Stolloss

Damage Calculator
Usage Percent
0%
Monthly Rank
#87

Base Stats for Stolloss

HP
70
Atk
110
Def
180
SpA
60
SpD
60
Spe
50

Best Moves for Stolloss

Steinhagel
99.918%
Donnerwelle
94.732%
Power-Punch
90.327%
Hidden Power Bug
45.182%
Delegator
30.471%
Erdbeben
24.438%
Other
14.931%

Best Items for Stolloss

Überreste
92.846%
Salkabeere
5.066%
Other
2.088%

Best Abilities for Stolloss

Steinhaupt
73.548%
Robustheit
26.452%

Best EV Spreads for Stolloss

Hart
200/
216/
0/
0/
32/
60
45.072%
Hart
208/
252/
0/
0/
0/
48
18.734%
Hart
220/
96/
192/
0/
0/
0
15.550%
Hart
228/
252/
0/
0/
0/
28
9.187%
Froh
0/
252/
0/
0/
4/
252
4.984%
Hart
252/
252/
0/
0/
4/
0
3.452%
Frequently Asked Questions

What are the best moves for Stolloss in Gen 3 OverUsed?

The top moves for Stolloss in Gen 3 OverUsed are Steinhagel (99.918%), Donnerwelle (94.732%), Power-Punch (90.327%), Hidden Power Bug (45.182%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Stolloss?

Stolloss synergizes well with Tyranitar (72.903%), Skarmory (72.821%), Aerodactyl (69.014%), Starmie (66.560%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Stolloss?

The most popular items for Stolloss are Überreste (92.846%), Salkabeere (5.066%), Other (2.088%). The best choice depends on your team composition and strategy.

What ability is best for Stolloss?

The most common abilities for Stolloss are Steinhaupt (73.548%) and Robustheit (26.452%). The choice often depends on your team's strategy.

What Tera Type should I use on Stolloss?

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

What is the best EV spread for Stolloss?

The most common EV spread for Stolloss is Hart with 200/216/0/0/32/60 (45.072% usage). This build is optimized for the current metagame.

Is Stolloss good in Gen 3 OverUsed?

Stolloss is currently ranked in the Gen 3 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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