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鳃鱼海兽

Damage Calculator
Usage Percent
0%
Monthly Rank
#128

Base Stats for 鳃鱼海兽

HP
90
Atk
90
Def
100
SpA
80
SpD
90
Spe
55

Best Moves for 鳃鱼海兽

鳃咬
99.664%
冷冻干燥
99.662%
暴风雪
92.512%
尖石攻击
92.512%
Other
15.650%

Best Items for 鳃鱼海兽

生命宝珠
92.512%
讲究头带
7.152%
Other
0.336%

Best Abilities for 鳃鱼海兽

拨雪
99.664%
储水
0.336%
冰冻之躯
0.000%

Best EV Spreads for 鳃鱼海兽

怕寂寞
0/
252/
0/
4/
0/
252
92.512%
固执
0/
252/
0/
0/
4/
252
7.150%

Type Matchups for 鳃鱼海兽

Weak
Electric 2x Grass 2x Fighting 2x Rock 2x
Resist
Ice 1/4x Water 1/2x
Immune
None
Ability notes
Water Absorb: Water moves become 0x.
Frequently Asked Questions

What are the best moves for 鳃鱼海兽 in OverUsed?

The top moves for 鳃鱼海兽 in OverUsed are 鳃咬 (99.664%), 冷冻干燥 (99.662%), 暴风雪 (92.512%), 尖石攻击 (92.512%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 鳃鱼海兽?

鳃鱼海兽 synergizes well with Ninetales-Alola (85.044%), Landorus-Therian (85.043%), Urshifu-Rapid-Strike (77.892%), Clefable (77.892%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 鳃鱼海兽?

The most popular items for 鳃鱼海兽 are 生命宝珠 (92.512%), 讲究头带 (7.152%), Other (0.336%). The best choice depends on your team composition and strategy.

What ability is best for 鳃鱼海兽?

The most common abilities for 鳃鱼海兽 are 拨雪 (99.664%) and 储水 (0.336%). The choice often depends on your team's strategy.

What Tera Type should I use on 鳃鱼海兽?

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

What is the best EV spread for 鳃鱼海兽?

The most common EV spread for 鳃鱼海兽 is 怕寂寞 with 0/252/0/4/0/252 (92.512% usage). This build is optimized for the current metagame.

What is 鳃鱼海兽 weak to and resistant against?

鳃鱼海兽 is weak to Electric (2x), Grass (2x), Fighting (2x), Rock (2x), resists Ice (1/4x), Water (1/2x), and is immune to no attacking types. Ability notes: Water Absorb: Water moves become 0x.

Is 鳃鱼海兽 good in OverUsed?

鳃鱼海兽 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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