猫老大

dark Damage Calculator
Usage Percent
0%
Monthly Rank
#133

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
90.417%
欺诈
dark
87.384%
抛下狠话
dark
63.161%
大声咆哮
dark
43.897%
挑衅
dark
42.156%
假哭
dark
37.526%
冰冻之风
ice
11.941%
妒火
fire
7.528%
Other
15.990%

Best Items for Persian-Alola

洛玫果
30.472%
文柚果
28.008%
吃剩的东西
24.571%
气势披带
7.578%
突击背心
3.096%
芒芒果
2.837%
Other
3.438%

Best Abilities for Persian-Alola

毛皮大衣
99.678%
技术高手
0.304%
胆怯
0.018%

Best EV Spreads for Persian-Alola

爽朗
252/
0/
0/
0/
36/
220
31.440%
胆小
252/
0/
0/
4/
0/
252
25.238%
爽朗
108/
28/
60/
0/
60/
252
7.071%
胆小
132/
0/
116/
0/
36/
220
5.896%
胆小
252/
0/
0/
0/
36/
220
4.429%
胆小
252/
0/
0/
0/
4/
252
3.540%
Frequently Asked Questions

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

The top moves for Persian-Alola in isle are 击掌奇袭 (90.417%), 欺诈 (87.384%), 抛下狠话 (63.161%), 大声咆哮 (43.897%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Persian-Alola?

Persian-Alola synergizes well with Rillaboom (41.412%), Marowak-Alola (32.737%), Lapras (28.157%), Venusaur (24.499%). 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 洛玫果 (30.472%), 文柚果 (28.008%), 吃剩的东西 (24.571%). 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 (99.678%) and 技术高手 (0.304%). 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 252/0/0/0/36/220 (31.440% usage). This build is optimized for the current metagame.

Is Persian-Alola good in isle?

Persian-Alola is currently ranked in the isle 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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