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多边兽乙型

Damage Calculator
Usage Percent
0%
Monthly Rank
#157

Base Stats for 多边兽乙型

HP
85
Atk
80
Def
70
SpA
135
SpD
75
Spe
90

Best Moves for 多边兽乙型

冰冻光束
90.425%
破坏光线
82.734%
打雷
68.430%
魔法反射
67.063%
三重攻击
23.867%
恶之波动
20.017%
十万伏特
18.536%
守住
7.489%
精神冲击
5.991%
Other
15.448%

Best Teammates for 多边兽乙型

Best Items for 多边兽乙型

气势披带
69.718%
生命宝珠
13.354%
讲究围巾
10.172%
讲究眼镜
4.649%
Other
2.107%

Best Abilities for 多边兽乙型

适应力
90.639%
下载
9.353%
分析
0.008%

Best EV Spreads for 多边兽乙型

内敛
4/
0/
0/
252/
0/
252
85.094%
胆小
0/
0/
0/
252/
0/
252
4.095%
认真
4/
0/
0/
252/
0/
252
3.902%
内敛
0/
0/
0/
252/
4/
252
1.819%
胆小
4/
0/
0/
252/
0/
252
1.810%

Type Matchups for 多边兽乙型

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Frequently Asked Questions

What are the best moves for 多边兽乙型 in VGC 16?

The top moves for 多边兽乙型 in VGC 16 are 冰冻光束 (90.425%), 破坏光线 (82.734%), 打雷 (68.430%), 魔法反射 (67.063%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 多边兽乙型?

多边兽乙型 synergizes well with Groudon-Primal (79.316%), Kangaskhan-Mega (73.107%), Gengar-Mega (72.629%), Yveltal (71.023%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 多边兽乙型?

The most popular items for 多边兽乙型 are 气势披带 (69.718%), 生命宝珠 (13.354%), 讲究围巾 (10.172%). The best choice depends on your team composition and strategy.

What ability is best for 多边兽乙型?

The most common abilities for 多边兽乙型 are 适应力 (90.639%) and 下载 (9.353%). The choice often depends on your team's strategy.

What Tera Type should I use on 多边兽乙型?

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

What is the best EV spread for 多边兽乙型?

The most common EV spread for 多边兽乙型 is 内敛 with 4/0/0/252/0/252 (85.094% usage). This build is optimized for the current metagame.

What is 多边兽乙型 weak to and resistant against?

多边兽乙型 is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is 多边兽乙型 good in VGC 16?

多边兽乙型 is currently ranked in the VGC 16 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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