メタモン

Damage Calculator
Usage Percent
5%
Monthly Rank
#31

Base Stats for メタモン

HP
48
Atk
48
Def
48
SpA
48
SpD
48
Spe
48

Best Moves for メタモン

Nothing
100.000%
へんしん
100.000%

Best Items for メタモン

きあいのタスキ
85.262%
こだわりスカーフ
8.072%
Covert Cloak
2.934%
Other
3.732%

Best Abilities for メタモン

かわりもの
99.965%
じゅうなん
0.035%

Best EV Spreads for メタモン

ようき
252/
0/
4/
0/
0/
252
39.808%
のんき
252/
0/
252/
0/
4/
0
30.540%
ようき
4/
0/
252/
0/
0/
252
10.204%
おくびょう
252/
0/
0/
0/
4/
252
4.662%
ようき
252/
4/
4/
0/
4/
244
2.021%
わんぱく
252/
0/
252/
0/
0/
4
1.480%

Type Matchups for メタモン

Weak
Fighting 2x
Resist
None
Immune
Ghost 0x
Frequently Asked Questions

What are the best moves for メタモン in VGC 2025 Regulation Set I?

The top moves for メタモン in VGC 2025 Regulation Set I are Nothing (300.000%), へんしん (100.000%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for メタモン?

メタモン synergizes well with Miraidon (50.075%), Incineroar (46.796%), Calyrex-Shadow (45.598%), Grimmsnarl (43.016%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on メタモン?

The most popular items for メタモン are きあいのタスキ (85.262%), こだわりスカーフ (8.072%), Covert Cloak (2.934%). The best choice depends on your team composition and strategy.

What ability is best for メタモン?

The most common abilities for メタモン are かわりもの (99.965%) and じゅうなん (0.035%). The choice often depends on your team's strategy.

What Tera Type should I use on メタモン?

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

What is the best EV spread for メタモン?

The most common EV spread for メタモン is ようき with 252/0/4/0/0/252 (39.808% usage). This build is optimized for the current metagame.

What is メタモン weak to and resistant against?

メタモン is weak to Fighting (2x), resists no attacking types, and is immune to Ghost (0x).

Is メタモン good in VGC 2025 Regulation Set I?

メタモン is currently ranked in the VGC 2025 Regulation Set I 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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