Incinerate (Fire fast)

type effectiveness

bugdarkdragonelectricfairyfightingfireflyingghostgrassgroundicenormalpoisonpsychicrocksteelwater
bug11111112121112
dark1-1-111-11-1
dragon-1-1-1-1-1-2-1-1-1-1-1-1-2-2
electric1-1-111-11-1
fairy1-1-111-11-1
fighting1-1-111-11-1
fire-1-2-1-1-1-1-1-1-1-1-1-1-2-2
flying1-1-111-11-1
ghost1-1-111-11-1
grass21111111121112
ground1-1-111-11-1
ice21111112111112
normal1-1-111-11-1
poison1-1-111-11-1
psychic1-1-111-11-1
rock-1-2-1-1-1-2-1-1-1-1-1-1-1-2
steel21111112121111
water-1-2-1-1-1-2-1-1-1-1-1-1-2-1

3x3 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPT-3PPT-2PPT-1PPT0PPT1PPT2EPT
πŸ—™ (-4)5202.443.916.25101625.60.4880.7811.2523.25.124
βœ“ (-4)5202.934.697.51219.230.70.5860.9381.52.43.846.144
πŸ—™ (-3)5202.794.467.1411.418.329.30.5580.8931.432.293.665.854
βœ“ (-3)5203.355.368.5713.721.935.10.6691.071.712.744.397.024
πŸ—™ (-2)5203.255.218.3313.321.334.10.6511.041.672.674.276.834
βœ“ (-2)5203.96.25101625.6410.7811.2523.25.128.194
πŸ—™ (-1)5203.96.25101625.6410.7811.2523.25.128.194
βœ“ (-1)5204.687.51219.230.749.20.9371.52.43.846.149.834
πŸ—™5204.887.8112.5203251.20.9761.562.546.410.24
βœ“5205.869.38152438.461.41.171.8834.87.6812.34
πŸ—™ (1)5206.19.7715.62540641.221.953.125812.84
βœ“ (1)5207.3211.718.8304876.81.462.343.7569.615.44
πŸ—™ (2)5207.3211.718.8304876.81.462.343.7569.615.44
βœ“ (2)5208.7814.122.53657.692.21.762.814.57.211.518.44
πŸ—™ (3)5208.5413.721.9355689.61.712.734.38711.217.94
βœ“ (3)52010.216.426.24267.21082.053.285.258.413.421.54
πŸ—™ (4)5209.7615.62540641021.953.125812.820.54
βœ“ (4)52011.718.8304876.81232.343.7569.615.424.64

Nx1 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPT-3PPT-2PPT-1PPT0PPT1PPT2EPT
πŸ—™5227.8112.5203251.281.91.562.546.410.216.44.4
βœ“5229.37152438.461.498.31.8734.87.6812.319.74.4

users

Rapidash, Typhlosion, Magcargo, Houndoom, Mega Houndoom, Ho-Oh, Camerupt, Mega Camerupt, Darmanitan, Chandelure, Mega Chandelure, Talonflame, Litleo, Pyroar, Gourgeist, Volcanion, Salazzle, Turtonator, Blacephalon, Fuecoco, Crocalor, Skeledirge, Charcadet, Armarouge, Ceruledge

PokΓ©mon GO: A Quantitative Approach