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Toolbox Tussle | Remastered

Toolbox Tussle | Remastered

A Roblox experience owned by >Mayhem Studios<.

Fighting & PvPENfightingbattle-royalework-in-progress

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

Toolbox Tussle is a fighting game where each round your goal is to win. Most of the time winning is just having the most kills. Work in progress Data wipes may occur due to the fact the game isn't done. Expect bugs and game shutdowns, this game is nowhere near complete This game draws inspiration from: Bloody Battle, Item Asylum, Randomizer, and Allusions.

Last updated by the developer 19 Jul 2026, 19:53 UTC.

0
playing (measured 10 Aug 2026, 14:23 UTC)
415,452
lifetime visits
63%
liked (64 👍 / 38 👎)
67
favourites (0.2 per 1k visits)
30 July 2024
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 We do not publish numbers we have not measured.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, 14:230first reading

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

Badge funnel

Played the game! · welcome78,239 · 100.0% win
Eradicate Someone · other7,792 · 0.00% win
A Big Number · other5,667 · 0.00% win
Crazy Combo · other2,248 · 40.0% win
Winner's Mark · other1,652 · 0.00% win
Murderous Personality · other1,491 · 0.00% win
Truly Ultimate · other1,349 · 0.00% win
A Start · welcome726 · 0.00% win
Quick Hits · other542 · 0.00% win
Legally Insane · other449 · 0.00% win
Invincible · other141 · 0.00% win
Living For The Hunt · other119 · 0.00% win
Combo Expert · other71 · 0.00% win
Pretty Good · other45 · 0.00% win
Death's Door · other40 · 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.