · collection366 · 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.