Weavile

Damage Calculator
Usage Percent
0%
Monthly Rank
#201

Base Stats for Weavile

HP
70
Atk
120
Def
65
SpA
45
SpD
85
Spe
125

Best Moves for Weavile

拍落
60.408%
三旋击
59.756%
冰砾
47.598%
踢倒
40.343%
围攻
35.625%
击掌奇袭
31.718%
剑舞
23.497%
双倍奉还
20.280%
Ice Spinner
18.944%
冰柱坠击
15.970%
燕返
15.453%
暗影爪
11.135%
Other
19.273%

Best Items for Weavile

讲究头带
36.496%
气势披带
22.292%
厚底靴
15.798%
达人带
4.274%
Nothing
3.872%
黑色眼镜
3.697%
生命宝珠
2.905%
广角镜
2.437%
焦点镜
1.720%
讲究围巾
1.225%
吃剩的东西
1.135%
Other
4.149%

Best Abilities for Weavile

压迫感
77.802%
顺手牵羊
22.198%

Best EV Spreads for Weavile

爽朗
0/
252/
0/
0/
4/
252
62.215%
勤奋
0/
252/
0/
0/
0/
252
10.909%
固执
0/
252/
0/
0/
4/
252
6.314%
爽朗
0/
252/
4/
0/
0/
252
4.038%
固执
0/
252/
4/
0/
0/
252
3.706%
爽朗
0/
252/
0/
0/
0/
252
3.586%
Frequently Asked Questions

What are the best moves for Weavile in Gen 7 Ubers?

The top moves for Weavile in Gen 7 Ubers are 拍落 (60.408%), 三旋击 (59.756%), 冰砾 (47.598%), 踢倒 (40.343%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Weavile?

Weavile synergizes well with Kyogre (24.150%), Iron Bundle (22.183%), Dragapult (20.301%), Arceus (17.123%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Weavile?

The most popular items for Weavile are 讲究头带 (36.496%), 气势披带 (22.292%), 厚底靴 (15.798%). The best choice depends on your team composition and strategy.

What ability is best for Weavile?

The most common abilities for Weavile are 压迫感 (77.802%) and 顺手牵羊 (22.198%). The choice often depends on your team's strategy.

What Tera Type should I use on Weavile?

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

What is the best EV spread for Weavile?

The most common EV spread for Weavile is 爽朗 with 0/252/0/0/4/252 (62.215% usage). This build is optimized for the current metagame.

Is Weavile good in Gen 7 Ubers?

Weavile is currently ranked in the Gen 7 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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