Today, the editor brings you the Chinese Ghost Story Mobile Game Professional Damage Formula. Do you want to know how to calculate the damage of the magic system? Do you want to know when to run away as soon as possible? Then let’s learn with the editor!
The calculation formula for the occupational damage of the Chinese Ghost Story mobile game
How to calculate the damage value of the Chinese Ghost Story System
The ultimate damage added on the equipment is reduced, and the coefficient is 1.0 when PVE (killing monsters), and the coefficient is X0.15 when calculated by PVP (killing people), and the coefficient is X0.7 when calculated by pets.
The player's damage coefficient to the player is 0.15, the spirit beast's damage coefficient to the player is 0.3, the player's damage coefficient to the spirit beast is 0.7, the player's damage coefficient to the monster is 1, and the monster's damage coefficient to the player is 1.
Compare the maximum spell attack here to: A
Spirit Minimum Attack is Comparison to: D
Skill damage is compared to: B
Compared with methods and techniques to: C
When Manjianghong skill level is first, 2826 drops of blood can be dropped. It lasts for three seconds and blood is lost. (Full=2900) If the magic power is 8000-10000. If the defense against the method is 8000, the calculation is as follows:
Continuous blood loss damage per second (formula):
(D+B-C)X0.15-----(A+B-C)X0.15
(8000+2900-8000)X0.15=435 means the minimum blood loss is 435X4=1710 drops.
(10000+2900-8000)X0.15=735 means the maximum blood loss is 735X4=2940 drops.
That is, according to this ratio:
Man Jianghong's blood loss was 1710-2940 drops.
For example, for example, the instant damage is 1800. If the opponent's light resistance is 50, the instant damage is (formula):
Between (A+B-C)X0.15X(1-0.5%X50)---(D+B-C)X0.15X(1-0.5X50%)
(8000+1800-8000)X0.15X(1-0.5X50%)=203
I wonder if you understand this after reading it? Thank you very much for watching! If you don’t understand anything, you can come to the editor (although my math is also very good), but I still look forward to everyone’s feedback. See you next time!