Best Lunala Raid Counters

Raid Battles

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

Lunala CP range from Raids

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

  • From 2219 CP to 2310 CP, with no weather boost
  • From 2774 CP to 2887 CP with Windy and Fog weather boost

Lunala weaknesses

Lunala type chart

When fighting Lunala, keep in mind the that Psychic and Ghost-type Pokémon are weak to Dark and Ghost-type moves. They take reduced damage from Poison, Psychic, Normal, and Fighting-type moves.

Lunala takes increased damage from:Lunala takes increased damage from:
+156.0%
  • DarkDark
  • GhostGhost
Lunala takes reduced damage from:Lunala takes reduced damage from:
-37.5%
  • PoisonPoison
  • PsychicPsychic
-60.9%
  • NormalNormal
-75.6%
  • FightingFighting

Best move-types and best weather for defeating Lunala

Move-typeUsage (%)Weather
Dark240.0%
  • fogFog
Ghost133.3%
  • fogFog
Psychic26.7%
  • windyWindy

About our ranking methodology

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