Best Kirlia Raid Counters

Raid Battles

Find the best counters for defeating Kirlia in Pokémon GO. Here are the top 100 Kirlia counters, including moves, DPS, TDO, faints, and time to win.

Kirlia CP range from Raids

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

  • From 508 CP to 552 CP, with no weather boost
  • From 635 CP to 690 CP with Windy and Cloudy weather boost

Kirlia weaknesses

Kirlia type chart

When fighting Kirlia, keep in mind the that Psychic and Fairy-type Pokémon are weak to Ghost, Poison, and Steel-type moves. They take reduced damage from Psychic, Dragon, and Fighting-type moves.

Kirlia takes increased damage from:Kirlia takes increased damage from:
+60.0%
  • Ghost
  • Poison
  • Steel
Kirlia takes reduced damage from:Kirlia takes reduced damage from:
-37.5%
  • Psychic
-60.9%
  • Dragon
  • Fighting

Best move-types and best weather for defeating Kirlia

Move-typeUsage (%)Weather
Ghost170.0%
  • fogFog
Steel110.0%
  • snowSnow
Poison70.0%
  • cloudyCloudy
Psychic16.7%
  • windyWindy
Flying6.7%
  • windyWindy
Normal6.7%
  • partlyCloudyPartly Cloudy
Ice6.7%
  • snowSnow
Dark3.3%
  • fogFog
Fairy3.3%
  • cloudyCloudy
Grass3.3%
  • sunnySunny
Electric3.3%
  • rainRain

About our ranking methodology

Our guide provides detailed information on recommended Pokémon and moves that are most effective against Kirlia in Raid Battles. Whether you're looking for the best counters to take Kirlia 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 Kirlia 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.