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苍炎刃鬼

Damage Calculator
Usage Percent
0%
Monthly Rank
#131

Base Stats for 苍炎刃鬼

HP
75
Atk
125
Def
80
SpA
60
SpD
100
Spe
85

Best Moves for 苍炎刃鬼

悔念剑
99.530%
影子偷袭
85.223%
剑舞
74.789%
守住
50.206%
劈瓦
23.963%
灵骚
11.709%
近身战
10.708%
健美
8.172%
暗影爪
4.884%
交换场地
4.294%
挑衅
4.267%
喷烟
2.672%
Other
19.582%

Best Teammates for 苍炎刃鬼

Best Items for 苍炎刃鬼

生命宝珠
48.306%
Clear Amulet
26.197%
气势披带
9.704%
Covert Cloak
4.307%
弱点保险
3.275%
吃剩的东西
2.688%
厚底靴
1.675%
Other
3.848%

Best Abilities for 苍炎刃鬼

引火
82.251%
碎裂铠甲
17.749%

Best EV Spreads for 苍炎刃鬼

固执
252/
252/
0/
0/
4/
0
40.867%
固执
248/
204/
0/
0/
0/
56
21.819%
爽朗
0/
252/
0/
0/
4/
252
11.337%
慎重
252/
0/
0/
0/
172/
84
4.177%
固执
0/
252/
0/
0/
4/
252
3.957%
爽朗
4/
252/
0/
0/
0/
252
2.757%
Frequently Asked Questions

What are the best moves for 苍炎刃鬼 in Gen 9 Doubles OU Scarlet & Violet?

The top moves for 苍炎刃鬼 in Gen 9 Doubles OU Scarlet & Violet are 悔念剑 (99.530%), 影子偷袭 (85.223%), 剑舞 (74.789%), 守住 (50.206%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 苍炎刃鬼?

苍炎刃鬼 synergizes well with Dragonite (42.487%), Rillaboom (41.767%), Walking Wake (41.664%), Chien-Pao (38.685%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 苍炎刃鬼?

The most popular items for 苍炎刃鬼 are 生命宝珠 (48.306%), Clear Amulet (26.197%), 气势披带 (9.704%). The best choice depends on your team composition and strategy.

What ability is best for 苍炎刃鬼?

The most common abilities for 苍炎刃鬼 are 引火 (82.251%) and 碎裂铠甲 (17.749%). The choice often depends on your team's strategy.

What Tera Type should I use on 苍炎刃鬼?

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

What is the best EV spread for 苍炎刃鬼?

The most common EV spread for 苍炎刃鬼 is 固执 with 252/252/0/0/4/0 (40.867% usage). This build is optimized for the current metagame.

Is 苍炎刃鬼 good in Gen 9 Doubles OU Scarlet & Violet?

苍炎刃鬼 is currently ranked in the Gen 9 Doubles OU Scarlet & Violet 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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