玛狃拉

Damage Calculator
Usage Percent
0%
Monthly Rank
#219

Base Stats for 玛狃拉

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

Best Moves for 玛狃拉

拍落
82.543%
击掌奇袭
70.030%
冰旋
63.763%
冰砾
36.584%
守住
31.404%
三旋击
23.193%
劈瓦
22.172%
深渊突刺
11.060%
踢倒
9.977%
投掷
9.344%
挑衅
8.104%
冰柱坠击
7.262%
冲浪
5.603%
Other
18.963%

Best Items for 玛狃拉

气势披带
67.924%
巨大金珠
7.644%
Clear Amulet
7.349%
厚底靴
2.736%
弱点保险
2.735%
Loaded Dice
2.379%
讲究头带
2.111%
锐利之牙
1.030%
Other
4.476%

Best Abilities for 玛狃拉

压迫感
55.569%
顺手牵羊
44.431%

Best EV Spreads for 玛狃拉

爽朗
0/
252/
0/
0/
4/
252
63.853%
爽朗
4/
252/
0/
0/
0/
252
12.534%
固执
0/
252/
4/
0/
0/
252
7.720%
固执
4/
252/
0/
0/
0/
252
3.672%
勤奋
116/
164/
0/
0/
0/
228
3.173%
爽朗
252/
4/
0/
0/
0/
252
2.221%
Frequently Asked Questions

What are the best moves for 玛狃拉 in Gen 9 Doubles OU Scarlet & Violet?

The top moves for 玛狃拉 in Gen 9 Doubles OU Scarlet & Violet are 拍落 (82.543%), 击掌奇袭 (70.030%), 冰旋 (63.763%), 冰砾 (36.584%). 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 Ceruledge (46.897%), Sinistcha (37.162%), Ogerpon-Cornerstone (28.992%), Haxorus (28.297%). 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 气势披带 (67.924%), 巨大金珠 (7.644%), Clear Amulet (7.349%). 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 (55.569%) and 顺手牵羊 (44.431%). 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 (63.853% usage). This build is optimized for the current metagame.

Is 玛狃拉 good in Gen 9 Doubles OU Scarlet & Violet?

玛狃拉 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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