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玛狃拉

darkice Damage Calculator
Usage Percent
2%
Monthly Rank
#68

Base Stats for Weavile

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

Best Moves for Weavile

拍落
dark
95.229%
冰柱坠击
ice
93.613%
冰砾
ice
82.292%
追打
dark
73.957%
踢倒
fighting
13.296%
剑舞
normal
8.651%
挖洞
ground
8.353%
欺诈
dark
4.979%
Other
19.630%

Best Teammates for Weavile

Best Items for Weavile

讲究头带
66.811%
地面Ｚ
8.352%
生命宝珠
8.012%
讲究围巾
5.586%
气势披带
4.931%
冰Ｚ
3.233%
Other
3.075%

Best Abilities for Weavile

压迫感
74.370%
顺手牵羊
25.630%

Best EV Spreads for Weavile

爽朗
0/
252/
0/
0/
4/
252
68.259%
爽朗
0/
252/
4/
0/
0/
252
15.670%
爽朗
4/
252/
0/
0/
0/
252
10.359%
固执
0/
252/
0/
0/
4/
252
2.616%
Frequently Asked Questions

What are the best moves for 玛狃拉 in OU?

The top moves for 玛狃拉 in OU are 拍落 (95.229%), 冰柱坠击 (93.613%), 冰砾 (82.292%), 追打 (73.957%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 玛狃拉?

玛狃拉 synergizes well with Landorus-Therian (43.448%), Heatran (26.695%), Tapu Fini (25.175%), Scizor-Mega (19.178%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 玛狃拉?

The most popular items for 玛狃拉 are 讲究头带 (66.811%), 地面Ｚ (8.352%), 生命宝珠 (8.012%). The best choice depends on your team composition and strategy.

What ability is best for 玛狃拉?

The most common abilities for 玛狃拉 are 压迫感 (74.370%) and 顺手牵羊 (25.630%). The choice often depends on your team's strategy.

What Tera Type should I use on 玛狃拉?

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

What is the best EV spread for 玛狃拉?

The most common EV spread for 玛狃拉 is 爽朗 with 0/252/0/0/4/252 (68.259% usage). This build is optimized for the current metagame.

Is 玛狃拉 good in OU?

玛狃拉 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.





Champions Tournaments VGC 2026 Reg I
Cutoff numbers refer to Glicko ratings on Pokemon Showdown. Choosing a cutoff displays the weighted usage stats for this ranking.
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