✖

ピジョット

normalflying Damage Calculator
Usage Percent
0%
Monthly Rank
#177

Base Stats for Pidgeot-Mega

HP
83
Atk
80
Def
80
SpA
135
SpD
80
Spe
121

Best Moves for Pidgeot-Mega

ぼうふう
flying
99.178%
ねっぷう
fire
96.193%
はねやすめ
flying
62.572%
とんぼがえり
bug
44.100%
Hidden Power Ground
ground
36.214%
きりばらい
flying
16.269%
Hidden Power Ice
ice
11.952%
おいかぜ
flying
8.563%
はかいこうせん
normal
6.369%
Other
18.590%

Best Teammates for Pidgeot-Mega

Best Items for Pidgeot-Mega

ピジョットナイト
100.000%

Best Abilities for Pidgeot-Mega

ノーガード
100.000%

Best EV Spreads for Pidgeot-Mega

おくびょう
0/
0/
0/
252/
4/
252
53.333%
おくびょう
0/
0/
4/
252/
0/
252
18.841%
おくびょう
0/
0/
0/
252/
0/
252
10.670%
おくびょう
4/
0/
0/
252/
0/
252
5.935%
おくびょう
252/
0/
0/
4/
0/
252
4.871%
ひかえめ
4/
0/
0/
252/
0/
252
2.829%
Frequently Asked Questions

What are the best moves for Pidgeot-Mega in ou?

The top moves for Pidgeot-Mega in ou are ぼうふう (99.178%), ねっぷう (96.193%), はねやすめ (62.572%), とんぼがえり (44.100%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Pidgeot-Mega?

Pidgeot-Mega synergizes well with Snorlax (19.081%), Tapu Bulu (16.172%), Azumarill (12.703%), Kommo-o (12.183%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Pidgeot-Mega?

The most popular items for Pidgeot-Mega are ピジョットナイト (100.000%). The best choice depends on your team composition and strategy.

What ability is best for Pidgeot-Mega?

The most common abilities for Pidgeot-Mega are ノーガード (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Pidgeot-Mega?

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

What is the best EV spread for Pidgeot-Mega?

The most common EV spread for Pidgeot-Mega is おくびょう with 0/0/0/252/4/252 (53.333% usage). This build is optimized for the current metagame.

Is Pidgeot-Mega good in ou?

Pidgeot-Mega 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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