SteamData.AI
简体中文简体中文
登录
排行榜
数据库
Connect
已发行

Grind Stormer

G
Grind Stormer
Grind Stormer, aka V・V, is a vertically scrolling manic shooter with gorgeous pixel art graphics and an upbeat FM soundtrack. Developed by an all-star team at the legendary Japanese studio Toaplan, known for their stellar shoot ‘em ups.

游戏资料

系统需求

Windows
Minimum:
  • Requires a 64-bit processor and operating system
  • Memory: 256 MB RAM
  • Storage: 10 MB available space
Recommended:
  • Requires a 64-bit processor and operating system

游戏简介

ARE YOU SHARP ENOUGH TO DODGE ALL THE BULLETS AND BLAST THE ENEMIES INTO OBLIVION?


Grind Stormer is a vertically scrolling space shoot ‘em up originally developed by Toaplan. The game is an early manic shooter with plenty of bullets coming at the player, a concept that was further developed in Batsugun and eventually led to the bullet hell shoot ‘em ups. The barrage of bullets makes Grind Stormer a very hard game even for the shmup veterans used to a challenge. Newcomers can utilize the new easy mode, rewind, and quick save to learn and progress.

The Japanese version of the game, called V・V (pronounced V Five), features a selectable power-up system with gauges, providing a strategic gameplay element where the key to success is to use the appropriate weapon for each level and enemy encounter. By collecting rhombus items the player can choose between different weapons similar to the Toaplan classic Slap Fight. The international version of Grind Stormer simplifies gameplay by eliminating the selective power-up system and replacing it with instant power-ups based on item acquisition.
Grind Stormer was created by an all-star team that would after their tenure at Toaplan continue their careers in the games industry.

“The perfect hybrid between old school Toaplan and bullet hell.” – Shmup Junkie

The Story of Grind Stormer:
It’s a game within a game! As a dashing young secret agent in the year 2210, you’ve received an assignment by the government to enter a virtual reality simulator with the NA-00 space fighter craft. The simulator is considered as the ultimate arcade machine. Many players have fought back, but no one has ever cleared it and returned to the real world. When you start to investigate the real purpose, you ask the question “is this really just a game?” Pressing the start button, the speaker gives the start signal. “Showtime!”

ORIGINAL GAME FEATURES:

  • Both the international Grind Stormer and Japanese V・V are included, providing different gameplay approaches.
  • The satellite helper WING is standard on the aircraft providing attack variations such as a forward barrage or a wide strike.
  • Upbeat sci-fi FM soundtrack from composer Masahiro Yuge, known for his work on Truxton, Twin Cobra, and many others.

QUALITY OF LIFE IMPROVEMENTS:

  • Minimal Input Lag: Emulation, input processing, and rendering all complete on the same frame.
  • Quick Save using F1-F10, Reload with Shift+ F1-F10
  • Online leaderboards for Single Credit, No Assist, and Assisted plays.
  • Rewind the game between 10-18 minutes, depending on the action.
  • Capture sharable replays to immortalize your interstellar victories (or funny moments).
  • Assist Features such as auto-fire at multiple rates.
  • Very Easy Mode: Lower the difficulty to breeze through the adventure.
  • Pixel perfect or full-screen scaling in windowed or full-screen mode.
  • Rotate the gameplay in 90-degree increments.
  • Steam Achievements
  • Choose between Raw Input on Windows or Steam Input.
  • Hone your skills in the ultra-customizable practice mode!

游戏详情

产品类型
Game
系列
Toaplan Arcade Collection
发行日期
08-04-2024
全部评测
褒贬不一 (16)
用户评分
43.75%
愿望单数量
关注人数
210
游戏类型
Action
标签
--
初始价格
$7.99
当前价格
$7.99
分成后总收入
$1.32k
销量
219
游戏模式
Single-playerMulti-playerCo-opShared/Split Screen Co-opShared/Split Screen
特性
Steam AchievementsSteam CloudStatsSteam LeaderboardsRemote Play TogetherFamily Sharing
手柄支持
Full controller support

游戏表现

DLC表现

AI评论分析

Copyright © 2026 SteamData.AI   隐私政策  使用条款  Cookie设置
Grind Stormer - Sales Data, Revenue & Steam Stats | SteamData.AI