Averages Batting Bowling By Team - vs West Indies

Cricket Records in West Indies in Bangladesh ODI Series, 2018/19 - vs West Indies

Bangladesh batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
Mushfiqur Rahim	3	3	2	133	164	62	133.00	81.09	-	2	-	12	1
Tamim Iqbal	3	3	1	143	191	81*	71.50	74.86	-	2	-	13	1
Shakib Al Hasan	3	2	-	95	88	65	47.50	107.95	-	1	-	10	1
Mahmudullah	3	2	1	44	72	30	44.00	61.11	-	-	-	3	1
Soumya Sarkar	3	3	-	105	102	80	35.00	102.94	-	1	-	7	6
Litton Das	3	3	-	72	104	41	24.00	69.23	-	-	-	11	0
Imrul Kayes	2	2	-	4	8	4	2.00	50.00	-	-	1	1	0
Mehidy Hasan Miraz	3	1	1	10	10	10*	-	100.00	-	-	-	1	0
Mashrafe Mortaza	3	1	1	6	11	6*	-	54.54	-	-	-	0	0
Mohammad Mithun	1	-	-	-	0	-	-	-	-	-	-	0	0
Mohammad Saifuddin	1	-	-	-	0	-	-	-	-	-	-	0	0
Mustafizur Rahman	3	-	-	-	0	-	-	-	-	-	-	0	0
Rubel Hossain	2	-	-	-	0	-	-	-	-	-	-	0	0

Bangladesh bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Mehidy Hasan Miraz	2018-2018	3	3	29.0	1	98	6	4/29	16.33	3.37	29.0	-	-	3	-
Mashrafe Mortaza	2018-2018	3	3	29.0	2	116	6	3/30	19.33	4.00	29.0	-	-	-	-
Mustafizur Rahman	2018-2018	3	3	30.0	2	131	5	3/35	26.20	4.36	36.0	-	-	1	-
Shakib Al Hasan	2018-2018	3	3	29.0	-	104	3	2/40	34.66	3.58	58.0	-	-	-	-
Mohammad Saifuddin	2018-2018	1	1	9.0	-	38	1	1/38	38.00	4.22	54.0	-	-	-	-
Rubel Hossain	2018-2018	2	2	19.0	-	118	3	2/57	39.33	6.21	38.0	-	-	1	-
Mahmudullah	2018-2018	3	2	4.4	-	26	0	-	-	5.57	-	-	-	-	-
Imrul Kayes	2018-2018	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Litton Das	2018-2018	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
Mohammad Mithun	2018-2018	1	-	0.0	-	-	0	-	-	-	-	-	-	2	-
Mushfiqur Rahim	2018-2018	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
Soumya Sarkar	2018-2018	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
Tamim Iqbal	2018-2018	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