Averages Batting Bowling By Team - Tanzania

Players - Tanzania

Tanzania batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
AP Rajeevan	12	12	1	363	309	63	33.00	117.47	-	3	-	38	6
AR Patwa	12	12	-	317	270	58	26.41	117.40	-	2	1	35	13
II Selemani	12	12	-	306	193	59	25.50	158.54	-	3	2	30	21
S Thakor	11	10	2	152	86	44	19.00	176.74	-	-	2	18	7
AM Kimote	12	10	6	73	65	32	18.25	112.30	-	-	-	7	1
MO Kitunda	9	9	1	135	139	46	16.87	97.12	-	-	-	12	6
M Yunusu Issa	12	9	3	90	64	33*	15.00	140.62	-	-	-	4	6
Shaik Basha	9	7	2	69	60	43	13.80	115.00	-	-	-	1	4
K Nassoro	10	10	-	96	126	29	9.60	76.19	-	-	2	11	0
DA Mehta	2	1	-	7	10	7	7.00	70.00	-	-	-	1	0
SA Jumbe	12	8	2	33	45	12*	5.50	73.33	-	-	1	5	0
Jitin Singh	4	2	-	5	14	3	2.50	35.71	-	-	-	0	0
YM Nkanya	12	4	1	-	8	0*	-	-	-	-	3	0	0
JJ Nyambo	3	1	1	2	3	2*	-	66.66	-	-	-	0	0

Tanzania bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Shaik Basha	2023-2023	9	7	15.0	-	137	9	3/32	15.22	9.13	10.0	-	-	3	-
M Yunusu Issa	2023-2023	12	11	29.0	-	247	14	3/24	17.64	8.51	12.4	-	-	4	-
SA Jumbe	2023-2023	12	12	40.0	-	295	15	3/22	19.66	7.37	16.0	-	-	2	-
AM Kimote	2023-2023	12	12	39.2	1	304	14	3/7	21.71	7.72	16.8	-	-	7	-
YM Nkanya	2023-2023	12	12	43.0	-	297	13	4/25	22.84	6.90	19.8	-	-	5	-
JJ Nyambo	2023-2023	3	3	12.0	-	98	4	2/37	24.50	8.16	18.0	-	-	1	-
K Nassoro	2023-2023	10	8	18.1	-	142	5	1/2	28.40	7.81	21.8	-	-	6	-
S Thakor	2023-2023	11	11	29.0	-	244	8	2/33	30.50	8.41	21.7	-	-	5	-
Jitin Singh	2023-2023	4	-	0.0	-	-	0	-	-	-	-	-	-	-	-
MO Kitunda	2023-2023	9	-	0.0	-	-	0	-	-	-	-	-	-	3	1
DA Mehta	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	4	-
AR Patwa	2023-2023	12	-	0.0	-	-	0	-	-	-	-	-	-	6	-
AP Rajeevan	2023-2023	12	-	0.0	-	-	0	-	-	-	-	-	-	4	1
II Selemani	2023-2023	12	-	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