Fishing Mega-Game

Fishing Mega-Game
当前玩家
5
24小时峰值
5
30天峰值
5
发行日期
2026/01/21

关于游戏

Fishing Mega-Game is a fishing creature collector that's all about fighting fish to catch fish! You play as an angler who uses the fish they catch as bait for the next big one. Collect dozens of vibrant fish and unlock unique ability combinations to challenge the hordes of fish wishing to take the bait themselves.

Fishing and Surviving

While fishing, send your bait into a fishing hole full of hungry fish looking to weaken you until you are fully consumed. Combat this with an arsenal resembling an aquatic "bullet heaven" type of game. Level up, or find rare upgrades to power through the hordes of small fry before you arrive at the main catch. Deal enough damage to it and add it to your collection!

This game takes inspiration from Vampire Survivors and Ridiculous Fishing.

Explore a World Full of Fishing Spots

In order to find new fish, you'll need to explore new zones full of fishing spots, NPCs and upgrade shops. Discover new levels, unlock permanent upgrades and receive helpful hints from characters in the area.

Custom Difficulty

Each fish has an alternate "shiny" version. After catching all fish in a level, you will unlock the ability to enchant the waters, giving you increased odds of finding a shiny fish. By increasing the difficulty of the level, the fishing fairy will increase the percent chance that you encounter a shiny fish!

Over 60 Fish to Catch!

There will be over 60 unique fish for you to challenge and collect. Each fish has a unique combination of starting attack and abilities. Catch tons of fish and find the ones that suit your playstyle the best.

Key Features

  • Creature Collecting

  • Shiny hunting

  • Bullet-heaven gameplay

  • Roguelike style leveling

  • Meta-progression

  • Custom difficulty

  • and more!

玩家活跃度

月度统计

月份平均玩家增长增长 %峰值

关于 Fishing Mega-Game 数据

gmCharts 跟踪 Fishing Mega-Game 的 Steam 玩家活跃数据,包括当前在线人数、24 小时峰值、30 天峰值、近期趋势以及 Steam 聚合评价数据。此页面可帮助你快速比较玩家关注度和评价倾向。

Steam 评价:特别好评,34 条评价中 88% 为好评。