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鬃岩狼人

Damage Calculator
Usage Percent
0%
Monthly Rank
#182

Base Stats for 鬃岩狼人

HP
75
Atk
117
Def
65
SpA
55
SpD
65
Spe
110

Best Moves for 鬃岩狼人

守住
98.866%
尖石攻击
90.849%
火焰牙
80.569%
咬碎
63.396%
冲岩
45.790%
突袭
8.497%
Other
12.034%

Best Items for 鬃岩狼人

鬃岩狼人Z
90.705%
岩石Z
8.161%
Other
1.134%

Best Abilities for 鬃岩狼人

硬爪
100.000%

Best EV Spreads for 鬃岩狼人

爽朗
0/
252/
0/
0/
4/
252
89.267%
爽朗
4/
252/
0/
0/
0/
252
9.876%

Type Matchups for 鬃岩狼人

Weak
Water 2x Grass 2x Fighting 2x Ground 2x Steel 2x
Resist
Normal 1/2x Fire 1/2x Poison 1/2x Flying 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 鬃岩狼人 in VGC 19 Moon Series?

The top moves for 鬃岩狼人 in VGC 19 Moon Series are 守住 (98.866%), 尖石攻击 (90.849%), 火焰牙 (80.569%), 咬碎 (63.396%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 鬃岩狼人?

鬃岩狼人 synergizes well with Incineroar (97.860%), Groudon (81.939%), Yveltal (80.567%), Stakataka (80.378%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 鬃岩狼人?

The most popular items for 鬃岩狼人 are 鬃岩狼人Z (90.705%), 岩石Z (8.161%), Other (1.134%). The best choice depends on your team composition and strategy.

What ability is best for 鬃岩狼人?

The most common abilities for 鬃岩狼人 are 硬爪 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 鬃岩狼人?

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

What is the best EV spread for 鬃岩狼人?

The most common EV spread for 鬃岩狼人 is 爽朗 with 0/252/0/0/4/252 (89.267% usage). This build is optimized for the current metagame.

What is 鬃岩狼人 weak to and resistant against?

鬃岩狼人 is weak to Water (2x), Grass (2x), Fighting (2x), Ground (2x), Steel (2x), resists Normal (1/2x), Fire (1/2x), Poison (1/2x), Flying (1/2x), and is immune to no attacking types.

Is 鬃岩狼人 good in VGC 19 Moon Series?

鬃岩狼人 is currently ranked in the VGC 19 Moon Series 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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