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カポエラー

Damage Calculator
Usage Percent
0%
Monthly Rank
#138

Base Stats for カポエラー

HP
50
Atk
95
Def
95
SpA
35
SpD
110
Spe
70

Best Moves for カポエラー

マッハパンチ
99.342%
こうそくスピン
95.542%
でんこうせっか
94.900%
ねこだまし
94.884%
Other
15.333%

Best Teammates for カポエラー

Best Items for カポエラー

シルクのスカーフ
94.884%
たつじんのおび
4.458%
Other
0.658%

Best Abilities for カポエラー

テクニシャン
99.342%
いかく
0.658%

Best EV Spreads for カポエラー

いじっぱり
252/
252/
4/
0/
0/
0
94.884%
ようき
0/
252/
4/
0/
0/
252
4.442%

Type Matchups for カポエラー

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

What are the best moves for カポエラー in Gen 7 UnderUsed?

The top moves for カポエラー in Gen 7 UnderUsed are マッハパンチ (99.342%), こうそくスピン (95.542%), でんこうせっか (94.900%), ねこだまし (94.884%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for カポエラー?

カポエラー synergizes well with Galvantula (75.137%), Roserade (75.137%), Feraligatr (75.137%), Krookodile (75.137%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on カポエラー?

The most popular items for カポエラー are シルクのスカーフ (94.884%), たつじんのおび (4.458%), Other (0.658%). The best choice depends on your team composition and strategy.

What ability is best for カポエラー?

The most common abilities for カポエラー are テクニシャン (99.342%) and いかく (0.658%). The choice often depends on your team's strategy.

What Tera Type should I use on カポエラー?

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

What is the best EV spread for カポエラー?

The most common EV spread for カポエラー is いじっぱり with 252/252/4/0/0/0 (94.884% usage). This build is optimized for the current metagame.

What is カポエラー weak to and resistant against?

カポエラー 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 カポエラー good in Gen 7 UnderUsed?

カポエラー is currently ranked in the Gen 7 UnderUsed 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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