Force Palm (Fighting fast)

type effectiveness

bugdarkdragonelectricfairyfightingfireflyingghostgrassgroundicenormalpoisonpsychicrocksteelwater
bug-1-1-1-2-1-1-2-3-1-1-2-2-1
dark11111-11122221
dragon-11-1-1-211-1-111
electric-11-1-1-211-1-111
fairy-2-1-1-1-1-1-2-3-1-1-2-2-1
fighting-11-1-1-211-1-111
fire-11-1-1-211-1-111
flying-2-1-1-2-1-1-1-3-1-1-2-2-1
ghost-3-1-2-2-3-2-2-3-2-2-2-1-1-3-3-1-1-2
grass-11-1-1-211-1-111
ground-11-1-1-211-1-111
ice21111-11112221
normal21111-11121221
poison-2-1-1-2-1-1-2-3-1-1-1-2-1
psychic-2-1-1-2-1-1-2-3-1-1-2-1-1
rock21111-11122121
steel21111-11122211
water-11-1-1-211-1-111

3x3 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPT-3PPT-2PPT-1PPT0PPT1PPT2EPT
πŸ—™ (-4)3101.592.544.066.510.416.60.5290.8461.352.173.475.553.33
βœ“ (-4)3101.93.054.887.812.5200.6341.021.632.64.166.663.33
πŸ—™ (-3)3101.812.94.647.4311.9190.6040.9671.552.483.966.343.33
βœ“ (-3)3102.183.485.578.9114.322.80.7251.161.862.974.757.613.33
πŸ—™ (-2)3102.113.395.428.6713.922.20.7051.131.812.894.627.43.33
βœ“ (-2)3102.544.066.510.416.626.60.8461.352.173.475.558.873.33
πŸ—™ (-1)3102.544.066.510.416.626.60.8461.352.173.475.558.873.33
βœ“ (-1)3103.054.887.812.52031.91.021.632.64.166.6610.63.33
πŸ—™3103.175.088.121320.833.31.061.692.714.336.9311.13.33
βœ“3103.816.099.7515.62539.91.272.033.255.28.3213.33.33
πŸ—™ (1)3103.976.3510.216.22641.61.322.123.395.428.6713.93.33
βœ“ (1)3104.767.6212.219.531.249.91.592.544.066.510.416.63.33
πŸ—™ (2)3104.767.6212.219.531.249.91.592.544.066.510.416.63.33
βœ“ (2)3105.719.1414.623.437.459.91.93.054.887.812.5203.33
πŸ—™ (3)3105.558.8914.222.836.458.21.852.964.747.5812.119.43.33
βœ“ (3)3106.6610.717.127.343.769.92.223.555.699.114.623.33.33
πŸ—™ (4)3106.3410.216.22641.666.62.113.395.428.6713.922.23.33
βœ“ (4)3107.6112.219.531.249.979.92.544.066.510.416.626.63.33

Nx1 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPT-3PPT-2PPT-1PPT0PPT1PPT2EPT
πŸ—™2162.443.916.25101625.61.221.953.125812.88
βœ“2162.934.697.51219.230.71.462.343.7569.615.48

users

Breloom, Hariyama, Lucario, Mega Lucario, Conkeldurr, Mienshao

PokΓ©mon GO: A Quantitative Approach