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厄诡椪

Damage Calculator
Usage Percent
0%
Monthly Rank
#168

Base Stats for 厄诡椪

HP
80
Atk
120
Def
84
SpA
60
SpD
96
Spe
110

Best Moves for 厄诡椪

急速折返
93.313%
棘藤棒
89.398%
拍落
88.067%
嬉闹
85.707%
木角
11.521%
木槌
8.017%
踢倒
7.940%
Other
16.036%

Best Teammates for 厄诡椪

Best Items for 厄诡椪

讲究头带
84.906%
讲究围巾
8.012%
吃剩的东西
2.747%
Other
4.336%

Best Abilities for 厄诡椪

不服输
100.000%

Best EV Spreads for 厄诡椪

爽朗
0/
252/
0/
0/
4/
252
92.848%
爽朗
248/
8/
0/
0/
0/
252
2.422%

Type Matchups for 厄诡椪

Weak
Fire 2x Ice 2x Poison 2x Flying 2x Bug 2x
Resist
Water 1/2x Electric 1/2x Grass 1/2x Ground 1/2x
Immune
None
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Frequently Asked Questions

What are the best moves for 厄诡椪 in Gen 9 Ubers?

The top moves for 厄诡椪 in Gen 9 Ubers are 急速折返 (93.313%), 棘藤棒 (89.398%), 拍落 (88.067%), 嬉闹 (85.707%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 厄诡椪?

厄诡椪 synergizes well with Great Tusk (75.123%), Ho-Oh (74.833%), Iron Bundle (74.833%), Mewtwo (69.434%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 厄诡椪?

The most popular items for 厄诡椪 are 讲究头带 (84.906%), 讲究围巾 (8.012%), 吃剩的东西 (2.747%). The best choice depends on your team composition and strategy.

What ability is best for 厄诡椪?

The most common abilities for 厄诡椪 are 不服输 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 厄诡椪?

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

What is the best EV spread for 厄诡椪?

The most common EV spread for 厄诡椪 is 爽朗 with 0/252/0/0/4/252 (92.848% usage). This build is optimized for the current metagame.

What is 厄诡椪 weak to and resistant against?

厄诡椪 is weak to Fire (2x), Ice (2x), Poison (2x), Flying (2x), Bug (2x), resists Water (1/2x), Electric (1/2x), Grass (1/2x), Ground (1/2x), and is immune to no attacking types.

Is 厄诡椪 good in Gen 9 Ubers?

厄诡椪 is currently ranked in the Gen 9 Ubers 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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