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雷丘

Damage Calculator
Usage Percent
0%
Monthly Rank
#125

Base Stats for 雷丘

HP
60
Atk
85
Def
50
SpA
95
SpD
85
Spe
110

Best Moves for 雷丘

电力上升
100.000%
冲浪
83.905%
诡计
56.992%
精神冲击
50.837%
精神强念
49.163%
伏特替换
34.897%
真气弹
15.834%
Other
8.371%

Best Teammates for 雷丘

Best Items for 雷丘

生命宝珠
64.833%
讲究眼镜
34.897%
Other
0.270%

Best Abilities for 雷丘

冲浪之尾
100.000%

Best EV Spreads for 雷丘

内敛
0/
0/
0/
252/
4/
252
50.408%
胆小
0/
0/
0/
252/
4/
252
35.608%
内敛
64/
0/
0/
252/
4/
188
13.321%

Type Matchups for 雷丘

Weak
Ground 2x Bug 2x Ghost 2x Dark 2x
Resist
Electric 1/2x Fighting 1/2x Flying 1/2x Psychic 1/2x Steel 1/2x
Immune
None
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Frequently Asked Questions

What are the best moves for 雷丘 in OverUsed?

The top moves for 雷丘 in OverUsed are 电力上升 (100.000%), 冲浪 (83.905%), 诡计 (56.992%), 精神冲击 (50.837%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 雷丘?

雷丘 synergizes well with Tapu Koko (99.397%), Zapdos (49.163%), Clefable (41.535%), Garchomp (35.502%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 雷丘?

The most popular items for 雷丘 are 生命宝珠 (64.833%), 讲究眼镜 (34.897%), Other (0.270%). The best choice depends on your team composition and strategy.

What ability is best for 雷丘?

The most common abilities for 雷丘 are 冲浪之尾 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 雷丘?

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

What is the best EV spread for 雷丘?

The most common EV spread for 雷丘 is 内敛 with 0/0/0/252/4/252 (50.408% usage). This build is optimized for the current metagame.

What is 雷丘 weak to and resistant against?

雷丘 is weak to Ground (2x), Bug (2x), Ghost (2x), Dark (2x), resists Electric (1/2x), Fighting (1/2x), Flying (1/2x), Psychic (1/2x), Steel (1/2x), and is immune to no attacking types.

Is 雷丘 good in OverUsed?

雷丘 is currently ranked in the OverUsed 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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