Power Gem (Rock charged)

type effectiveness

bugdarkdragonelectricfairyfightingfireflyingghostgrassgroundicenormalpoisonpsychicrocksteelwater
bug111112211211111
dark1-111-11-1
dragon1-111-11-1
electric1-111-11-1
fairy1-111-11-1
fighting-1-1-1-1-1-1-1-2-1-1-1-1-2-1
fire211111211211111
flying211112111211111
ghost1-111-11-1
grass1-111-11-1
ground-1-1-1-1-2-1-1-1-1-1-1-1-2-1
ice211112211111111
normal1-111-11-1
poison1-111-11-1
psychic1-111-11-1
rock1-111-11-1
steel-1-1-1-1-2-1-1-2-1-1-1-1-1-1
water1-111-11-1

3x3 stats

STAB?EP-3P-2P-1P0P1P2PPE-3PPE-2PPE-1PPE0PPE1PPE2
πŸ—™ (-4)5010.416.626.642.5681090.2070.3320.5310.851.362.18
βœ“ (-4)5012.419.931.95181.61310.2490.3980.6371.021.632.61
πŸ—™ (-3)5011.91930.448.677.71240.2370.3790.6070.9711.552.49
βœ“ (-3)5014.222.836.458.393.31490.2840.4550.7291.171.872.98
πŸ—™ (-2)5013.822.135.456.790.71450.2770.4430.7081.131.812.9
βœ“ (-2)5016.626.642.5681091740.3320.5310.851.362.183.48
πŸ—™ (-1)5016.626.642.5681091740.3320.5310.851.362.183.48
βœ“ (-1)5019.931.95181.61312090.3980.6371.021.632.614.18
πŸ—™5020.733.253.1851362180.4150.6641.061.72.724.35
βœ“5024.939.863.81021632610.4980.7971.272.043.265.22
πŸ—™ (1)5025.941.566.41061702720.5190.831.332.123.45.44
βœ“ (1)5031.149.879.71282043260.6220.9961.592.554.086.53
πŸ—™ (2)5031.149.879.71282043260.6220.9961.592.554.086.53
βœ“ (2)5037.359.895.61532453920.7471.21.913.064.97.83
πŸ—™ (3)5036.358.1931492383810.7261.161.862.974.767.62
βœ“ (3)5043.669.71121782864570.8711.392.233.575.719.14
πŸ—™ (4)5041.566.41061702724350.831.332.123.45.448.7
βœ“ (4)5049.879.71282043265220.9961.592.554.086.5310.4

Nx1 stats

STAB?TurnsEP-3P-2P-1P0P1P2PPE-3PPE-2PPE-1PPE0PPE1PPE2PPT-3PPT-2PPT-1PPT0PPT1PPT2
πŸ—™65019.531.250801282050.390.62511.62.564.13.255.218.3313.321.334.1
βœ“65023.437.560961542460.4680.751.21.923.074.923.96.25101625.641

users

Persian, Staryu, Starmie, Mega Starmie, Flaaffy, Ampharos, Mega Ampharos, Corsola, Galarian Corsola, Sableye, Mega Sableye, Vespiquen, Carbink, Diancie, Mega Diancie, Minior, Nihilego, Glimmet, Glimmora, Gholdengo

PokΓ©mon GO: A Quantitative Approach