Charizard-Mega-X

Name: Charizard-Mega-X Competitive Usage Stats - vgc2019ultra
Creator: Pikalytics
License: https://creativecommons.org/licenses/by-nc/4.0/

firedragon

Damage Calculator

Usage Percent

Monthly Rank

#99

Base Stats

Atk

130

Def

111

SpA

130

SpD

Spe

100

Moves

Tailwind

flying

99.413%

Flare Blitz

fire

98.864%

Protect

normal

97.084%

Thunder Punch

electric

60.499%

Dragon Claw

dragon

31.278%

Other

12.862%

Teammates

Item

Charizardite X

100.000%

Ability

Tough Claws

100.000%

EV Spreads

Jolly

252/

252

59.032%

Careful

164/

28/

108/

204

28.006%

Jolly

52/

140/

60/

252

10.620%

Frequently Asked Questions

What are the best moves for Charizard-Mega-X in vgc2019ultra?

The top moves for Charizard-Mega-X in vgc2019ultra are Tailwind (99.413%), Flare Blitz (98.864%), Protect (97.084%), Thunder Punch (60.499%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Charizard-Mega-X?

Charizard-Mega-X synergizes well with Incineroar (97.479%), Tapu Koko (70.654%), Ho-Oh (59.097%), Tapu Fini (59.073%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Charizard-Mega-X?

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

What ability is best for Charizard-Mega-X?

The most common abilities for Charizard-Mega-X are Tough Claws (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Charizard-Mega-X?

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

What is the best EV spread for Charizard-Mega-X?

The most common EV spread for Charizard-Mega-X is Jolly with 4/252/0/0/0/252 (59.032% usage). This build is optimized for the current metagame.

Is Charizard-Mega-X good in vgc2019ultra?

Charizard-Mega-X is currently ranked in the vgc2019ultra 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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