LéViator

Damage Calculator
Usage Percent
3%
Monthly Rank
#45

Base Stats for LéViator

HP
95
Atk
125
Def
79
SpA
60
SpD
100
Spe
81

Best Moves for LéViator

Cascade
99.972%
Danse Draco
86.738%
Rebond
72.271%
Clonage
71.881%
Crocs Givre
21.530%
Séisme
17.739%
Frustration
11.956%
Other
17.913%

Best Items for LéViator

Restes
83.430%
Bandeau Choix
11.966%
Other
4.603%

Best Abilities for LéViator

Intimidation
73.272%
Impudence
26.728%

Best EV Spreads for LéViator

Jovial
0/
252/
0/
0/
4/
252
49.685%
Jovial
88/
252/
0/
0/
0/
168
23.209%
Rigide
0/
252/
4/
0/
0/
252
8.580%
Jovial
88/
248/
0/
0/
0/
172
3.657%
Rigide
40/
252/
0/
0/
0/
216
2.991%
Rigide
0/
220/
40/
0/
0/
248
2.483%
Frequently Asked Questions

What are the best moves for Léviator in Gen 5 OverUsed?

The top moves for Léviator in Gen 5 OverUsed are Cascade (99.972%), Danse Draco (86.738%), Rebond (72.271%), Clonage (71.881%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Léviator?

Léviator synergizes well with Dragonite (49.225%), Gengar (49.082%), Alakazam (49.001%), Excadrill (34.882%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Léviator?

The most popular items for Léviator are Restes (83.430%), Bandeau Choix (11.966%), Other (4.603%). The best choice depends on your team composition and strategy.

What ability is best for Léviator?

The most common abilities for Léviator are Intimidation (73.272%) and Impudence (26.728%). The choice often depends on your team's strategy.

What Tera Type should I use on Léviator?

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

What is the best EV spread for Léviator?

The most common EV spread for Léviator is Jovial with 0/252/0/0/4/252 (49.685% usage). This build is optimized for the current metagame.

Is Léviator good in Gen 5 OverUsed?

Léviator is currently ranked in the Gen 5 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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