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雪暴马

Damage Calculator
Usage Percent
1%
Monthly Rank
#53

Base Stats for 雪暴马

HP
100
Atk
145
Def
130
SpA
65
SpD
110
Spe
30

Best Moves for 雪暴马

近身战
100.000%
冰柱坠击
100.000%
跺脚
89.017%
守住
89.017%
十万马力
10.983%
Other
10.983%

Best Teammates for 雪暴马

Best Items for 雪暴马

Clear Amulet
89.017%
突击背心
10.556%
Other
0.427%

Best Abilities for 雪暴马

苍白嘶鸣
100.000%

Best EV Spreads for 雪暴马

勇敢
252/
196/
0/
0/
60/
0
89.017%
勇敢
0/
252/
100/
0/
156/
0
10.556%

Type Matchups for 雪暴马

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

What are the best moves for 雪暴马 in Teal Mask VGC 2023 Resultaion Set E?

The top moves for 雪暴马 in Teal Mask VGC 2023 Resultaion Set E are 近身战 (100.000%), 冰柱坠击 (100.000%), 跺脚 (89.017%), 守住 (89.017%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 雪暴马?

雪暴马 synergizes well with Cresselia (46.009%), Ogerpon-Wellspring (45.928%), Landorus-Therian (45.928%), Iron Hands (45.928%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 雪暴马?

The most popular items for 雪暴马 are Clear Amulet (89.017%), 突击背心 (10.556%), Other (0.427%). The best choice depends on your team composition and strategy.

What ability is best for 雪暴马?

The most common abilities for 雪暴马 are 苍白嘶鸣 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 雪暴马?

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

What is the best EV spread for 雪暴马?

The most common EV spread for 雪暴马 is 勇敢 with 252/196/0/0/60/0 (89.017% usage). This build is optimized for the current metagame.

What is 雪暴马 weak to and resistant against?

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

Is 雪暴马 good in Teal Mask VGC 2023 Resultaion Set E?

雪暴马 is currently ranked in the Teal Mask VGC 2023 Resultaion Set E 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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