猫老大

dark Damage Calculator
Usage Percent
0%
Monthly Rank
#145

Base Stats for Persian-Alola

HP
65
Atk
60
Def
60
SpA
75
SpD
65
Spe
115

Best Moves for Persian-Alola

击掌奇袭
normal
99.694%
抛下狠话
dark
95.424%
欺诈
dark
90.294%
围攻
dark
40.719%
挑衅
dark
33.363%
冰冻之风
ice
22.028%
Other
18.478%

Best Items for Persian-Alola

文柚果
42.141%
防尘护目镜
23.655%
洛玫果
14.799%
打空保险
4.594%
气势披带
3.889%
莲蒲果
3.045%
乐芭果
2.806%
Nothing
1.845%
Other
3.227%

Best Abilities for Persian-Alola

毛皮大衣
99.996%
胆怯
0.004%
技术高手
0.000%

Best EV Spreads for Persian-Alola

爽朗
252/
0/
20/
0/
0/
236
40.357%
爽朗
252/
0/
0/
0/
4/
252
23.611%
胆小
252/
0/
0/
0/
4/
252
13.575%
爽朗
252/
4/
0/
0/
0/
252
5.108%
爽朗
252/
0/
4/
0/
0/
252
4.765%
胆小
172/
0/
28/
4/
68/
236
2.933%
Frequently Asked Questions

What are the best moves for Persian-Alola in series7?

The top moves for Persian-Alola in series7 are 击掌奇袭 (99.694%), 抛下狠话 (95.424%), 欺诈 (90.294%), 围攻 (40.719%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Persian-Alola?

Persian-Alola synergizes well with Tapu Fini (48.742%), Landorus (39.996%), Whimsicott (39.202%), Entei (39.122%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Persian-Alola?

The most popular items for Persian-Alola are 文柚果 (42.141%), 防尘护目镜 (23.655%), 洛玫果 (14.799%). The best choice depends on your team composition and strategy.

What ability is best for Persian-Alola?

The most common abilities for Persian-Alola are 毛皮大衣 (99.996%) and 胆怯 (0.004%). The choice often depends on your team's strategy.

What Tera Type should I use on Persian-Alola?

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

What is the best EV spread for Persian-Alola?

The most common EV spread for Persian-Alola is 爽朗 with 252/0/20/0/0/236 (40.357% usage). This build is optimized for the current metagame.

Is Persian-Alola good in series7?

Persian-Alola is currently ranked in the series7 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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