Glalie-Mega

ice Damage Calculator
Usage Percent
0%
Monthly Rank
#383

Base Stats for Glalie-Mega

HP
80
Atk
120
Def
80
SpA
120
SpD
80
Spe
100

Best Moves for Glalie-Mega

Explosion
normal
93.112%
Protect
normal
70.105%
Ice Shard
ice
68.263%
Disable
normal
55.152%
Double-Edge
normal
21.201%
Earthquake
ground
17.581%
Crunch
dark
13.665%
Spikes
ground
12.582%
Return
normal
7.618%
Blizzard
ice
6.446%
Giga Impact
normal
6.226%
Icy Wind
ice
5.547%
Body Slam
normal
5.436%
Other
17.067%

Best Items for Glalie-Mega

Glalitite
100.000%

Best Abilities for Glalie-Mega

Refrigerate
100.000%

Best EV Spreads for Glalie-Mega

Jolly
0/
252/
0/
0/
4/
252
68.756%
Jolly
0/
252/
4/
0/
0/
252
12.932%
Jolly
4/
252/
0/
0/
0/
252
6.077%
Hasty
0/
212/
0/
116/
0/
180
5.547%
Hasty
0/
252/
0/
4/
0/
252
2.560%
Frequently Asked Questions

What are the best moves for Glalie-Mega in DOU?

The top moves for Glalie-Mega in DOU are Explosion (93.112%), Protect (70.105%), Ice Shard (68.263%), Disable (55.152%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Glalie-Mega?

Glalie-Mega synergizes well with Tapu Fini (51.533%), Kommo-o (48.859%), Murkrow (46.501%), Mimikyu (46.013%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Glalie-Mega?

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

What ability is best for Glalie-Mega?

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

What Tera Type should I use on Glalie-Mega?

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

What is the best EV spread for Glalie-Mega?

The most common EV spread for Glalie-Mega is Jolly with 0/252/0/0/4/252 (68.756% usage). This build is optimized for the current metagame.

Is Glalie-Mega good in DOU?

Glalie-Mega is currently ranked in the DOU 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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