Skill Learning

Skill Learning requires a certain amount of ICE. It has three results: fail, learn new skills successfully, and replace.

Mechs can only learn one rage skill at most. If the mech has successfully learned a rage skill, it can no longer learn other rage skills.

After the mech already has a skill, in the next learning the learned skill may be replaced. Theoretically, a mech can have at most 10 skills.

Level up of mechs can increase the success rate of learning skills with a high probability. For each level of the mech, the success rate of learning skills will increase by 5%. If the number of skills the mech possesses currently is 2 and the level of it is 3, the probability of success in learning skills is:

P (Success) = 50% * (1 + 5% * 2) = 55%

P (Fail) = (1 - 55%) * (30% / 50%) = 27%

P (Replace) = 1 - 55% - 27% = 18%

Skill Quantity	Fail	Replace	Success	ICE Consumption	HPT Consumption
0	10%	-	90%	1000	-
1	20%	10%	70%	10000	-
2	30%	20%	50%	20000	20
3	35%	25%	40%	30000	50
4	40%	30%	30%	40000	80
5	45%	35%	20%	80000	120
6	50%	40%	10%	120000	160
7	55%	40%	5%	160000	200
8	65%	34%	1%	200000	300
9	75%	24.9%	0.1	250000	500