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마그마

Damage Calculator
Usage Percent
0%
Monthly Rank
#53

Base Stats for 마그마

HP
65
Atk
95
Def
57
SpA
100
SpD
85
Spe
93

Best Moves for 마그마

불대문자
99.994%
Hidden Power Grass
99.947%
크로스촙
72.813%
쾌청
72.809%
번개펀치
27.237%
사이코키네시스
27.186%

Best Teammates for 마그마

Best Items for 마그마

먹다남은음식
72.813%
목탄
27.186%
Other
0.002%

Best Abilities for 마그마

No Ability
100.000%

Best EV Spreads for 마그마

노력
252/
252/
252/
252/
252/
252
100.000%

Type Matchups for 마그마

Weak
Water 2x Ground 2x Rock 2x
Resist
Fire 1/2x Grass 1/2x Ice 1/2x Bug 1/2x Steel 1/2x Fairy 1/2x
Immune
None
Frequently Asked Questions

What are the best moves for 마그마 in Gen 2 OverUsed?

The top moves for 마그마 in Gen 2 OverUsed are 불대문자 (99.994%), Hidden Power Grass (99.947%), 크로스촙 (72.813%), 쾌청 (72.809%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for 마그마?

마그마 synergizes well with Snorlax (67.587%), Cloyster (67.583%), Exeggutor (67.583%), Raikou (67.583%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on 마그마?

The most popular items for 마그마 are 먹다남은음식 (72.813%), 목탄 (27.186%), Other (0.002%). The best choice depends on your team composition and strategy.

What ability is best for 마그마?

The most common abilities for 마그마 are No Ability (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on 마그마?

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

What is the best EV spread for 마그마?

The most common EV spread for 마그마 is 노력 with 252/252/252/252/252/252 (100.000% usage). This build is optimized for the current metagame.

What is 마그마 weak to and resistant against?

마그마 is weak to Water (2x), Ground (2x), Rock (2x), resists Fire (1/2x), Grass (1/2x), Ice (1/2x), Bug (1/2x), Steel (1/2x), Fairy (1/2x), and is immune to no attacking types.

Is 마그마 good in Gen 2 OverUsed?

마그마 is currently ranked in the Gen 2 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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