MathHammer 40k
What's MathHammer 40k APK?
MathHammer 40k is a app for Android, It's developed by sumo55 author.
First released on google play in 11 years ago and latest version released in 11 years ago.
This app has 0 download times on Google play and rated as 3.74 stars with 80 rated times.
This product is an app in Tools category. More infomartion of MathHammer 40k on google play
Updated with 6th Edition changes!
The easiest way to determine your chance of success during a game of Warhammer 40k!
There are three options to check your model's or unit's predicted success:
1) Shooting against Infantry and Monstrous Creatures
2) In melee against Infantry and Monstrous Creatures
3) Trying to penetrate armor.
All options are designed for ease of use and usefulness of data, as well as making all the information fit on one screen. No scrolling required.
Please note that for the sake of simplicity, bs6 is assumed to hit every time.
No app can predict the roll of one die, but MathHammer 40k gives an approximation of what your success rate should be.
Good luck on the tabletop!
This app is meant to be a supplement to established copyrighted material owned by Games Workshop. It does not include any Model statistics so as not to duplicate that material.
The easiest way to determine your chance of success during a game of Warhammer 40k!
There are three options to check your model's or unit's predicted success:
1) Shooting against Infantry and Monstrous Creatures
2) In melee against Infantry and Monstrous Creatures
3) Trying to penetrate armor.
All options are designed for ease of use and usefulness of data, as well as making all the information fit on one screen. No scrolling required.
Please note that for the sake of simplicity, bs6 is assumed to hit every time.
No app can predict the roll of one die, but MathHammer 40k gives an approximation of what your success rate should be.
Good luck on the tabletop!
This app is meant to be a supplement to established copyrighted material owned by Games Workshop. It does not include any Model statistics so as not to duplicate that material.
