Snibunna

darkice Damage Calculator
Usage Percent
3%
Monthly Rank
#24

Base Stats for Weavile

HP
70
Atk
120
Def
65
SpA
45
SpD
85
Spe
125

Best Moves for Weavile

Mogelhieb
normal
99.496%
Abschlag
dark
97.246%
Eiszapfhagel
ice
82.426%
Offenlegung
normal
46.562%
Eishieb
ice
15.473%
Schutzschild
normal
11.988%
Eissplitter
ice
11.862%
Fußkick
fighting
11.373%
Übernahme
dark
11.237%
Other
12.335%

Best Items for Weavile

Leben-Orb
53.129%
Fokusgurt
39.290%
Expertengurt
2.305%
Other
3.948%

Best Abilities for Weavile

Erzwinger
78.808%
Langfinger
21.192%

Best EV Spreads for Weavile

Froh
4/
252/
0/
0/
0/
252
55.834%
Froh
0/
252/
0/
0/
4/
252
30.359%
Froh
0/
252/
4/
0/
0/
252
8.087%
Froh
36/
252/
0/
0/
0/
220
1.293%
Frequently Asked Questions

What are the best moves for Snibunna in VGC 16?

The top moves for Snibunna in VGC 16 are Mogelhieb (99.496%), Abschlag (97.246%), Eiszapfhagel (82.426%), Offenlegung (46.562%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Snibunna?

Snibunna synergizes well with Kyogre-Primal (50.933%), Bronzong (37.669%), Rayquaza-Mega (28.063%), Ferrothorn (23.703%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Snibunna?

The most popular items for Snibunna are Leben-Orb (53.129%), Fokusgurt (39.290%), Expertengurt (2.305%). The best choice depends on your team composition and strategy.

What ability is best for Snibunna?

The most common abilities for Snibunna are Erzwinger (78.808%) and Langfinger (21.192%). The choice often depends on your team's strategy.

What Tera Type should I use on Snibunna?

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

What is the best EV spread for Snibunna?

The most common EV spread for Snibunna is Froh with 4/252/0/0/0/252 (55.834% usage). This build is optimized for the current metagame.

Is Snibunna good in VGC 16?

Snibunna is currently ranked in the VGC 16 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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