急冻鸟

Damage Calculator
Usage Percent
0%
Monthly Rank
#379

Base Stats for 急冻鸟

HP
90
Atk
85
Def
100
SpA
95
SpD
125
Spe
85

Best Moves for 急冻鸟

暴风
70.919%
顺风
48.791%
冷冻干燥
46.034%
清除浓雾
42.333%
冰冻光束
28.345%
急速折返
28.146%
羽栖
27.713%
黑雾
24.893%
极光幕
22.273%
替身
19.854%
原始之力
19.854%
暴风雪
6.326%
Other
14.520%

Best Items for 急冻鸟

吃剩的东西
50.264%
飞行Z
28.626%
气势披带
17.724%
Other
3.386%

Best Abilities for 急冻鸟

压迫感
100.000%

Best EV Spreads for 急冻鸟

胆小
0/
0/
0/
252/
4/
252
53.197%
温和
248/
0/
0/
8/
252/
0
19.859%
胆小
4/
0/
0/
0/
252/
252
17.723%
大胆
80/
0/
132/
168/
128/
0
4.478%

Type Matchups for 急冻鸟

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

What are the best moves for 急冻鸟 in DOU?

The top moves for 急冻鸟 in DOU are 暴风 (70.919%), 顺风 (48.791%), 冷冻干燥 (46.034%), 清除浓雾 (42.333%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 急冻鸟?

急冻鸟 synergizes well with Kyurem-Black (61.993%), Ninetales-Alola (61.787%), Abomasnow-Mega (37.443%), Lapras (26.489%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 急冻鸟?

The most popular items for 急冻鸟 are 吃剩的东西 (50.264%), 飞行Z (28.626%), 气势披带 (17.724%). The best choice depends on your team composition and strategy.

What ability is best for 急冻鸟?

The most common abilities for 急冻鸟 are 压迫感 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 急冻鸟?

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

What is the best EV spread for 急冻鸟?

The most common EV spread for 急冻鸟 is 胆小 with 0/0/0/252/4/252 (53.197% usage). This build is optimized for the current metagame.

What is 急冻鸟 weak to and resistant against?

急冻鸟 is weak to Rock (4x), Fire (2x), Electric (2x), Steel (2x), resists Grass (1/2x), Bug (1/2x), and is immune to Ground (0x).

Is 急冻鸟 good in DOU?

急冻鸟 is currently ranked in the DOU 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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