Averages Batting Bowling By Team - England

Players - England

England batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
JM Bairstow	7	11	1	753	1199	167*	75.30	62.80	2	4	-	77	1
AN Cook	7	13	3	635	1043	105	63.50	60.88	1	4	-	79	1
MM Ali	7	11	3	505	757	155*	63.12	66.71	2	2	1	56	7
JE Root	7	12	1	599	911	254	54.45	65.75	1	3	1	69	0
CR Woakes	6	10	3	282	638	66	40.28	44.20	-	2	-	37	1
AD Hales	7	13	-	437	958	94	33.61	45.61	-	4	-	60	2
GS Ballance	4	7	-	195	443	70	27.85	44.01	-	1	-	27	0
BA Stokes	2	2	-	46	60	34	23.00	76.66	-	-	-	8	0
JM Vince	7	11	-	212	406	42	19.27	52.21	-	-	2	36	0
ST Finn	6	9	3	89	231	17	14.83	38.52	-	-	-	12	0
JM Anderson	6	6	3	41	55	17	13.66	74.54	-	-	-	6	0
NRD Compton	3	5	1	51	121	22*	12.75	42.14	-	-	1	7	0
SCJ Broad	7	8	-	59	138	17	7.37	42.75	-	-	1	5	0
JT Ball	1	2	-	7	10	4	3.50	70.00	-	-	-	1	0

England bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
JM Anderson	2016-2016	6	11	196.5	57	458	30	5/16	15.26	2.32	39.3	3	1	2	-
CR Woakes	2016-2016	6	12	202.0	51	585	34	6/70	17.20	2.89	35.6	2	1	3	-
SCJ Broad	2016-2016	7	13	240.3	60	667	25	4/21	26.68	2.77	57.7	-	-	5	-
BA Stokes	2016-2016	2	3	27.2	3	85	3	2/39	28.33	3.10	54.6	-	-	1	-
ST Finn	2016-2016	6	11	164.1	23	549	12	3/26	45.75	3.34	82.0	-	-	2	-
JE Root	2016-2016	7	7	13.2	3	46	1	1/0	46.00	3.45	80.0	-	-	15	-
MM Ali	2016-2016	7	13	159.0	23	692	13	3/88	53.23	4.35	73.3	-	-	3	-
JT Ball	2016-2016	1	2	35.0	12	88	1	1/51	88.00	2.51	210.0	-	-	-	-
JM Vince	2016-2016	7	4	4.0	1	13	0	-	-	3.25	-	-	-	3	-
JM Bairstow	2016-2016	7	-	0.0	-	-	0	-	-	-	-	-	-	33	1
GS Ballance	2016-2016	4	-	0.0	-	-	0	-	-	-	-	-	-	3	-
NRD Compton	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
AN Cook	2016-2016	7	-	0.0	-	-	0	-	-	-	-	-	-	7	-
AD Hales	2016-2016	7	-	0.0	-	-	0	-	-	-	-	-	-	7	-

Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years

Performances in matches that overlap decades are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures
Performances in matches that overlap years are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures