Feraligatr

Damage Calculator
Usage Percent
0%
Monthly Rank
#73

Base Stats for Feraligatr

HP
85
Atk
105
Def
100
SpA
79
SpD
83
Spe
78

Best Moves for Feraligatr

Waterfall
99.754%
Return
82.207%
Swords Dance
82.064%
Aqua Jet
81.995%
Dragon Dance
17.936%
Substitute
14.516%
Crunch
14.140%
Other
7.388%

Best Items for Feraligatr

Mystic Water
63.397%
Salac Berry
16.441%
Leftovers
14.062%
Life Orb
4.048%
Other
2.053%

Best Abilities for Feraligatr

Torrent
100.000%

Best EV Spreads for Feraligatr

Jolly
4/
252/
0/
0/
0/
252
54.746%
Jolly
0/
252/
0/
0/
4/
252
16.518%
Adamant
8/
252/
0/
0/
0/
248
14.058%
Adamant
0/
252/
0/
0/
4/
252
9.517%
Adamant
28/
252/
0/
0/
0/
228
3.390%
Frequently Asked Questions

What are the best moves for Feraligatr in Gen 4 OverUsed?

The top moves for Feraligatr in Gen 4 OverUsed are Waterfall (99.754%), Return (82.207%), Swords Dance (82.064%), Aqua Jet (81.995%). These represent the highest usage percentages on the competitive ladder.

What are the best teammates for Feraligatr?

Feraligatr synergizes well with Flygon (63.875%), Tyranitar (58.625%), Skarmory (54.271%), Empoleon (53.710%). These Pokemon frequently appear on teams together and cover each other's weaknesses.

What item should I use on Feraligatr?

The most popular items for Feraligatr are Mystic Water (63.397%), Salac Berry (16.441%), Leftovers (14.062%). The best choice depends on your team composition and strategy.

What ability is best for Feraligatr?

The most common abilities for Feraligatr are Torrent (100.000%). The choice often depends on your team's strategy.

What Tera Type should I use on Feraligatr?

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

What is the best EV spread for Feraligatr?

The most common EV spread for Feraligatr is Jolly with 4/252/0/0/0/252 (54.746% usage). This build is optimized for the current metagame.

Is Feraligatr good in Gen 4 OverUsed?

Feraligatr is currently ranked in the Gen 4 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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