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仙子伊布

Damage Calculator
Usage Percent
0%
Monthly Rank
#110

Base Stats for 仙子伊布

HP
95
Atk
65
Def
65
SpA
110
SpD
130
Spe
60

Best Moves for 仙子伊布

巨声
99.559%
太晶爆发
61.875%
守住
44.839%
破坏光线
42.014%
电光一闪
41.703%
冥想
25.174%
暗影球
20.064%
祈愿
13.334%
精神强念
9.682%
月亮之力
7.251%
哈欠
6.492%
吸取之吻
5.006%
看穿
3.569%
Other
19.437%

Best Teammates for 仙子伊布

Best Items for 仙子伊布

讲究眼镜
46.770%
吃剩的东西
19.052%
爽喉喷雾
17.267%
妖精之羽
11.379%
生命宝珠
1.459%
Other
4.073%

Best Abilities for 仙子伊布

妖精皮肤
99.971%
迷人之躯
0.029%

Best EV Spreads for 仙子伊布

内敛
48/
0/
20/
252/
0/
188
30.833%
悠闲
252/
0/
252/
4/
0/
0
9.289%
冷静
252/
0/
0/
252/
4/
0
5.712%
内敛
252/
0/
0/
252/
4/
0
5.258%
内敛
0/
0/
252/
252/
4/
0
4.890%
温和
252/
0/
4/
232/
20/
0
4.647%
Frequently Asked Questions

What are the best moves for 仙子伊布 in Gen 9 Doubles OU Scarlet & Violet?

The top moves for 仙子伊布 in Gen 9 Doubles OU Scarlet & Violet are 巨声 (99.559%), 太晶爆发 (61.875%), 守住 (44.839%), 破坏光线 (42.014%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 仙子伊布?

仙子伊布 synergizes well with Farigiraf (54.265%), Incineroar (50.963%), Ogerpon-Wellspring (34.505%), Roaring Moon (33.825%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 仙子伊布?

The most popular items for 仙子伊布 are 讲究眼镜 (46.770%), 吃剩的东西 (19.052%), 爽喉喷雾 (17.267%). The best choice depends on your team composition and strategy.

What ability is best for 仙子伊布?

The most common abilities for 仙子伊布 are 妖精皮肤 (99.971%) and 迷人之躯 (0.029%). The choice often depends on your team's strategy.

What Tera Type should I use on 仙子伊布?

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

What is the best EV spread for 仙子伊布?

The most common EV spread for 仙子伊布 is 内敛 with 48/0/20/252/0/188 (30.833% usage). This build is optimized for the current metagame.

Is 仙子伊布 good in Gen 9 Doubles OU Scarlet & Violet?

仙子伊布 is currently ranked in the Gen 9 Doubles OU Scarlet & Violet 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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