Averages Batting Bowling By Team

Players

Australia batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
SE Marsh	1	2	-	153	347	130	76.50	44.09	1	-	-	20	0
SPD Smith	3	6	-	247	478	119	41.16	51.67	1	1	-	19	1
MR Marsh	3	6	-	163	277	53	27.16	58.84	-	1	-	20	3
DA Warner	3	6	-	163	184	68	27.16	88.58	-	1	1	21	2
AC Voges	3	6	-	118	325	47	19.66	36.30	-	-	-	10	0
MA Starc	3	6	1	69	117	26	13.80	58.97	-	-	2	5	3
UT Khawaja	2	4	-	55	129	26	13.75	42.63	-	-	1	7	0
SNJ O'Keefe	1	2	-	27	178	23	13.50	15.16	-	-	-	2	0
PM Nevill	3	6	-	51	209	24	8.50	24.40	-	-	1	5	0
JA Burns	2	4	-	34	78	29	8.50	43.58	-	-	1	2	1
NM Lyon	3	6	-	44	79	17	7.33	55.69	-	-	1	4	0
MC Henriques	1	2	-	8	28	4	4.00	28.57	-	-	-	0	0
JR Hazlewood	3	6	2	12	76	7	3.00	15.78	-	-	2	1	0
JM Holland	2	4	3	1	19	1	1.00	5.26	-	-	-	0	0

Australia bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
MA Starc	2016-2016	3	6	103.2	28	364	24	6/50	15.16	3.52	25.8	3	1	1	-
SNJ O'Keefe	2016-2016	1	2	26.4	6	74	3	2/32	24.66	2.77	53.3	-	-	-	-
NM Lyon	2016-2016	3	6	154.0	23	511	16	4/123	31.93	3.31	57.7	-	-	1	-
JR Hazlewood	2016-2016	3	6	84.4	19	229	7	3/21	32.71	2.70	72.5	-	-	-	-
JM Holland	2016-2016	2	4	82.0	13	274	5	2/72	54.80	3.34	98.4	-	-	-	-
MR Marsh	2016-2016	3	5	35.0	4	118	2	1/30	59.00	3.37	105.0	-	-	2	-
MC Henriques	2016-2016	1	1	2.0	-	9	0	-	-	4.50	-	-	-	-	-
DA Warner	2016-2016	3	1	1.0	-	10	0	-	-	10.00	-	-	-	-	-
AC Voges	2016-2016	3	3	4.4	-	18	0	-	-	3.85	-	-	-	2	-
SPD Smith	2016-2016	3	4	8.0	-	32	0	-	-	4.00	-	-	-	10	-
JA Burns	2016-2016	2	-	0.0	-	-	0	-	-	-	-	-	-	3	-
UT Khawaja	2016-2016	2	-	0.0	-	-	0	-	-	-	-	-	-	2	-
SE Marsh	2016-2016	1	-	0.0	-	-	0	-	-	-	-	-	-	1	-
PM Nevill	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	10	1

England batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
No records found

England bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
No records found

India batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
No records found

India bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
No records found

New Zealand batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
No records found

New Zealand bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
No records found

Sri Lanka batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
DM de Silva	3	6	1	325	565	129	65.00	57.52	1	1	-	45	1
BKG Mendis	3	6	-	296	438	176	49.33	67.57	1	1	-	35	5
LD Chandimal	3	6	-	250	651	132	41.66	38.40	1	-	-	25	1
AD Mathews	3	6	-	152	236	54	25.33	64.40	-	1	-	12	3
MDKJ Perera	3	6	-	148	197	49	24.66	75.12	-	-	-	17	1
HMRKB Herath	3	6	1	119	200	35	23.80	59.50	-	-	-	14	0
JK Silva	3	6	-	133	363	115	22.16	36.63	1	-	1	11	0
MDK Perera	3	6	-	116	173	64	19.33	67.05	-	1	1	16	2
PADLR Sandakan	3	5	3	33	37	19*	16.50	89.18	-	-	-	7	0
N Pradeep	1	2	1	10	16	10*	10.00	62.50	-	-	1	2	0
RAS Lakmal	1	2	1	9	29	5	9.00	31.03	-	-	-	1	0
FDM Karunaratne	3	6	-	41	100	22	6.83	41.00	-	-	2	4	0
MVT Fernando	1	2	1	-	5	0*	-	-	-	-	1	0	0

Sri Lanka bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
HMRKB Herath	2016-2016	3	6	145.0	41	357	28	7/64	12.75	2.46	31.0	3	1	1	-
MVT Fernando	2016-2016	1	1	2.0	-	16	1	1/16	16.00	8.00	12.0	-	-	-	-
PADLR Sandakan	2016-2016	3	5	71.4	12	207	9	4/58	23.00	2.88	47.7	-	-	1	-
MDK Perera	2016-2016	3	6	131.0	20	372	15	6/70	24.80	2.83	52.4	1	1	1	-
N Pradeep	2016-2016	1	2	22.0	9	52	2	2/36	26.00	2.36	66.0	-	-	-	-
DM de Silva	2016-2016	3	5	26.0	8	63	2	1/12	31.50	2.42	78.0	-	-	1	-
RAS Lakmal	2016-2016	1	1	13.0	-	54	1	1/54	54.00	4.15	78.0	-	-	-	-
AD Mathews	2016-2016	3	3	10.0	3	24	0	-	-	2.40	-	-	-	4	-
LD Chandimal	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	1	1
FDM Karunaratne	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
BKG Mendis	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	6	-
MDKJ Perera	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	6	3
JK Silva	2016-2016	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-

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