猫老大

dark Damage Calculator
Usage Percent
0%
Monthly Rank
#73

Base Stats for Persian-Alola

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

Best Moves for Persian-Alola

欺诈
dark
99.886%
抛下狠话
dark
89.951%
击掌奇袭
normal
87.187%
挑衅
dark
47.646%
冰冻之风
ice
40.696%
守住
normal
17.103%
Other
17.531%

Best Items for Persian-Alola

气势披带
45.845%
洛玫果
12.872%
黑色眼镜
10.328%
突击背心
9.985%
恶Z
8.909%
芭亚果
5.418%
芒芒果
2.689%
Other
3.953%

Best Abilities for Persian-Alola

毛皮大衣
99.963%
技术高手
0.037%
胆怯
0.000%

Best EV Spreads for Persian-Alola

胆小
252/
0/
4/
0/
0/
252
16.323%
胆小
252/
0/
0/
0/
4/
252
13.302%
爽朗
252/
4/
0/
0/
0/
252
13.187%
爽朗
244/
4/
4/
0/
4/
252
10.724%
爽朗
252/
0/
4/
0/
0/
252
9.954%
胆小
196/
0/
60/
0/
0/
252
6.794%
Frequently Asked Questions

What are the best moves for Persian-Alola in vgc2019pgl?

The top moves for Persian-Alola in vgc2019pgl are 欺诈 (99.886%), 抛下狠话 (89.951%), 击掌奇袭 (87.187%), 挑衅 (47.646%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Persian-Alola?

Persian-Alola synergizes well with Rayquaza-Mega (42.909%), Kyogre-Primal (33.651%), Necrozma-Dusk-Mane (21.068%), Kartana (19.054%). 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 气势披带 (45.845%), 洛玫果 (12.872%), 黑色眼镜 (10.328%). 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 (99.963%) and 技术高手 (0.037%). 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 胆小 with 252/0/4/0/0/252 (16.323% usage). This build is optimized for the current metagame.

Is Persian-Alola good in vgc2019pgl?

Persian-Alola is currently ranked in the vgc2019pgl 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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