얼음귀신

Damage Calculator
Usage Percent
0%
Monthly Rank
#59

Base Stats for 얼음귀신

HP
80
Atk
80
Def
80
SpA
80
SpD
80
Spe
80

Best Moves for 얼음귀신

압정뿌리기
99.993%
대폭발
99.946%
냉동빔
56.985%
도발
56.759%
Hidden Power Fighting
42.433%
대타출동
41.397%
Other
2.488%

Best Items for 얼음귀신

캄라열매
92.034%
먹다남은음식
3.347%
Other
4.619%

Best Abilities for 얼음귀신

정신력
100.000%

Best EV Spreads for 얼음귀신

고집
0/
136/
0/
0/
168/
204
39.995%
겁쟁이
252/
0/
0/
0/
56/
200
20.491%
천진난만
248/
8/
0/
0/
0/
252
13.419%
명랑
248/
0/
44/
0/
0/
216
5.427%
겁쟁이
248/
0/
72/
12/
0/
176
5.078%
성급
248/
8/
0/
0/
0/
252
3.249%

Type Matchups for 얼음귀신

Weak
Fire 2x Fighting 2x Rock 2x Steel 2x
Resist
Ice 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 얼음귀신 in Gen 3 OverUsed?

The top moves for 얼음귀신 in Gen 3 OverUsed are 압정뿌리기 (99.993%), 대폭발 (99.946%), 냉동빔 (56.985%), 도발 (56.759%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 얼음귀신?

얼음귀신 synergizes well with Dugtrio (49.549%), Gengar (46.781%), Tyranitar (40.660%), Swampert (38.424%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 얼음귀신?

The most popular items for 얼음귀신 are 캄라열매 (92.034%), 먹다남은음식 (3.347%), Other (4.619%). The best choice depends on your team composition and strategy.

What ability is best for 얼음귀신?

The most common abilities for 얼음귀신 are 정신력 (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 얼음귀신?

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

What is the best EV spread for 얼음귀신?

The most common EV spread for 얼음귀신 is 고집 with 0/136/0/0/168/204 (39.995% usage). This build is optimized for the current metagame.

What is 얼음귀신 weak to and resistant against?

얼음귀신 is weak to Fire (2x), Fighting (2x), Rock (2x), Steel (2x), resists Ice (1/2x), and is immune to no attacking types.

Is 얼음귀신 good in Gen 3 OverUsed?

얼음귀신 is currently ranked in the Gen 3 OverUsed 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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