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多边兽２型

Damage Calculator
Usage Percent
1%
Monthly Rank
#57

Base Stats for 多边兽２型

HP
85
Atk
80
Def
90
SpA
105
SpD
95
Spe
60

Best Moves for 多边兽２型

戏法空间
99.964%
自我再生
99.851%
移花接木
95.458%
剧毒
58.640%
冰冻光束
43.599%
Other
2.489%

Best Teammates for 多边兽２型

Best Items for 多边兽２型

进化奇石
100.000%
Other
0.000%

Best Abilities for 多边兽２型

复制
54.245%
分析
36.169%
下载
9.585%

Best EV Spreads for 多边兽２型

温和
244/
0/
100/
0/
164/
0
41.307%
自大
252/
0/
100/
0/
156/
0
16.828%
温和
252/
0/
132/
0/
124/
0
10.973%
自大
252/
0/
172/
0/
84/
0
10.177%
自大
252/
0/
116/
0/
140/
0
5.319%
自大
244/
0/
124/
0/
140/
0
3.780%

Type Matchups for 多边兽２型

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

What are the best moves for 多边兽２型 in VGC 19 Ultra Series?

The top moves for 多边兽２型 in VGC 19 Ultra Series are 戏法空间 (99.964%), 自我再生 (99.851%), 移花接木 (95.458%), 剧毒 (58.640%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 多边兽２型?

多边兽２型 synergizes well with Incineroar (87.186%), Necrozma-Dusk-Mane (84.103%), Tapu Fini (77.656%), Rayquaza-Mega (73.118%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 多边兽２型?

The most popular items for 多边兽２型 are 进化奇石 (100.000%), Other (0.000%). The best choice depends on your team composition and strategy.

What ability is best for 多边兽２型?

The most common abilities for 多边兽２型 are 复制 (54.245%) and 分析 (36.169%). The choice often depends on your team's strategy.

What Tera Type should I use on 多边兽２型?

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

What is the best EV spread for 多边兽２型?

The most common EV spread for 多边兽２型 is 温和 with 244/0/100/0/164/0 (41.307% usage). This build is optimized for the current metagame.

What is 多边兽２型 weak to and resistant against?

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

Is 多边兽２型 good in VGC 19 Ultra Series?

多边兽２型 is currently ranked in the VGC 19 Ultra Series 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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