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古月鸟

Damage Calculator
Usage Percent
0%
Monthly Rank
#186

Base Stats for 古月鸟

HP
70
Atk
85
Def
55
SpA
85
SpD
95
Spe
85

Best Moves for 古月鸟

清除浓雾
99.954%
冲浪
99.879%
羽栖
93.960%
勇鸟猛攻
93.947%
Other
12.259%

Best Teammates for 古月鸟

Best Items for 古月鸟

厚底靴
58.561%
吃剩的东西
35.549%
释陀果
4.177%
Other
1.712%

Best Abilities for 古月鸟

一口导弹
100.000%

Best EV Spreads for 古月鸟

温和
224/
4/
0/
0/
208/
72
51.731%
温顺
252/
0/
0/
4/
252/
0
35.391%
大胆
248/
0/
188/
0/
56/
16
6.824%
胆小
0/
0/
0/
252/
0/
252
4.177%

Type Matchups for 古月鸟

Weak
Electric 4x Rock 2x
Resist
Fire 1/2x Water 1/2x Fighting 1/2x Bug 1/2x Steel 1/2x
Immune
Ground 0x
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Frequently Asked Questions

What are the best moves for 古月鸟 in Gen 7 Monotype?

The top moves for 古月鸟 in Gen 7 Monotype are 清除浓雾 (99.954%), 冲浪 (99.879%), 羽栖 (93.960%), 勇鸟猛攻 (93.947%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 古月鸟?

古月鸟 synergizes well with Swampert (59.405%), Toxapex (58.555%), Samurott-Hisui (52.581%), Primarina (51.731%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 古月鸟?

The most popular items for 古月鸟 are 厚底靴 (58.561%), 吃剩的东西 (35.549%), 释陀果 (4.177%). The best choice depends on your team composition and strategy.

What ability is best for 古月鸟?

The most common abilities for 古月鸟 are 一口导弹 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 古月鸟?

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

What is the best EV spread for 古月鸟?

The most common EV spread for 古月鸟 is 温和 with 224/4/0/0/208/72 (51.731% usage). This build is optimized for the current metagame.

What is 古月鸟 weak to and resistant against?

古月鸟 is weak to Electric (4x), Rock (2x), resists Fire (1/2x), Water (1/2x), Fighting (1/2x), Bug (1/2x), Steel (1/2x), and is immune to Ground (0x).

Is 古月鸟 good in Gen 7 Monotype?

古月鸟 is currently ranked in the Gen 7 Monotype 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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