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비조도

Damage Calculator
Usage Percent
0%
Monthly Rank
#136

Base Stats for 비조도

HP
65
Atk
125
Def
60
SpA
95
SpD
60
Spe
105

Best Moves for 비조도

유턴
100.000%
탁쳐서떨구기
95.326%
인파이트
73.757%
스톤에지
44.656%
독찌르기
43.550%
무릎차기
26.243%
Other
16.468%

Best Teammates for 비조도

Best Items for 비조도

생명의구슬
55.055%
통굽부츠
32.522%
구애머리띠
11.120%
Other
1.303%

Best Abilities for 비조도

재생력
89.119%
이판사판
10.434%
정신력
0.447%

Best EV Spreads for 비조도

명랑
0/
252/
0/
0/
4/
252
50.795%
명랑
20/
252/
0/
0/
4/
232
38.667%
명랑
0/
252/
4/
0/
0/
252
10.434%

Type Matchups for 비조도

Weak
Flying 2x Psychic 2x Fairy 2x
Resist
Bug 1/2x Rock 1/2x Dark 1/2x
Immune
None
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Frequently Asked Questions

What are the best moves for 비조도 in OverUsed?

The top moves for 비조도 in OverUsed are 유턴 (100.000%), 탁쳐서떨구기 (95.326%), 인파이트 (73.757%), 스톤에지 (44.656%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 비조도?

비조도 synergizes well with Dragapult (50.057%), Landorus-Therian (39.321%), Zapdos (38.778%), Melmetal (38.696%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 비조도?

The most popular items for 비조도 are 생명의구슬 (55.055%), 통굽부츠 (32.522%), 구애머리띠 (11.120%). The best choice depends on your team composition and strategy.

What ability is best for 비조도?

The most common abilities for 비조도 are 재생력 (89.119%) and 이판사판 (10.434%). The choice often depends on your team's strategy.

What Tera Type should I use on 비조도?

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

What is the best EV spread for 비조도?

The most common EV spread for 비조도 is 명랑 with 0/252/0/0/4/252 (50.795% usage). This build is optimized for the current metagame.

What is 비조도 weak to and resistant against?

비조도 is weak to Flying (2x), Psychic (2x), Fairy (2x), resists Bug (1/2x), Rock (1/2x), Dark (1/2x), and is immune to no attacking types.

Is 비조도 good in OverUsed?

비조도 is currently ranked in the OverUsed 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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