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다크라이

Damage Calculator
Usage Percent
4%
Monthly Rank
#51

Base Stats for 다크라이

HP
70
Atk
90
Def
90
SpA
135
SpD
90
Spe
125

Best Moves for 다크라이

악의파동
99.987%
냉동빔
86.783%
오물폭탄
44.239%
나쁜음모
37.524%
기합구슬
32.572%
트릭
31.974%
사이코키네시스
26.955%
번개
18.849%
최면술
8.864%
Other
12.253%

Best Teammates for 다크라이

Best Items for 다크라이

구애스카프
43.501%
통굽부츠
31.703%
구애안경
10.999%
로셀열매
4.694%
광각렌즈
4.521%
Other
4.582%

Best Abilities for 다크라이

나이트메어
100.000%

Best EV Spreads for 다크라이

겁쟁이
0/
0/
0/
252/
4/
252
91.324%
겁쟁이
0/
4/
0/
252/
0/
252
3.852%

Type Matchups for 다크라이

Weak
Fighting 2x Bug 2x Fairy 2x
Resist
Ghost 1/2x Dark 1/2x
Immune
Psychic 0x
Frequently Asked Questions

What are the best moves for 다크라이 in Gen 7 Monotype?

The top moves for 다크라이 in Gen 7 Monotype are 악의파동 (99.987%), 냉동빔 (86.783%), 오물폭탄 (44.239%), 나쁜음모 (37.524%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 다크라이?

다크라이 synergizes well with Ting-Lu (84.932%), Meowscarada (83.782%), Mandibuzz (66.153%), Greninja (60.332%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 다크라이?

The most popular items for 다크라이 are 구애스카프 (43.501%), 통굽부츠 (31.703%), 구애안경 (10.999%). The best choice depends on your team composition and strategy.

What ability is best for 다크라이?

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

What Tera Type should I use on 다크라이?

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

What is the best EV spread for 다크라이?

The most common EV spread for 다크라이 is 겁쟁이 with 0/0/0/252/4/252 (91.324% usage). This build is optimized for the current metagame.

What is 다크라이 weak to and resistant against?

다크라이 is weak to Fighting (2x), Bug (2x), Fairy (2x), resists Ghost (1/2x), Dark (1/2x), and is immune to Psychic (0x).

Is 다크라이 good in Gen 7 Monotype?

다크라이 is currently ranked in the Gen 7 Monotype 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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