Medicham-Mega

fightingpsychic Damage Calculator
Usage Percent
0%
Monthly Rank
#159

Base Stats for Medicham-Mega

HP
60
Atk
100
Def
85
SpA
80
SpD
85
Spe
100

Best Moves for Medicham-Mega

Fake Out
normal
97.946%
Zen Headbutt
psychic
81.036%
High Jump Kick
fighting
75.412%
Feint
normal
41.681%
Ice Punch
ice
29.948%
Drain Punch
fighting
22.863%
Poison Jab
poison
15.367%
Protect
normal
13.856%
Helping Hand
normal
6.310%
Other
15.581%

Best Items for Medicham-Mega

Medichamite
100.000%

Best Abilities for Medicham-Mega

Pure Power
100.000%

Best EV Spreads for Medicham-Mega

Jolly
0/
252/
0/
0/
4/
252
52.669%
Adamant
252/
252/
4/
0/
0/
0
22.052%
Adamant
20/
252/
4/
0/
12/
220
12.285%
Jolly
4/
252/
0/
0/
0/
252
9.683%
Frequently Asked Questions

What are the best moves for Medicham-Mega in vgc2018pgl?

The top moves for Medicham-Mega in vgc2018pgl are Fake Out (97.946%), Zen Headbutt (81.036%), High Jump Kick (75.412%), Feint (41.681%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Medicham-Mega?

Medicham-Mega synergizes well with Snorlax (40.175%), Tapu Lele (39.363%), Braviary (39.008%), Aegislash (37.873%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Medicham-Mega?

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

What ability is best for Medicham-Mega?

The most common abilities for Medicham-Mega are Pure Power (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Medicham-Mega?

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

What is the best EV spread for Medicham-Mega?

The most common EV spread for Medicham-Mega is Jolly with 0/252/0/0/4/252 (52.669% usage). This build is optimized for the current metagame.

Is Medicham-Mega good in vgc2018pgl?

Medicham-Mega is currently ranked in the vgc2018pgl 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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