冰岩怪

Damage Calculator
Usage Percent
0%
Monthly Rank
#369

Base Stats for 冰岩怪

HP
95
Atk
117
Def
184
SpA
44
SpD
46
Spe
28

Best Moves for 冰岩怪

陀螺球
97.362%
雪崩
92.850%
自我再生
57.291%
剧毒
37.812%
高速旋转
29.811%
冰雹
28.666%
守住
26.800%
地震
8.987%
岩崩
3.632%
Other
16.788%

Best Items for 冰岩怪

吃剩的东西
54.195%
凸凸头盔
33.363%
不融冰
5.637%
气势披带
3.241%
Other
3.564%

Best Abilities for 冰岩怪

冰冻之躯
56.059%
结实
42.086%
我行我素
1.855%

Best EV Spreads for 冰岩怪

悠闲
236/
0/
252/
0/
20/
0
33.346%
勇敢
252/
0/
0/
0/
252/
0
25.166%
悠闲
252/
4/
252/
0/
0/
0
24.221%
勇敢
252/
252/
0/
0/
4/
0
8.098%
乐天
252/
0/
252/
0/
0/
0
3.241%
勇敢
0/
252/
252/
0/
0/
0
1.849%

Type Matchups for 冰岩怪

Weak
Fire 2x Fighting 2x Rock 2x Steel 2x
Resist
Ice 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 冰岩怪 in DOU?

The top moves for 冰岩怪 in DOU are 陀螺球 (97.362%), 雪崩 (92.850%), 自我再生 (57.291%), 剧毒 (37.812%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 冰岩怪?

冰岩怪 synergizes well with Mamoswine (47.438%), Mimikyu (34.281%), Umbreon (33.347%), Gyarados (33.346%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 冰岩怪?

The most popular items for 冰岩怪 are 吃剩的东西 (54.195%), 凸凸头盔 (33.363%), 不融冰 (5.637%). The best choice depends on your team composition and strategy.

What ability is best for 冰岩怪?

The most common abilities for 冰岩怪 are 冰冻之躯 (56.059%) and 结实 (42.086%). The choice often depends on your team's strategy.

What Tera Type should I use on 冰岩怪?

Tera Type data is not available for this format or Pokemon.

What is the best EV spread for 冰岩怪?

The most common EV spread for 冰岩怪 is 悠闲 with 236/0/252/0/20/0 (33.346% usage). This build is optimized for the current metagame.

What is 冰岩怪 weak to and resistant against?

冰岩怪 is weak to Fire (2x), Fighting (2x), Rock (2x), Steel (2x), resists Ice (1/2x), and is immune to no attacking types.

Is 冰岩怪 good in DOU?

冰岩怪 is currently ranked in the DOU metagame. Check the usage percentage and teammates section to see how well it performs. The data is aggregated from thousands of high-level ranked battles.





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