Pharamp

Name: Ampharos-Mega Competitive Usage Stats - gen8nationaldex
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

electricdragon

Damage Calculator

Usage Percent

Monthly Rank

#159

Base Stats for Ampharos-Mega

Atk

Def

105

SpA

165

SpD

110

Spe

Best Moves for Ampharos-Mega

Draco-Choc

dragon

99.978%

Tonnerre

electric

99.963%

Change Éclair

electric

99.948%

Exploforce

fighting

98.402%

Other

1.708%

Best Teammates for Ampharos-Mega

Best Items for Ampharos-Mega

Pharampite

100.000%

Best Abilities for Ampharos-Mega

Brise Moule

100.000%

Best EV Spreads for Ampharos-Mega

Discret

252/

98.164%

Frequently Asked Questions

What are the best moves for Ampharos-Mega in gen8nationaldex?

The top moves for Ampharos-Mega in gen8nationaldex are Draco-Choc (99.978%), Tonnerre (99.963%), Change Éclair (99.948%), Exploforce (98.402%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Ampharos-Mega?

Ampharos-Mega synergizes well with Hatterene (99.639%), Marowak-Alola (98.170%), Melmetal (98.164%), Cresselia (98.164%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Ampharos-Mega?

The most popular items for Ampharos-Mega are Pharampite (100.000%). The best choice depends on your team composition and strategy.

What ability is best for Ampharos-Mega?

The most common abilities for Ampharos-Mega are Brise Moule (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Ampharos-Mega?

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

What is the best EV spread for Ampharos-Mega?

The most common EV spread for Ampharos-Mega is Discret with 252/4/0/252/0/0 (98.164% usage). This build is optimized for the current metagame.

Is Ampharos-Mega good in gen8nationaldex?

Ampharos-Mega is currently ranked in the gen8nationaldex 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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