Top Quilava Counters in Pokémon GO Raids

Raid Battles

Quilava CP range from Raids

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

  • From 887 CP to 944 CP, with no weather boost
  • From 1109 CP to 1180 CP with Sunny weather boost

Quilava weaknesses

Quilava type chart

When fighting Quilava, keep in mind the that Fire-type Pokémon are weak to Ground, Rock, and Water-type moves. They take reduced damage from Bug, Fairy, Fire, Grass, Ice, and Steel-type moves.

Quilava takes increased damage from:Quilava takes increased damage from:
+60.0%
  • Ground
  • Rock
  • Water
Quilava takes reduced damage from:Quilava takes reduced damage from:
-37.5%
  • Bug
  • Fairy
  • Fire
  • Grass
  • Ice
  • Steel

Best move-types and best weather for defeating Quilava

Move-typeUsage (%)Weather
Water146.0%
  • rainRain
Ground96.0%
  • sunnySunny
Rock94.0%
  • partlyCloudyPartly Cloudy
Dragon24.0%
  • windyWindy
Psychic16.0%
  • windyWindy
Flying10.0%
  • windyWindy
Fighting8.0%
  • cloudyCloudy
Ghost2.0%
  • fogFog
Normal2.0%
  • partlyCloudyPartly Cloudy
Bug2.0%
  • rainRain

About our ranking methodology

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