Vikavolt

bugelectric Damage Calculator
Usage Percent
0%
Monthly Rank
#256

Base Stats for Vikavolt

HP
77
Atk
70
Def
90
SpA
145
SpD
75
Spe
43

Best Moves for Vikavolt

伏特替换
electric
78.953%
虫鸣
bug
78.948%
黏黏网
bug
65.040%
能量球
grass
46.284%
十万伏特
electric
45.324%
羽栖
flying
37.549%
Hidden Power Ice
ice
16.289%
放电
electric
8.875%
剧毒
poison
4.232%
Other
18.506%

Best Items for Vikavolt

厚底靴
48.788%
讲究眼镜
27.685%
气势披带
13.425%
吃剩的东西
4.900%
巧可果
2.051%
Other
3.150%

Best Abilities for Vikavolt

飘浮
100.000%

Best EV Spreads for Vikavolt

大胆
252/
0/
252/
4/
0/
0
33.874%
冷静
252/
0/
4/
252/
0/
0
26.231%
内敛
252/
0/
0/
252/
4/
0
10.837%
内敛
0/
0/
4/
252/
0/
252
10.161%
大胆
252/
0/
252/
0/
4/
0
3.340%
胆小
252/
0/
0/
0/
4/
252
2.746%
Frequently Asked Questions

What are the best moves for Vikavolt in Gen 9 National Dex?

The top moves for Vikavolt in Gen 9 National Dex are 伏特替换 (78.953%), 虫鸣 (78.948%), 黏黏网 (65.040%), 能量球 (46.284%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Vikavolt?

Vikavolt synergizes well with Great Tusk (42.313%), Arcanine-Hisui (34.509%), Raging Bolt (31.889%), Charizard-Mega-Y (31.836%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Vikavolt?

The most popular items for Vikavolt are 厚底靴 (48.788%), 讲究眼镜 (27.685%), 气势披带 (13.425%). The best choice depends on your team composition and strategy.

What ability is best for Vikavolt?

The most common abilities for Vikavolt are 飘浮 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Vikavolt?

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

What is the best EV spread for Vikavolt?

The most common EV spread for Vikavolt is 大胆 with 252/0/252/4/0/0 (33.874% usage). This build is optimized for the current metagame.

Is Vikavolt good in Gen 9 National Dex?

Vikavolt is currently ranked in the Gen 9 National Dex 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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