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대짱이

Damage Calculator
Usage Percent
3%
Monthly Rank
#41

Base Stats for 대짱이

HP
100
Atk
110
Def
90
SpA
85
SpD
90
Spe
60

Best Moves for 대짱이

퀵턴
99.990%
지진
94.371%
잠자기
70.370%
스텔스록
43.666%
엄청난힘
26.858%
맹독
22.615%
잠꼬대
18.858%
하품
17.440%
Other
5.832%

Best Teammates for 대짱이

Best Items for 대짱이

먹다남은음식
99.992%
Other
0.008%

Best Abilities for 대짱이

습기
65.607%
급류
34.393%

Best EV Spreads for 대짱이

신중
236/
0/
116/
0/
148/
8
37.055%
명랑
44/
236/
0/
0/
12/
216
18.093%
건방
252/
0/
4/
0/
252/
0
16.535%
건방
252/
4/
0/
0/
252/
0
12.895%
명랑
44/
172/
0/
0/
76/
216
4.222%
신중
236/
0/
12/
0/
252/
8
3.256%

Type Matchups for 대짱이

Weak
Grass 4x
Resist
Fire 1/2x Poison 1/2x Rock 1/2x Steel 1/2x
Immune
Electric 0x
Frequently Asked Questions

What are the best moves for 대짱이 in OverUsed?

The top moves for 대짱이 in OverUsed are 퀵턴 (99.990%), 지진 (94.371%), 잠자기 (70.370%), 스텔스록 (43.666%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 대짱이?

대짱이 synergizes well with Corviknight (69.850%), Toxapex (68.202%), Buzzwole (68.179%), Slowking (68.179%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 대짱이?

The most popular items for 대짱이 are 먹다남은음식 (99.992%), Other (0.008%). The best choice depends on your team composition and strategy.

What ability is best for 대짱이?

The most common abilities for 대짱이 are 습기 (65.607%) and 급류 (34.393%). The choice often depends on your team's strategy.

What Tera Type should I use on 대짱이?

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

What is the best EV spread for 대짱이?

The most common EV spread for 대짱이 is 신중 with 236/0/116/0/148/8 (37.055% usage). This build is optimized for the current metagame.

What is 대짱이 weak to and resistant against?

대짱이 is weak to Grass (4x), resists Fire (1/2x), Poison (1/2x), Rock (1/2x), Steel (1/2x), and is immune to Electric (0x).

Is 대짱이 good in OverUsed?

대짱이 is currently ranked in the 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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