Mamoswine

iceground Damage Calculator
Usage Percent
1%
Monthly Rank
#93

Base Stats for Mamoswine

HP
110
Atk
130
Def
80
SpA
70
SpD
60
Spe
80

Best Moves for Mamoswine

Terremoto
ground
99.978%
Geloscheggia
ice
99.908%
Scagliagelo
ice
59.846%
Gelolancia
ice
39.907%
Rocciotomba
rock
37.131%
Levitoroccia
rock
29.639%
Privazione
dark
28.866%
Other
4.725%

Best Items for Mamoswine

Corpetto assalto
37.153%
Gelomai
25.348%
Focalnastro
18.985%
Bendascelta
13.989%
Other
4.525%

Best Abilities for Mamoswine

Grassospesso
99.580%
Indifferenza
0.420%

Best EV Spreads for Mamoswine

Allegra
0/
252/
0/
0/
4/
252
38.634%
Decisa
252/
252/
0/
0/
4/
0
37.133%
Decisa
0/
252/
0/
0/
4/
252
17.475%
Allegra
4/
252/
0/
0/
0/
252
2.969%
Frequently Asked Questions

What are the best moves for Mamoswine in xy?

The top moves for Mamoswine in xy are Terremoto (99.978%), Geloscheggia (99.908%), Scagliagelo (59.846%), Gelolancia (39.907%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Mamoswine?

Mamoswine synergizes well with Bisharp (49.904%), Thundurus (36.230%), Charizard-Mega-Y (35.808%), Latias (35.492%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Mamoswine?

The most popular items for Mamoswine are Corpetto assalto (37.153%), Gelomai (25.348%), Focalnastro (18.985%). The best choice depends on your team composition and strategy.

What ability is best for Mamoswine?

The most common abilities for Mamoswine are Grassospesso (99.580%) and Indifferenza (0.420%). The choice often depends on your team's strategy.

What Tera Type should I use on Mamoswine?

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

What is the best EV spread for Mamoswine?

The most common EV spread for Mamoswine is Allegra with 0/252/0/0/4/252 (38.634% usage). This build is optimized for the current metagame.

Is Mamoswine good in xy?

Mamoswine is currently ranked in the xy 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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