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Schlapor

normalfighting Damage Calculator
Usage Percent
0%
Monthly Rank
#98

Base Stats for Lopunny-Mega

HP
65
Atk
136
Def
94
SpA
54
SpD
96
Spe
135

Best Moves for Lopunny-Mega

Rückkehr
normal
84.047%
Fußkick
fighting
73.948%
Mogelhieb
normal
63.275%
Eishieb
ice
43.391%
Taumeltanz
normal
40.000%
Zugabe
normal
27.283%
Rechte Hand
normal
16.306%
Turmkick
fighting
15.829%
Galanterie
normal
8.716%
Schutzschild
normal
8.649%
Other
18.558%

Best Teammates for Lopunny-Mega

Best Items for Lopunny-Mega

Schlapornit
100.000%

Best Abilities for Lopunny-Mega

Rauflust
100.000%

Best EV Spreads for Lopunny-Mega

Froh
4/
252/
0/
0/
0/
252
57.101%
Froh
0/
252/
0/
0/
4/
252
33.590%
Froh
0/
252/
4/
0/
0/
252
2.034%
Froh
44/
228/
4/
0/
4/
228
1.733%
Froh
60/
204/
4/
0/
4/
236
1.679%
Frequently Asked Questions

What are the best moves for Schlapor in VGC 16?

The top moves for Schlapor in VGC 16 are Rückkehr (84.047%), Fußkick (73.948%), Mogelhieb (63.275%), Eishieb (43.391%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Schlapor?

Schlapor synergizes well with Xerneas (71.348%), Smeargle (65.483%), Talonflame (49.381%), Yveltal (23.179%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Schlapor?

The most popular items for Schlapor are Schlapornit (100.000%). The best choice depends on your team composition and strategy.

What ability is best for Schlapor?

The most common abilities for Schlapor are Rauflust (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Schlapor?

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

What is the best EV spread for Schlapor?

The most common EV spread for Schlapor is Froh with 4/252/0/0/0/252 (57.101% usage). This build is optimized for the current metagame.

Is Schlapor good in VGC 16?

Schlapor 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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