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덩쿠림보

Damage Calculator
Usage Percent
0%
Monthly Rank
#189

Base Stats for 덩쿠림보

HP
100
Atk
100
Def
125
SpA
110
SpD
50
Spe
50

Best Moves for 덩쿠림보

방어
98.930%
분노가루
98.828%
수면가루
95.108%
에너지볼
92.221%
Other
14.913%

Best Teammates for 덩쿠림보

Best Items for 덩쿠림보

기합의띠
98.662%
Other
1.338%

Best Abilities for 덩쿠림보

엽록소
99.253%
재생력
0.747%
리프가드
0.000%

Best EV Spreads for 덩쿠림보

겁쟁이
252/
0/
0/
4/
0/
252
92.221%
조심
156/
0/
0/
252/
0/
100
3.777%

Type Matchups for 덩쿠림보

Weak
Fire 2x Ice 2x Poison 2x Flying 2x Bug 2x
Resist
Water 1/2x Electric 1/2x Grass 1/2x Ground 1/2x
Immune
None
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Frequently Asked Questions

What are the best moves for 덩쿠림보 in VGC 2022 Series 12?

The top moves for 덩쿠림보 in VGC 2022 Series 12 are 방어 (98.930%), 분노가루 (98.828%), 수면가루 (95.108%), 에너지볼 (92.221%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 덩쿠림보?

덩쿠림보 synergizes well with Groudon (98.807%), Incineroar (94.467%), Regieleki (65.847%), Calyrex-Shadow (65.674%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 덩쿠림보?

The most popular items for 덩쿠림보 are 기합의띠 (98.662%), Other (1.338%). The best choice depends on your team composition and strategy.

What ability is best for 덩쿠림보?

The most common abilities for 덩쿠림보 are 엽록소 (99.253%) and 재생력 (0.747%). The choice often depends on your team's strategy.

What Tera Type should I use on 덩쿠림보?

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

What is the best EV spread for 덩쿠림보?

The most common EV spread for 덩쿠림보 is 겁쟁이 with 252/0/0/4/0/252 (92.221% usage). This build is optimized for the current metagame.

What is 덩쿠림보 weak to and resistant against?

덩쿠림보 is weak to Fire (2x), Ice (2x), Poison (2x), Flying (2x), Bug (2x), resists Water (1/2x), Electric (1/2x), Grass (1/2x), Ground (1/2x), and is immune to no attacking types.

Is 덩쿠림보 good in VGC 2022 Series 12?

덩쿠림보 is currently ranked in the VGC 2022 Series 12 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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