Averages Batting Bowling By Team IN Bangladesh

Teamwise Batting and bowling averages in WODIs in 2017 IN Bangladesh

Bangladesh batting averages

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

Bangladesh bowling averages

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

Bangladesh Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
Rumana Ahmed	5	5	-	142	258	68	28.40	55.03	-	1	1	13	1
Nigar Sultana	5	5	1	111	243	59*	27.75	45.67	-	1	-	9	1
Sharmin Akhter	5	5	-	111	206	74	22.20	53.88	-	1	-	15	0
Fargana Hoque	4	4	-	87	217	67	21.75	40.09	-	1	1	6	0
Khadija Tul Kubra	5	3	2	12	38	7	12.00	31.57	-	-	-	1	0
Jahanara Alam	5	5	2	35	66	15*	11.66	53.03	-	-	-	3	0
Sarmin Sultana	3	3	-	35	85	21	11.66	41.17	-	-	-	5	0
Salma Khatun	5	5	-	51	113	30	10.20	45.13	-	-	1	5	0
Panna Ghosh	5	4	2	19	48	8*	9.50	39.58	-	-	-	2	0
Sanjida Islam	3	3	-	28	104	16	9.33	26.92	-	-	-	1	0
Shaila Sharmin	2	2	-	15	13	15	7.50	115.38	-	-	1	3	0
Lata Mondal	3	3	-	4	9	4	1.33	44.44	-	-	2	0	0
Ritu Moni	1	1	-	1	3	1	1.00	33.33	-	-	-	0	0
Nahida Akter	4	3	-	2	13	2	0.66	15.38	-	-	2	0	0

Bangladesh Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Khadija Tul Kubra	2017-2017	5	5	37.0	1	184	11	4/33	16.72	4.97	20.1	-	-	1	-
Salma Khatun	2017-2017	5	4	16.2	1	95	4	2/30	23.75	5.81	24.5	-	-	1	-
Lata Mondal	2017-2017	3	2	8.0	-	39	1	1/29	39.00	4.87	48.0	-	-	1	-
Jahanara Alam	2017-2017	5	5	34.0	3	162	4	2/21	40.50	4.76	51.0	-	-	1	-
Panna Ghosh	2017-2017	5	4	26.0	-	133	3	2/25	44.33	5.11	52.0	-	-	1	-
Rumana Ahmed	2017-2017	5	5	36.0	2	135	3	2/30	45.00	3.75	72.0	-	-	2	-
Nahida Akter	2017-2017	4	3	20.0	2	93	2	1/17	46.50	4.65	60.0	-	-	-	-
Ritu Moni	2017-2017	1	1	6.0	-	36	0	-	-	6.00	-	-	-	-	-
Shaila Sharmin	2017-2017	2	1	7.0	-	36	0	-	-	5.14	-	-	-	-	-
Fargana Hoque	2017-2017	4	-	0.0	-	-	0	-	-	-	-	-	-	2	-
Nigar Sultana	2017-2017	5	-	0.0	-	-	0	-	-	-	-	-	-	2	4
Sanjida Islam	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	1	-
Sarmin Sultana	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Sharmin Akhter	2017-2017	5	-	0.0	-	-	0	-	-	-	-	-	-	-	-

South Africa Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
D van Niekerk	5	3	2	95	118	42*	95.00	80.50	-	-	-	15	0
M du Preez	5	5	2	161	232	79	53.66	69.39	-	2	-	14	0
L Lee	5	5	-	268	196	87	53.60	136.73	-	2	-	39	8
A Steyn	5	5	-	157	262	68	31.40	59.92	-	2	1	11	0
M Kapp	5	4	1	59	72	20*	19.66	81.94	-	-	-	7	0
CL Tryon	5	5	1	78	94	47	19.50	82.97	-	-	-	13	0
S Luus	4	3	-	21	48	16	7.00	43.75	-	-	-	4	0
S Jafta	3	2	-	12	21	12	6.00	57.14	-	-	1	1	0
O Kirsten	2	1	-	5	11	5	5.00	45.45	-	-	-	1	0
A Khaka	4	3	1	9	23	6	4.50	39.13	-	-	1	0	0
L Goodall	2	1	-	3	9	3	3.00	33.33	-	-	-	0	0
MM Letsoalo	5	2	-	5	37	4	2.50	13.51	-	-	-	0	0
Y Fourie	3	1	1	16	20	16*	-	80.00	-	-	-	0	0
M Daniels	2	-	-	-	0	-	-	-	-	-	-	0	0

South Africa Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
O Kirsten	2017-2017	2	2	17.0	7	30	5	4/10	6.00	1.76	20.4	-	-	-	-
D van Niekerk	2017-2017	5	5	28.3	2	84	6	2/18	14.00	2.94	28.5	-	-	2	-
M Kapp	2017-2017	5	4	31.0	8	76	5	2/18	15.20	2.45	37.2	-	-	1	-
M Daniels	2017-2017	2	2	17.0	3	39	2	2/21	19.50	2.29	51.0	-	-	-	-
MM Letsoalo	2017-2017	5	5	47.0	10	120	6	3/13	20.00	2.55	47.0	-	-	1	-
S Luus	2017-2017	4	4	38.0	1	153	7	3/52	21.85	4.02	32.5	-	-	2	-
A Khaka	2017-2017	4	4	39.0	3	147	6	3/34	24.50	3.76	39.0	-	-	2	-
Y Fourie	2017-2017	3	3	18.0	2	57	2	2/22	28.50	3.16	54.0	-	-	1	-
M du Preez	2017-2017	5	-	0.0	-	-	0	-	-	-	-	-	-	-	-
L Goodall	2017-2017	2	-	0.0	-	-	0	-	-	-	-	-	-	1	-
S Jafta	2017-2017	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
L Lee	2017-2017	5	-	0.0	-	-	0	-	-	-	-	-	-	5	2
A Steyn	2017-2017	5	-	0.0	-	-	0	-	-	-	-	-	-	3	-
CL Tryon	2017-2017	5	-	0.0	-	-	0	-	-	-	-	-	-	1	-

Sri Lanka batting averages

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

Sri Lanka bowling averages

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

Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years

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