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破破舵轮

Damage Calculator
Usage Percent
0%
Monthly Rank
#135

Base Stats for 破破舵轮

HP
70
Atk
131
Def
100
SpA
86
SpD
90
Spe
40

Best Moves for 破破舵轮

灵骚
100.000%
强力鞭打
80.416%
掷锚
79.393%
高速旋转
54.238%
地震
45.751%
青草滑梯
19.584%
剧毒
19.584%
Other
1.033%

Best Items for 破破舵轮

讲究头带
79.382%
厚底靴
20.607%
Other
0.011%

Best Abilities for 破破舵轮

钢能力者
100.000%

Best EV Spreads for 破破舵轮

固执
0/
252/
0/
0/
8/
248
45.751%
固执
252/
252/
0/
0/
4/
0
33.631%
勇敢
252/
44/
0/
0/
212/
0
19.584%

Type Matchups for 破破舵轮

Weak
Fire 2x Ice 2x Flying 2x Ghost 2x Dark 2x
Resist
Water 1/2x Electric 1/2x Grass 1/2x Ground 1/2x
Immune
Normal 0x Fighting 0x
Frequently Asked Questions

What are the best moves for 破破舵轮 in OverUsed?

The top moves for 破破舵轮 in OverUsed are 灵骚 (100.000%), 强力鞭打 (80.416%), 掷锚 (79.393%), 高速旋转 (54.238%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 破破舵轮?

破破舵轮 synergizes well with Melmetal (66.708%), Volcarona (34.602%), Keldeo (34.602%), Weavile (34.602%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 破破舵轮?

The most popular items for 破破舵轮 are 讲究头带 (79.382%), 厚底靴 (20.607%), Other (0.011%). The best choice depends on your team composition and strategy.

What ability is best for 破破舵轮?

The most common abilities for 破破舵轮 are 钢能力者 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 破破舵轮?

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

What is the best EV spread for 破破舵轮?

The most common EV spread for 破破舵轮 is 固执 with 0/252/0/0/8/248 (45.751% usage). This build is optimized for the current metagame.

What is 破破舵轮 weak to and resistant against?

破破舵轮 is weak to Fire (2x), Ice (2x), Flying (2x), Ghost (2x), Dark (2x), resists Water (1/2x), Electric (1/2x), Grass (1/2x), Ground (1/2x), and is immune to Normal (0x), Fighting (0x).

Is 破破舵轮 good in OverUsed?

破破舵轮 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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