Best Hoopa Unbound Raid Counters

Raid Battles

Find the best counters for defeating Hoopa Unbound in Pokémon GO. This page shows the top 50 Hoopa Unbound raid counters, including moves, DPS, TDO, faints, and time to win.

Hoopa Unbound CP range from Raids

Hoopa Unbound can be caught with the following Combat Power after being defeated in Raids:

  • From 2197 CP to 2289 CP, with no weather boost
  • From 2746 CP to 2862 CP with Windy and Fog weather boost

Hoopa Unbound weaknesses

Hoopa Unbound type chart

When fighting Hoopa Unbound, keep in mind the that Psychic and Dark-type Pokémon are weak to Bug and Fairy-type moves. They take reduced damage from Psychic-type moves.

Hoopa Unbound takes increased damage from:Hoopa Unbound takes increased damage from:
+156.0%
  • BugBug
+60.0%
  • FairyFairy
Hoopa Unbound takes reduced damage from:Hoopa Unbound takes reduced damage from:
-75.6%
  • PsychicPsychic

Best move-types and best weather for defeating Hoopa Unbound

Move-typeUsage (%)Weather
Bug352.0%
  • rainRain
Fairy16.0%
  • cloudyCloudy
Steel12.0%
  • snowSnow
Dark8.0%
  • fogFog
Dragon4.0%
  • windyWindy
Flying4.0%
  • windyWindy
Grass4.0%
  • sunnySunny

About our ranking methodology

Our guide provides detailed information on recommended Pokémon and moves that are most effective against Hoopa Unbound in Raid Battles. Whether you're looking for the best counters to take Hoopa Unbound down quickly with high DPS, or the tankiest counters that can withstand its attacks, our guide has something for every trainer.

This guide displays a list of best Hoopa Unbound counters in Pokémon GO with their Fast Attacks, Charged Attacks, DPS (damage per second), TDO (total damage output), faints, TTW (time to win), and score. The list is sorted by the score, which is calculated based on the DPS and TDO. Each Pokemon's move type is indicated by an icon beside the move name.

When calculating the best counters for any Pokémon, our simulator takes into account various factors, such as the defender's typing and average DPS against each attacker, the weather's influence, energy left over from using charge attacks, Shadow Pokémon attack and defense stat changes, and more. During the initial phase of simulations, we calculate DPS and TDO for each attacker that is currently available in the game, and then we continue to rank them.

We use a ranking method developed by a Reddit user named /u/Elastic_Space, which is described in detail in this Reddit post. It is a fairly complicated, but very well thought-out mathematical model for predicting simulation results without actually running the simulations. It also correlates with field data almost too well not to be used. Reddit

Our Time to Win (TTW) and Faint numbers are also estimated, and should be taken with a grain of salt. Since we do not account for factors like Friendship and Mega damage boost, they will differ from actual experience in the field.