Dark Pulse (Dark charged)
type effectiveness
|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | -1 | -1 | -1 | -1 | -2 | -2 | -1 | -1 | | -1 | -1 | -1 | -1 | -1 | | -1 | -1 | -1 |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | -1 | -2 | -1 | -1 | -1 | -2 | -1 | -1 | | -1 | -1 | -1 | -1 | -1 | | -1 | -1 | -1 |
 | -1 | -2 | -1 | -1 | -2 | -1 | -1 | -1 | | -1 | -1 | -1 | -1 | -1 | | -1 | -1 | -1 |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | 1 | | 1 | 1 | | | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | 1 | | 1 | 1 | | | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
 | | -1 | | | -1 | -1 | | | 1 | | | | | | 1 | | | |
3x3 stats
| STAB? | E | P-3 | P-2 | P-1 | P0 | P1 | P2 | PPE-3 | PPE-2 | PPE-1 | PPE0 | PPE1 | PPE2 |
| π (-4) | 45 | 9.76 | 15.6 | 25 | 40 | 64 | 102 | 0.217 | 0.347 | 0.556 | 0.889 | 1.42 | 2.28 |
| β (-4) | 45 | 11.7 | 18.8 | 30 | 48 | 76.8 | 123 | 0.26 | 0.417 | 0.667 | 1.07 | 1.71 | 2.73 |
| π (-3) | 45 | 11.2 | 17.9 | 28.6 | 45.7 | 73.1 | 117 | 0.248 | 0.397 | 0.635 | 1.02 | 1.63 | 2.6 |
| β (-3) | 45 | 13.4 | 21.4 | 34.3 | 54.9 | 87.8 | 140 | 0.297 | 0.476 | 0.762 | 1.22 | 1.95 | 3.12 |
| π (-2) | 45 | 13 | 20.8 | 33.3 | 53.3 | 85.3 | 137 | 0.289 | 0.463 | 0.741 | 1.19 | 1.9 | 3.03 |
| β (-2) | 45 | 15.6 | 25 | 40 | 64 | 102 | 164 | 0.347 | 0.556 | 0.889 | 1.42 | 2.28 | 3.64 |
| π (-1) | 45 | 15.6 | 25 | 40 | 64 | 102 | 164 | 0.347 | 0.556 | 0.889 | 1.42 | 2.28 | 3.64 |
| β (-1) | 45 | 18.7 | 30 | 48 | 76.8 | 123 | 197 | 0.416 | 0.667 | 1.07 | 1.71 | 2.73 | 4.37 |
| π | 45 | 19.5 | 31.2 | 50 | 80 | 128 | 205 | 0.434 | 0.694 | 1.11 | 1.78 | 2.84 | 4.55 |
| β | 45 | 23.4 | 37.5 | 60 | 96 | 154 | 246 | 0.521 | 0.833 | 1.33 | 2.13 | 3.41 | 5.46 |
| π (1) | 45 | 24.4 | 39.1 | 62.5 | 100 | 160 | 256 | 0.542 | 0.868 | 1.39 | 2.22 | 3.56 | 5.69 |
| β (1) | 45 | 29.3 | 46.9 | 75 | 120 | 192 | 307 | 0.651 | 1.04 | 1.67 | 2.67 | 4.27 | 6.83 |
| π (2) | 45 | 29.3 | 46.9 | 75 | 120 | 192 | 307 | 0.651 | 1.04 | 1.67 | 2.67 | 4.27 | 6.83 |
| β (2) | 45 | 35.1 | 56.2 | 90 | 144 | 230 | 369 | 0.781 | 1.25 | 2 | 3.2 | 5.12 | 8.19 |
| π (3) | 45 | 34.2 | 54.7 | 87.5 | 140 | 224 | 358 | 0.759 | 1.22 | 1.94 | 3.11 | 4.98 | 7.96 |
| β (3) | 45 | 41 | 65.6 | 105 | 168 | 269 | 430 | 0.911 | 1.46 | 2.33 | 3.73 | 5.97 | 9.56 |
| π (4) | 45 | 39 | 62.5 | 100 | 160 | 256 | 410 | 0.868 | 1.39 | 2.22 | 3.56 | 5.69 | 9.1 |
| β (4) | 45 | 46.8 | 75 | 120 | 192 | 307 | 492 | 1.04 | 1.67 | 2.67 | 4.27 | 6.83 | 10.9 |
Nx1 stats
| STAB? | Turns | E | P-3 | P-2 | P-1 | P0 | P1 | P2 | PPE-3 | PPE-2 | PPE-1 | PPE0 | PPE1 | PPE2 | PPT-3 | PPT-2 | PPT-1 | PPT0 | PPT1 | PPT2 |
| π | 6 | 50 | 19.5 | 31.2 | 50 | 80 | 128 | 205 | 0.39 | 0.625 | 1 | 1.6 | 2.56 | 4.1 | 3.25 | 5.21 | 8.33 | 13.3 | 21.3 | 34.1 |
| β | 6 | 50 | 23.4 | 37.5 | 60 | 96 | 154 | 246 | 0.468 | 0.75 | 1.2 | 1.92 | 3.07 | 4.92 | 3.9 | 6.25 | 10 | 16 | 25.6 | 41 |
users
Arbok,
Alolan Vulpix,
Meowth,
Alolan Meowth,
Alolan Persian,
Muk,
Alolan Muk,
Gastly,
Haunter,
Gengar,
Mega Gengar,
Koffing,
Weezing,
Mew,
Umbreon,
Murkrow,
Misdreavus,
Hisuian Qwilfish,
Houndour,
Cacturne,
Absol,
Mega Absol,
Deoxys Attack,
Mismagius,
Honchkrow,
Dusknoir,
Darkrai,
Hisuian Samurott,
Purrloin,
Liepard,
Yamask,
Cofagrigus,
Zorua,
Hisuian Zorua,
Hisuian Zoroark,
Elgyem,
Beheeyem,
Bisharp,
Vullaby,
Mandibuzz,
Zweilous,
Hydreigon,
Tornadus Incarnate,
Pyroar,
Furfrou,
Clawitzer,
Yveltal,
Hoopa Unbound,
Incineroar,
Necrozma,
Necrozma Dusk Mane,
Necrozma Dawn Wings,
Sinistea,
Polteageist,
Impidimp,
Morgrem,
Grimmsnarl,
Zarude,
Overqwil,
Lokix,
Kingambit
PokΓ©mon GO: A Quantitative Approach