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古空棘鱼

Damage Calculator
Usage Percent
0%
Monthly Rank
#123

Base Stats for 古空棘鱼

HP
100
Atk
90
Def
130
SpA
45
SpD
65
Spe
55

Best Moves for 古空棘鱼

双刃头锤
99.494%
守住
96.891%
岩崩
78.338%
水流尾
75.092%
攀瀑
24.908%
重踏
19.244%
Other
6.032%

Best Items for 古空棘鱼

水Z
75.091%
岩石Z
21.796%
Other
3.112%

Best Abilities for 古空棘鱼

悠游自如
99.995%
坚硬脑袋
0.005%
结实
0.000%

Best EV Spreads for 古空棘鱼

固执
4/
252/
0/
0/
0/
252
75.745%
固执
0/
252/
0/
0/
36/
220
19.244%
爽朗
4/
252/
0/
0/
0/
252
2.043%

Type Matchups for 古空棘鱼

Weak
Grass 4x Electric 2x Fighting 2x Ground 2x
Resist
Fire 1/4x Normal 1/2x Ice 1/2x Poison 1/2x Flying 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 古空棘鱼 in VGC 17?

The top moves for 古空棘鱼 in VGC 17 are 双刃头锤 (99.494%), 守住 (96.891%), 岩崩 (78.338%), 水流尾 (75.092%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 古空棘鱼?

古空棘鱼 synergizes well with Pelipper (99.999%), Lilligant (75.455%), Torkoal (75.455%), Hariyama (75.086%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 古空棘鱼?

The most popular items for 古空棘鱼 are 水Z (75.091%), 岩石Z (21.796%), Other (3.112%). The best choice depends on your team composition and strategy.

What ability is best for 古空棘鱼?

The most common abilities for 古空棘鱼 are 悠游自如 (99.995%) and 坚硬脑袋 (0.005%). The choice often depends on your team's strategy.

What Tera Type should I use on 古空棘鱼?

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

What is the best EV spread for 古空棘鱼?

The most common EV spread for 古空棘鱼 is 固执 with 4/252/0/0/0/252 (75.745% usage). This build is optimized for the current metagame.

What is 古空棘鱼 weak to and resistant against?

古空棘鱼 is weak to Grass (4x), Electric (2x), Fighting (2x), Ground (2x), resists Fire (1/4x), Normal (1/2x), Ice (1/2x), Poison (1/2x), Flying (1/2x), and is immune to no attacking types.

Is 古空棘鱼 good in VGC 17?

古空棘鱼 is currently ranked in the VGC 17 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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