暴雪王

grassice Damage Calculator
Usage Percent
0%
Monthly Rank
#176

Base Stats for Abomasnow

HP
90
Atk
92
Def
75
SpA
92
SpD
85
Spe
60

Best Moves for Abomasnow

暴风雪
ice
82.425%
守住
normal
64.121%
飞叶风暴
grass
51.673%
大地之力
ground
37.308%
极光幕
ice
31.658%
冰砾
ice
28.586%
能量球
grass
22.851%
木槌
grass
15.330%
真气弹
fighting
15.035%
地震
ground
12.195%
冰冻拳
ice
11.504%
冰冻光束
ice
10.336%
Other
16.979%

Best Items for Abomasnow

气势披带
77.188%
讲究眼镜
10.176%
吃剩的东西
3.493%
巧可果
1.578%
冰冷岩石
1.561%
勿花果
1.148%
Other
4.857%

Best Abilities for Abomasnow

降雪
99.782%
隔音
0.218%

Best EV Spreads for Abomasnow

内敛
4/
0/
0/
252/
0/
252
21.645%
内敛
252/
0/
0/
252/
0/
4
17.286%
内敛
204/
0/
0/
220/
0/
84
11.458%
冷静
252/
0/
0/
252/
4/
0
11.384%
勇敢
92/
252/
92/
4/
68/
0
10.714%
冷静
252/
0/
0/
252/
0/
0
9.754%
Frequently Asked Questions

What are the best moves for Abomasnow in series5?

The top moves for Abomasnow in series5 are 暴风雪 (82.425%), 守住 (64.121%), 飞叶风暴 (51.673%), 大地之力 (37.308%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Abomasnow?

Abomasnow synergizes well with Sandslash-Alola (26.852%), Grimmsnarl (26.286%), Glaceon (22.492%), Whimsicott (22.441%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Abomasnow?

The most popular items for Abomasnow are 气势披带 (77.188%), 讲究眼镜 (10.176%), 吃剩的东西 (3.493%). The best choice depends on your team composition and strategy.

What ability is best for Abomasnow?

The most common abilities for Abomasnow are 降雪 (99.782%) and 隔音 (0.218%). The choice often depends on your team's strategy.

What Tera Type should I use on Abomasnow?

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

What is the best EV spread for Abomasnow?

The most common EV spread for Abomasnow is 内敛 with 4/0/0/252/0/252 (21.645% usage). This build is optimized for the current metagame.

Is Abomasnow good in series5?

Abomasnow is currently ranked in the series5 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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