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彷徨夜灵

Damage Calculator
Monthly Rank
#257

Base Stats for 彷徨夜灵

HP
40
Atk
70
Def
130
SpA
60
SpD
130
Spe
25

Best Moves for 彷徨夜灵

戏法空间
85.500%
咒术
63.200%
磷火
59.200%
分担痛楚
47.400%
黑色目光
40.800%
睡觉
35.500%
黑夜魔影
28.900%
临别礼物
17.100%
影子偷袭
14.500%
黑雾
5.300%

Best Tera Types for 彷徨夜灵

Poison
66.700%
Dark
33.300%

Best Items for 彷徨夜灵

进化奇石
100.000%

Best Abilities for 彷徨夜灵

察觉
81.100%
压迫感
18.900%
性格
Bold
49.100%
Relaxed
24.500%
Sassy
22.600%
Impish
3.800%

Type Matchups for 彷徨夜灵

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 彷徨夜灵 in Gen 9 Battle Stadium Singles Regulation Set I?

The top moves for 彷徨夜灵 in Gen 9 Battle Stadium Singles Regulation Set I are 戏法空间 (85.5%), 咒术 (63.2%), 磷火 (59.2%), 分担痛楚 (47.4%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 彷徨夜灵?

彷徨夜灵 synergizes well with Miraidon (undefined%), Calyrex-Ice (undefined%), Ursaluna-Bloodmoon (undefined%), Dragonite (undefined%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 彷徨夜灵?

The most popular items for 彷徨夜灵 are 进化奇石 (100.0%). The best choice depends on your team composition and strategy.

What ability is best for 彷徨夜灵?

The most common abilities for 彷徨夜灵 are 察觉 (81.1%) and 压迫感 (18.9%). The choice often depends on your team's strategy.

What Tera Type should I use on 彷徨夜灵?

The most popular Tera Types for 彷徨夜灵 are Poison (66.7%), Dark (33.3%). Tera Poison is the most common choice.

What is the best EV spread for 彷徨夜灵?

The most common nature for 彷徨夜灵 is Bold.

What is 彷徨夜灵 weak to and resistant against?

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

Is 彷徨夜灵 good in Gen 9 Battle Stadium Singles Regulation Set I?

彷徨夜灵 is currently ranked in the Gen 9 Battle Stadium Singles Regulation Set I 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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