MéGa-Absol

Damage Calculator
Usage Percent
0%
Monthly Rank
#199

Base Stats for MéGa-Absol

HP
65
Atk
150
Def
60
SpA
115
SpD
60
Spe
115

Best Moves for MéGa-Absol

Sabotage
87.755%
Coup Bas
80.352%
Close Combat
59.793%
Laser Glace
52.830%
Danse Lames
48.085%
Lance-Flammes
21.023%
Poursuite
15.942%
Feu Follet
9.858%
Câlinerie
6.196%
Other
18.165%

Best Items for MéGa-Absol

Absolite
100.000%

Best Abilities for MéGa-Absol

Miroir Magik
100.000%

Best EV Spreads for MéGa-Absol

Jovial
0/
252/
4/
0/
0/
252
25.675%
Naïf
0/
252/
0/
40/
0/
216
20.681%
Jovial
0/
252/
0/
0/
4/
252
14.489%
Naïf
0/
168/
0/
88/
0/
252
9.834%
Naïf
0/
252/
0/
4/
0/
252
9.295%
Mauvais
0/
252/
0/
0/
0/
252
3.651%
Frequently Asked Questions

What are the best moves for Méga-Absol in Gen 9 National Dex?

The top moves for Méga-Absol in Gen 9 National Dex are Sabotage (87.755%), Coup Bas (80.352%), Close Combat (59.793%), Laser Glace (52.830%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Méga-Absol?

Méga-Absol synergizes well with Ogerpon-Wellspring (54.874%), Iron Treads (29.573%), Moltres (25.505%), Scizor (23.898%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Méga-Absol?

The most popular items for Méga-Absol are Absolite (100.000%). The best choice depends on your team composition and strategy.

What ability is best for Méga-Absol?

The most common abilities for Méga-Absol are Miroir Magik (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Méga-Absol?

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

What is the best EV spread for Méga-Absol?

The most common EV spread for Méga-Absol is Jovial with 0/252/4/0/0/252 (25.675% usage). This build is optimized for the current metagame.

Is Méga-Absol good in Gen 9 National Dex?

Méga-Absol is currently ranked in the Gen 9 National Dex 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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