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메가전룡

Damage Calculator
Usage Percent
0%
Monthly Rank
#48

Base Stats for 메가전룡

HP
90
Atk
95
Def
105
SpA
165
SpD
110
Spe
45

Best Moves for 메가전룡

10만볼트
100.000%
볼트체인지
100.000%
Hidden Power Ice
86.159%
시그널빔
86.159%
용의파동
13.841%
Other
13.841%

Best Teammates for 메가전룡

Best Items for 메가전룡

전룡나이트
100.000%

Best Abilities for 메가전룡

틀깨기
100.000%

Best EV Spreads for 메가전룡

겁쟁이
0/
0/
0/
252/
36/
220
86.159%
조심
4/
0/
0/
252/
0/
252
13.821%

Type Matchups for 메가전룡

Weak
Ice 2x Ground 2x Dragon 2x Fairy 2x
Resist
Electric 1/4x Fire 1/2x Water 1/2x Grass 1/2x Flying 1/2x Steel 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 메가전룡 in Gen 7 RarelyUsed?

The top moves for 메가전룡 in Gen 7 RarelyUsed are 10만볼트 (100.000%), 볼트체인지 (100.000%), Hidden Power Ice (86.159%), 시그널빔 (86.159%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 메가전룡?

메가전룡 synergizes well with Arcanine (86.162%), Araquanid (86.159%), Swellow (86.159%), Yanmega (86.159%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 메가전룡?

The most popular items for 메가전룡 are 전룡나이트 (100.000%). The best choice depends on your team composition and strategy.

What ability is best for 메가전룡?

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

What Tera Type should I use on 메가전룡?

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

What is the best EV spread for 메가전룡?

The most common EV spread for 메가전룡 is 겁쟁이 with 0/0/0/252/36/220 (86.159% usage). This build is optimized for the current metagame.

What is 메가전룡 weak to and resistant against?

메가전룡 is weak to Ice (2x), Ground (2x), Dragon (2x), Fairy (2x), resists Electric (1/4x), Fire (1/2x), Water (1/2x), Grass (1/2x), Flying (1/2x), Steel (1/2x), and is immune to no attacking types.

Is 메가전룡 good in Gen 7 RarelyUsed?

메가전룡 is currently ranked in the Gen 7 RarelyUsed 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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