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アシレーヌ

Damage Calculator
Usage Percent
0%
Monthly Rank
#114

Base Stats for アシレーヌ

HP
80
Atk
74
Def
74
SpA
126
SpD
116
Spe
60

Best Moves for アシレーヌ

ムーンフォース
99.683%
クイックターン
98.820%
サイコキネシス
96.151%
なみのり
94.868%
Other
10.478%

Best Teammates for アシレーヌ

Best Items for アシレーヌ

こだわりメガネ
95.687%
Other
4.313%

Best Abilities for アシレーヌ

げきりゅう
95.768%
うるおいボイス
4.232%

Best EV Spreads for アシレーヌ

ひかえめ
40/
0/
0/
252/
0/
216
94.868%
ひかえめ
0/
0/
0/
252/
4/
252
3.429%

Type Matchups for アシレーヌ

Weak
Electric 2x Grass 2x Poison 2x
Resist
Fire 1/2x Water 1/2x Ice 1/2x Fighting 1/2x Bug 1/2x Dark 1/2x
Immune
Dragon 0x
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Frequently Asked Questions

What are the best moves for アシレーヌ in OverUsed?

The top moves for アシレーヌ in OverUsed are ムーンフォース (99.683%), クイックターン (98.820%), サイコキネシス (96.151%), なみのり (94.868%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for アシレーヌ?

アシレーヌ synergizes well with Garchomp (95.347%), Weavile (94.880%), Dragonite (94.876%), Bisharp (94.868%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on アシレーヌ?

The most popular items for アシレーヌ are こだわりメガネ (95.687%), Other (4.313%). The best choice depends on your team composition and strategy.

What ability is best for アシレーヌ?

The most common abilities for アシレーヌ are げきりゅう (95.768%) and うるおいボイス (4.232%). The choice often depends on your team's strategy.

What Tera Type should I use on アシレーヌ?

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

What is the best EV spread for アシレーヌ?

The most common EV spread for アシレーヌ is ひかえめ with 40/0/0/252/0/216 (94.868% usage). This build is optimized for the current metagame.

What is アシレーヌ weak to and resistant against?

アシレーヌ is weak to Electric (2x), Grass (2x), Poison (2x), resists Fire (1/2x), Water (1/2x), Ice (1/2x), Fighting (1/2x), Bug (1/2x), Dark (1/2x), and is immune to Dragon (0x).

Is アシレーヌ good in OverUsed?

アシレーヌ 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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