Mega-Tyranitar

Damage Calculator
Usage Percent
0%
Monthly Rank
#50

Base Stats for Mega-Tyranitar

HP
100
Atk
164
Def
150
SpA
95
SpD
120
Spe
71

Best Moves for Mega-Tyranitar

Terremoto
100.000%
Avalancha
89.003%
Rayo
57.846%
Onda Certera
57.846%
Trampa Rocas
31.156%
Enfado
31.156%
Triturar
10.997%
Roca Afilada
10.997%
Other
10.997%

Best Items for Mega-Tyranitar

Tyranitarita
100.000%

Best Abilities for Mega-Tyranitar

Chorro Arena
100.000%

Best EV Spreads for Mega-Tyranitar

Ingenua
0/
0/
4/
252/
0/
252
57.846%
Firme
0/
252/
252/
0/
0/
4
31.156%
Fuerte
252/
252/
0/
4/
0/
0
10.997%
Frequently Asked Questions

What are the best moves for Mega-Tyranitar in Omega Ruby & Alpha Sapphire OverUsed?

The top moves for Mega-Tyranitar in Omega Ruby & Alpha Sapphire OverUsed are Terremoto (100.000%), Avalancha (89.003%), Rayo (57.846%), Onda Certera (57.846%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Mega-Tyranitar?

Mega-Tyranitar synergizes well with Aromatisse (88.221%), Throh (88.221%), Tangrowth (88.221%), Greninja (88.220%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Mega-Tyranitar?

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

What ability is best for Mega-Tyranitar?

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

What Tera Type should I use on Mega-Tyranitar?

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

What is the best EV spread for Mega-Tyranitar?

The most common EV spread for Mega-Tyranitar is Ingenua with 0/0/4/252/0/252 (57.846% usage). This build is optimized for the current metagame.

Is Mega-Tyranitar good in Omega Ruby & Alpha Sapphire OverUsed?

Mega-Tyranitar is currently ranked in the Omega Ruby & Alpha Sapphire OverUsed 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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