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[πŸŽ„] Fish Fighting

[πŸŽ„] Fish Fighting

A Roblox experience owned by (Gone)Fishermen.

Fighting & PvPENfishfightingabilities

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

so yeah there's fish (re-uploaded and up to guidelines don't worry) Computer Keybinds: Left Click: Swing Fish Q: Dash 1: Ability 1 2: Ability 2 3 Ability 3 4: Ability 4 G: Activate Ult B: Emote Controller Keybinds: R2: Swing Fish L1: Dash X: Ability 1 B: Ability 2 R1 Ability 3 L2: Ability 4 Y: Activate Ult Right on D-Pad: Emote Mobile has on-screen buttons for all actions *Keybinds for each individual fish are displayed in the bottom left corner of the screen **Not all fish have abilities or ult, check individual keybinds for applicable fish

Last updated by the developer 1 Jul 2026, 16:01 UTC.

0
playing (measured 24 Aug 2026, 00:30 UTC)
199
lifetime visits
92%
liked (11 πŸ‘ / 1 πŸ‘Ž)
3
favourites (15.1 per 1k visits)
4 August 2025
created (per Roblox)

Play on Roblox β†’

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 β€” so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log β€” every players count we have recorded
Measured (UTC)PlayersChange
24 Aug 2026, 00:300first reading

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

Monetization β€” game passes

Double Votes
199 R$
Double Cash
99 R$
Early Access
99 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

Fish Fighting Β· welcome27 Β· 0.00% win
First Win Β· progression15 Β· 0.00% win
Idol Β· collection2 Β· 0.00% win
True Winner Β· progression0 Β· 0.00% win

How many players have ever earned each badge β€” 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.