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멜리시

Damage Calculator
Usage Percent
0%
Monthly Rank
#132

Base Stats for 멜리시

HP
50
Atk
50
Def
150
SpA
50
SpD
150
Spe
50

Best Moves for 멜리시

트릭룸
99.516%
죽기살기
83.902%
문포스
66.819%
방어
53.757%
가드셰어
32.418%
미스트필드
29.791%
바디프레스
16.857%
Other
16.941%

Best Teammates for 멜리시

Best Items for 멜리시

파워웨이트
53.342%
검은철구
29.769%
유루열매
13.476%
Other
3.413%

Best Abilities for 멜리시

옹골참
86.171%
클리어바디
13.829%

Best EV Spreads for 멜리시

냉정
0/
0/
0/
252/
0/
0
53.106%
건방
252/
0/
4/
0/
252/
0
29.769%
무사태평
252/
0/
252/
0/
0/
0
13.476%

Type Matchups for 멜리시

Weak
Steel 4x Water 2x Grass 2x Ground 2x
Resist
Normal 1/2x Fire 1/2x Flying 1/2x Bug 1/2x Dark 1/2x
Immune
Dragon 0x
Frequently Asked Questions

What are the best moves for 멜리시 in SV?

The top moves for 멜리시 in SV are 트릭룸 (99.516%), 죽기살기 (83.902%), 문포스 (66.819%), 방어 (53.757%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 멜리시?

멜리시 synergizes well with Calyrex-Shadow (85.820%), Kyogre (84.968%), Flamigo (83.112%), Smeargle (83.111%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 멜리시?

The most popular items for 멜리시 are 파워웨이트 (53.342%), 검은철구 (29.769%), 유루열매 (13.476%). The best choice depends on your team composition and strategy.

What ability is best for 멜리시?

The most common abilities for 멜리시 are 옹골참 (86.171%) and 클리어바디 (13.829%). The choice often depends on your team's strategy.

What Tera Type should I use on 멜리시?

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

What is the best EV spread for 멜리시?

The most common EV spread for 멜리시 is 냉정 with 0/0/0/252/0/0 (53.106% usage). This build is optimized for the current metagame.

What is 멜리시 weak to and resistant against?

멜리시 is weak to Steel (4x), Water (2x), Grass (2x), Ground (2x), resists Normal (1/2x), Fire (1/2x), Flying (1/2x), Bug (1/2x), Dark (1/2x), and is immune to Dragon (0x).

Is 멜리시 good in SV?

멜리시 is currently ranked in the SV 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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