A játékról

Hexual Deflection is a minimalistic Multiplayer Arena RTS where you do not only defend against enemy units with towers but also send your own units onto enemy towers. Your goal is to be last player alive on the board. Fast paced and chaotic gameplay may require you to quickly adapt to changes on the playfield

To do so, you have only 3 types of buildings which you can place in your claimed area:


Increases the amount of credits you gain per cycle, which are needed to build more buildings quicker - you better protect these to not fall behind the other players


This building will shoot on enemy units coming in their vicinity - because your enemy will try to destroy your base. With a range of only 1 hex, you need to place them wisely.


Will send out units on the path you set for them - Units will destroy buildings on their path and you set the path for each of them. Find the best way to hurt your enemies the most, but be quick, before your enemies find a weak spot on you

That's basically it - sounds simple, right? But everyone else on the field has the same options, so make your best out of it to be victorious

GAMEPLAY

The basic gameplay is simple. You start with your main building which will generate a little but steady income of credits. Mines will generate you more credits quicker, but you also have to buy defense and attack towers to engage or protect yourself from the other players on the board. The main building of each player has 5 hitpoints, while every other building will be destroyed by the first hit. The last player with his main building still on the board wins the round.

Just aim your mouse on the desired field within your area and press the respective button to place a building. (Keyboard/Mouse required)

MULTIPLAYER

Train yourself against the AI or join/host an online match with up to 32 players

MAP EDITOR

The game also comes with a Map Editor, where you can create your own maps to play against friends, foes and AI

DEMO VERSION

In the Demo you can play the tutorial and fight against the AI in a fixed randomly generated playfield