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戽斗尖梭

Damage Calculator
Usage Percent
1%
Monthly Rank
#85

Base Stats for 戽斗尖梭

HP
61
Atk
123
Def
60
SpA
60
SpD
50
Spe
136

Best Moves for 戽斗尖梭

快速折返
99.144%
精神之牙
89.859%
水流裂破
89.797%
近身战
83.152%
毒击
17.178%
攀瀑
10.197%
Other
10.673%

Best Teammates for 戽斗尖梭

Best Items for 戽斗尖梭

讲究头带
94.022%
神秘水滴
4.087%
Other
1.891%

Best Abilities for 戽斗尖梭

悠游自如
99.997%
螺旋尾鳍
0.003%

Best EV Spreads for 戽斗尖梭

固执
0/
252/
0/
0/
4/
252
53.722%
爽朗
0/
252/
0/
0/
4/
252
41.056%
爽朗
0/
252/
4/
0/
0/
252
3.243%

Type Matchups for 戽斗尖梭

Weak
Electric 2x Grass 2x
Resist
Fire 1/2x Water 1/2x Ice 1/2x Steel 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 戽斗尖梭 in Gen 7 Monotype?

The top moves for 戽斗尖梭 in Gen 7 Monotype are 快速折返 (99.144%), 精神之牙 (89.859%), 水流裂破 (89.797%), 近身战 (83.152%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 戽斗尖梭?

戽斗尖梭 synergizes well with Pelipper (92.496%), Swampert (71.398%), Urshifu-Rapid-Strike (41.439%), Samurott-Hisui (31.730%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 戽斗尖梭?

The most popular items for 戽斗尖梭 are 讲究头带 (94.022%), 神秘水滴 (4.087%), Other (1.891%). The best choice depends on your team composition and strategy.

What ability is best for 戽斗尖梭?

The most common abilities for 戽斗尖梭 are 悠游自如 (99.997%) and 螺旋尾鳍 (0.003%). The choice often depends on your team's strategy.

What Tera Type should I use on 戽斗尖梭?

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

What is the best EV spread for 戽斗尖梭?

The most common EV spread for 戽斗尖梭 is 固执 with 0/252/0/0/4/252 (53.722% usage). This build is optimized for the current metagame.

What is 戽斗尖梭 weak to and resistant against?

戽斗尖梭 is weak to Electric (2x), Grass (2x), resists Fire (1/2x), Water (1/2x), Ice (1/2x), Steel (1/2x), and is immune to no attacking types.

Is 戽斗尖梭 good in Gen 7 Monotype?

戽斗尖梭 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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