Dig (Ground charged)

type effectiveness


	-1	-1	-1		-1	-1		-3	-1	-2	-1	-1	-1		-1			-1
	-1			1			1	-2		-1				1		1	1
	-1			1			1	-2		-1				1		1	1
		1	1	1	1	1	2	-1	1		1	1	1	2	1	2	2	1
	-1			1			1	-2		-1				1		1	1
	-1			1			1	-2		-1				1		1	1
		1	1	2	1	1	1	-1	1		1	1	1	2	1	2	2	1
	-3	-2	-2	-1	-2	-2	-1	-2	-2	-3	-2	-2	-2	-1	-2	-1	-1	-2
	-1			1			1	-2		-1				1		1	1
	-2	-1	-1		-1	-1		-3	-1	-1	-1	-1	-1		-1			-1
	-1			1			1	-2		-1				1		1	1
	-1			1			1	-2		-1				1		1	1
	-1			1			1	-2		-1				1		1	1
		1	1	2	1	1	2	-1	1		1	1	1	1	1	2	2	1
	-1			1			1	-2		-1				1		1	1
		1	1	2	1	1	2	-1	1		1	1	1	2	1	1	2	1
		1	1	2	1	1	2	-1	1		1	1	1	2	1	2	1	1
	-1			1			1	-2		-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
🗙 (-4)	50	8.54	13.7	21.9	35	56	89.6	0.171	0.273	0.438	0.7	1.12	1.79
✓ (-4)	50	10.2	16.4	26.2	42	67.2	108	0.205	0.328	0.525	0.84	1.34	2.15
🗙 (-3)	50	9.76	15.6	25	40	64	102	0.195	0.312	0.5	0.8	1.28	2.05
✓ (-3)	50	11.7	18.8	30	48	76.8	123	0.234	0.375	0.6	0.96	1.54	2.46
🗙 (-2)	50	11.4	18.2	29.2	46.7	74.7	119	0.228	0.365	0.583	0.933	1.49	2.39
✓ (-2)	50	13.7	21.9	35	56	89.6	143	0.273	0.438	0.7	1.12	1.79	2.87
🗙 (-1)	50	13.7	21.9	35	56	89.6	143	0.273	0.438	0.7	1.12	1.79	2.87
✓ (-1)	50	16.4	26.3	42	67.2	108	172	0.328	0.525	0.84	1.34	2.15	3.44
🗙	50	17.1	27.3	43.8	70	112	179	0.342	0.547	0.875	1.4	2.24	3.58
✓	50	20.5	32.8	52.5	84	134	215	0.41	0.656	1.05	1.68	2.69	4.3
🗙 (1)	50	21.4	34.2	54.7	87.5	140	224	0.427	0.684	1.09	1.75	2.8	4.48
✓ (1)	50	25.6	41	65.6	105	168	269	0.512	0.82	1.31	2.1	3.36	5.38
🗙 (2)	50	25.6	41	65.6	105	168	269	0.512	0.82	1.31	2.1	3.36	5.38
✓ (2)	50	30.7	49.2	78.8	126	202	323	0.615	0.984	1.58	2.52	4.03	6.45
🗙 (3)	50	29.9	47.9	76.6	122	196	314	0.598	0.957	1.53	2.45	3.92	6.27
✓ (3)	50	35.9	57.4	91.9	147	235	376	0.717	1.15	1.84	2.94	4.7	7.53
🗙 (4)	50	34.2	54.7	87.5	140	224	358	0.683	1.09	1.75	2.8	4.48	7.17
✓ (4)	50	41	65.6	105	168	269	430	0.82	1.31	2.1	3.36	5.38	8.6

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
🗙	9	50	24.4	39.1	62.5	100	160	256	0.488	0.781	1.25	2	3.2	5.12	2.71	4.34	6.94	11.1	17.8	28.4
✓	9	50	29.3	46.9	75	120	192	307	0.586	0.938	1.5	2.4	3.84	6.14	3.25	5.21	8.33	13.3	21.3	34.1

users

Rattata, Raticate, Sandshrew, Nidorina, Nidorino, Diglett, Alolan Diglett, Galarian Meowth, Geodude, Graveler, Cubone, Marowak, Eevee, Quilava, Sentret, Furret, Wooper, Paldean Wooper, Dunsparce, Gligar, Pupitar, Mudkip, Poochyena, Zigzagoon, Galarian Zigzagoon, Linoone, Galarian Linoone, Shedinja, Skitty, Spinda, Trapinch, Zangoose, Baltoy, Gible, Gabite, Hippopotas, Patrat, Lillipup, Herdier, Drilbur, Sandile, Bunnelby, Diggersby, Binacle, Silcobra, Sandaconda, Lechonk, Oinkologne Male, Oinkologne Female, Maschiff, Mabosstiff, Wiglett, Wugtrio, Greavard, Houndstone, Dudunsparce

Pokémon GO: A Quantitative Approach