✖

ペルシアン

dark Damage Calculator
Usage Percent
1%
Monthly Rank
#131

Base Stats for Persian-Alola

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

Best Moves for Persian-Alola

すてゼリフ
dark
98.984%
イカサマ
dark
96.936%
ちょうはつ
dark
62.001%
ねこだまし
normal
45.312%
すりかえ
dark
33.947%
とんぼがえり
bug
33.434%
どくどく
poison
17.595%
Other
11.790%

Best Teammates for Persian-Alola

Best Items for Persian-Alola

アクＺ
63.130%
こだわりスカーフ
33.892%
Other
2.978%

Best Abilities for Persian-Alola

ファーコート
99.809%
びびり
0.176%
テクニシャン
0.015%

Best EV Spreads for Persian-Alola

ようき
252/
0/
40/
0/
0/
216
43.531%
わんぱく
4/
0/
252/
0/
0/
252
32.755%
ようき
252/
0/
0/
0/
4/
252
9.554%
ようき
252/
0/
4/
0/
0/
252
6.187%
おくびょう
0/
0/
0/
252/
4/
252
2.616%
おくびょう
248/
0/
44/
0/
0/
216
1.367%
Frequently Asked Questions

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

The top moves for Persian-Alola in ou are すてゼリフ (98.984%), イカサマ (96.936%), ちょうはつ (62.001%), ねこだまし (45.312%). 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 (43.337%), Excadrill (42.807%), Raikou (42.534%), Buzzwole (42.447%). 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 アクＺ (63.130%), こだわりスカーフ (33.892%), Other (2.978%). 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 ファーコート (99.809%) and びびり (0.176%). 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 ようき with 252/0/40/0/0/216 (43.531% usage). This build is optimized for the current metagame.

Is Persian-Alola good in ou?

Persian-Alola is currently ranked in the ou 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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