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灵幽马

Damage Calculator
Usage Percent
0%
Monthly Rank
#121

Base Stats for 灵幽马

HP
100
Atk
65
Def
60
SpA
145
SpD
80
Spe
130

Best Moves for 灵幽马

守住
98.952%
暗影球
93.663%
吸取之吻
77.070%
诡计
54.306%
冥想
30.285%
太晶爆发
11.244%
精神强念
10.153%
恶之波动
9.835%
Other
14.492%

Best Items for 灵幽马

Covert Cloak
70.934%
气势披带
9.645%
文柚果
6.873%
生命宝珠
6.407%
刺耳果
5.230%
Other
0.912%

Best Abilities for 灵幽马

漆黑嘶鸣
100.000%

Best EV Spreads for 灵幽马

胆小
180/
0/
132/
4/
4/
188
76.163%
内敛
4/
0/
0/
252/
0/
252
15.967%
胆小
28/
0/
148/
196/
4/
132
6.201%

Type Matchups for 灵幽马

Weak
Ghost 2x Dark 2x
Resist
Poison 1/2x Bug 1/2x
Immune
Normal 0x Fighting 0x
Frequently Asked Questions

What are the best moves for 灵幽马 in VGC 2024 Regulation Set F?

The top moves for 灵幽马 in VGC 2024 Regulation Set F are 守住 (98.952%), 暗影球 (93.663%), 吸取之吻 (77.070%), 诡计 (54.306%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 灵幽马?

灵幽马 synergizes well with Grimmsnarl (76.407%), Raging Bolt (76.023%), Ogerpon-Wellspring (70.444%), Wo-Chien (69.814%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 灵幽马?

The most popular items for 灵幽马 are Covert Cloak (70.934%), 气势披带 (9.645%), 文柚果 (6.873%). The best choice depends on your team composition and strategy.

What ability is best for 灵幽马?

The most common abilities for 灵幽马 are 漆黑嘶鸣 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 灵幽马?

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

What is the best EV spread for 灵幽马?

The most common EV spread for 灵幽马 is 胆小 with 180/0/132/4/4/188 (76.163% usage). This build is optimized for the current metagame.

What is 灵幽马 weak to and resistant against?

灵幽马 is weak to Ghost (2x), Dark (2x), resists Poison (1/2x), Bug (1/2x), and is immune to Normal (0x), Fighting (0x).

Is 灵幽马 good in VGC 2024 Regulation Set F?

灵幽马 is currently ranked in the VGC 2024 Regulation Set F 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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