超级勾魂眼

Damage Calculator
Usage Percent
0%
Monthly Rank
#100

Base Stats for 超级勾魂眼

HP
50
Atk
85
Def
125
SpA
85
SpD
115
Spe
20

Best Moves for 超级勾魂眼

击掌奇袭
85.321%
移花接木
77.392%
挑衅
56.361%
重力
54.613%
磷火
40.046%
自我再生
19.771%
佯攻
14.510%
奇异之光
6.946%
恶之波动
6.597%
守住
6.423%
冥想
6.022%
自我暗示
5.708%
大声咆哮
5.569%
Other
14.722%

Best Items for 超级勾魂眼

勾魂眼进化石
100.000%

Best Abilities for 超级勾魂眼

魔法镜
100.000%

Best EV Spreads for 超级勾魂眼

自大
252/
0/
4/
0/
252/
0
49.015%
淘气
248/
0/
252/
0/
8/
0
9.645%
慎重
252/
4/
0/
0/
252/
0
8.071%
慎重
252/
0/
84/
0/
172/
0
5.396%
温和
252/
0/
4/
0/
252/
0
4.246%
勤奋
3.953%

Type Matchups for 超级勾魂眼

Weak
Fairy 2x
Resist
Poison 1/2x
Immune
Normal 0x Fighting 0x Psychic 0x
Frequently Asked Questions

What are the best moves for 超级勾魂眼 in VGC 16?

The top moves for 超级勾魂眼 in VGC 16 are 击掌奇袭 (85.321%), 移花接木 (77.392%), 挑衅 (56.361%), 重力 (54.613%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 超级勾魂眼?

超级勾魂眼 synergizes well with Groudon-Primal (79.356%), Smeargle (63.420%), Dusknoir (49.258%), Bronzong (48.068%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 超级勾魂眼?

The most popular items for 超级勾魂眼 are 勾魂眼进化石 (100.000%). The best choice depends on your team composition and strategy.

What ability is best for 超级勾魂眼?

The most common abilities for 超级勾魂眼 are 魔法镜 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 超级勾魂眼?

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

What is the best EV spread for 超级勾魂眼?

The most common EV spread for 超级勾魂眼 is 自大 with 252/0/4/0/252/0 (49.015% usage). This build is optimized for the current metagame.

What is 超级勾魂眼 weak to and resistant against?

超级勾魂眼 is weak to Fairy (2x), resists Poison (1/2x), and is immune to Normal (0x), Fighting (0x), Psychic (0x).

Is 超级勾魂眼 good in VGC 16?

超级勾魂眼 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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