Wing Attack (Flying fast)

type effectiveness

bugdarkdragonelectricfairyfightingfireflyingghostgrassgroundicenormalpoisonpsychicrocksteelwater
bug111121112111111
dark1-111-1-1
dragon1-111-1-1
electric-1-1-1-1-1-1-1-1-1-1-1-1-2-2-1
fairy1-111-1-1
fighting211111112111111
fire1-111-1-1
flying1-111-1-1
ghost1-111-1-1
grass211121111111111
ground1-111-1-1
ice1-111-1-1
normal1-111-1-1
poison1-111-1-1
psychic1-111-1-1
rock-1-1-2-1-1-1-1-1-1-1-1-1-1-2-1
steel-1-1-2-1-1-1-1-1-1-1-1-1-2-1-1
water1-111-1-1

3x3 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPT-3PPT-2PPT-1PPT0PPT1PPT2EPT
πŸ—™ (-4)280.610.9771.562.546.40.3050.4880.7811.2523.24
βœ“ (-4)280.7321.171.8834.87.680.3660.5860.9381.52.43.844
πŸ—™ (-3)280.6971.121.792.864.577.310.3490.5580.8931.432.293.664
βœ“ (-3)280.8371.342.143.435.498.780.4180.671.071.712.744.394
πŸ—™ (-2)280.8131.32.083.335.338.530.4070.6511.041.672.674.274
βœ“ (-2)280.9761.562.546.410.20.4880.7811.2523.25.124
πŸ—™ (-1)280.9761.562.546.410.20.4880.7811.2523.25.124
βœ“ (-1)281.171.8834.87.6812.30.5860.9381.52.43.846.144
πŸ—™281.221.953.125812.80.610.9771.562.546.44
βœ“281.462.343.7569.615.40.7321.171.8834.87.684
πŸ—™ (1)281.522.443.916.2510160.7621.221.953.12584
βœ“ (1)281.832.934.697.51219.20.9151.462.343.7569.64
πŸ—™ (2)281.832.934.697.51219.20.9151.462.343.7569.64
βœ“ (2)282.23.525.62914.4231.11.762.814.57.211.54
πŸ—™ (3)282.133.425.478.751422.41.071.712.734.38711.24
βœ“ (3)282.564.16.5610.516.826.91.282.053.285.258.413.44
πŸ—™ (4)282.443.916.25101625.61.221.953.125812.84
βœ“ (4)282.934.697.51219.230.71.462.343.7569.615.44

Nx1 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPT-3PPT-2PPT-1PPT0PPT1PPT2EPT
πŸ—™2112.443.916.25101625.61.221.953.125812.85.5
βœ“2112.934.697.51219.230.71.462.343.7569.615.45.5

users

Charizard, Mega Charizard X, Mega Charizard Y, Pidgeotto, Pidgeot, Mega Pidgeot, Golbat, Moltres, Galarian Moltres, Noctowl, Yanma, Gligar, Mantine, Swellow, Pelipper, Staravia, Staraptor, Mega Staraptor, Yanmega, Gliscor, Archen, Archeops, Ducklett, Rufflet, Noibat, Quaxly, Quaxwell, Quaquaval, Bombirdier, Flamigo

PokΓ©mon GO: A Quantitative Approach