GGANG! Free Download PC Game Cracked in Direct Link and Torrent. ‘GGANG!’ is a virtual reality baseball game. You can either play the game alone with an AI pitcher, or with another player using a single device. CRACKED […]
Developers: HomerunBall
Publishers: HomerunBall
Genres: VR
‘GGANG!’ is a virtual reality baseball game. You can either play the game alone with an AI pitcher, or with another player using a single device.
Features
1. Local Multiplayer Mode
Two players can enjoy the game with using single VR device. Have fun playing a baseball game with one wearing VR device being a hitter and the other one being a pitcher!
2.Shouting & Shaking System
Does the ball keep gets missing? Or does the ball throwing keep hits the bat? Raise the gauge either by shouting to the VR device, or shaking the controller! Special skill will be activated once the guage is fully charged. Look for chances to win a losing game through powerful hits and fast pitches!
3. Variable Strike Zone
The size of the strike zone automatically changes based on the player with VR device’s height. Enjoy ‘GGANG!’ with everyone!
Game Mode
1. vs CPU
AI pitcher throws random balls toward random area of the strike zone for 60 seconds. Aim for the best score!
2. vs Player
Each player uses one vive controller. Player without VR HMD throws balls toward the monitor, and the other one with VR device hits the incoming ball. Compete with each other!
All links are interchangeable, you can download different parts on different hosts
If you need help a problem, visit F.A.Q
Link MegaUp.net: Download HERE
Link Mega.nz: Download HERE
Link Openload.co: Download HERE
Link Go4Up (Multi Links): Uploading…
Link TusFiles: Download HERE
Link Rapidgator: Download HERE
Link Uptobox: Download HERE
Link Uploaded: Download HERE
Link Google Drive: Download HERE
(See instructions if you don't know how to install: Instructions on how to install)
1. Extract/Install.
2. Crack if needed.
3. Play game.
4. Have fun ^^.
5. (OPTION) Install the update version if they have the future.
Minimum:
Recommended:
0 Comments