Avalanche (Ice charged)

type effectiveness

bugdarkdragonelectricfairyfightingfireflyingghostgrassgroundicenormalpoisonpsychicrocksteelwater
bug1-1111-1-1-1
dark1-1111-1-1-1
dragon11111121221111
electric1-1111-1-1-1
fairy1-1111-1-1-1
fighting1-1111-1-1-1
fire-1-1-1-1-1-1-1-2-1-1-1-1-2-2
flying11211111221111
ghost1-1111-1-1-1
grass11211121121111
ground11211121211111
ice-1-1-1-1-1-2-1-1-1-1-1-1-2-2
normal1-1111-1-1-1
poison1-1111-1-1-1
psychic1-1111-1-1-1
rock1-1111-1-1-1
steel-1-1-1-1-1-2-1-2-1-1-1-1-1-2
water-1-1-1-1-1-2-1-2-1-1-1-1-2-1

3x3 stats

STAB?EP-3P-2P-1P0P1P2PPE-3PPE-2PPE-1PPE0PPE1PPE2
πŸ—™ (-4)451117.628.145721150.2440.3910.62511.62.56
βœ“ (-4)4513.221.133.85486.41380.2930.4690.751.21.923.07
πŸ—™ (-3)4512.520.132.151.482.31320.2790.4460.7141.141.832.93
βœ“ (-3)4515.124.138.661.798.71580.3350.5360.8571.372.193.51
πŸ—™ (-2)4514.623.437.560961540.3250.5210.8331.332.133.41
βœ“ (-2)4517.628.145721151840.390.62511.62.564.1
πŸ—™ (-1)4517.628.145721151840.390.62511.62.564.1
βœ“ (-1)4521.133.85486.41382210.4680.751.21.923.074.92
πŸ—™452235.256.2901442300.4880.7811.2523.25.12
βœ“4526.442.267.51081732760.5860.9381.52.43.846.14
πŸ—™ (1)4527.543.970.31121802880.610.9771.562.546.4
βœ“ (1)4532.952.784.41352163460.7321.171.8834.87.68
πŸ—™ (2)4532.952.784.41352163460.7321.171.8834.87.68
βœ“ (2)4539.563.31011622594150.8781.412.253.65.769.22
πŸ—™ (3)4538.461.598.41582524030.8541.372.193.55.68.96
βœ“ (3)4546.173.81181893024841.021.642.624.26.7210.8
πŸ—™ (4)4543.970.31121802884610.9761.562.546.410.2
βœ“ (4)4552.784.41352163465531.171.8834.87.6812.3

Nx1 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPE-3PPE-2PPE-1PPE0PPE1PPE2PPT-3PPT-2PPT-1PPT0PPT1PPT2
πŸ—™55020.733.253.1851362180.4150.6641.061.72.724.354.156.6410.61727.243.5
βœ“55024.939.863.81021632610.4980.7971.272.043.265.224.987.9712.820.432.652.2

users

Nidoking, Cloyster, Jynx, Sneasel, Piloswine, Snorunt, Glalie, Mega Glalie, Kyogre, Primal Kyogre, Weavile, Glaceon, Mamoswine, Froslass, Galarian Darmanitan, Vanilluxe, Avalugg, Cetoddle, Cetitan, Frigibax, Arctibax, Baxcalibur

PokΓ©mon GO: A Quantitative Approach