Bowling Best Career Strike Rate - Zimbabwe

Players - Zimbabwe

Best strike rates

Player	Span	Mat	Overs	Mdns	Balls	Runs	Wkts	BBI	Ave	Econ	SR	4	5	10
TL Chatara	2016-2016	3	10.0	-	60	86	4	2/24	21.50	8.60	15.00	-	-	-
N Madziva	2015-2016	8	37.4	2	226	258	13	4/34	19.84	6.84	17.38	1	-	-
DT Tiripano	2016-2016	5	17.4	-	106	152	6	2/20	25.33	8.60	17.66	-	-	-
AG Cremer	2015-2016	20	116.3	5	699	590	32	5/20	18.43	5.06	21.84	-	1	-
TS Chisoro	2015-2016	15	89.0	5	534	420	21	3/16	20.00	4.71	25.42	-	-	-
E Chigumbura	2015-2016	32	19.0	-	114	110	4	3/32	27.50	5.78	28.50	-	-	-
LM Jongwe	2015-2016	27	152.1	11	913	875	32	5/6	27.34	5.75	28.53	-	1	-
WP Masakadza	2015-2016	17	113.1	8	679	573	23	4/21	24.91	5.06	29.52	2	-	-
MN Waller	2015-2016	23	5.0	-	30	35	1	1/24	35.00	7.00	30.00	-	-	-
T Panyangara	2015-2016	20	133.0	8	798	664	25	3/30	26.56	4.99	31.92	-	-	-
Sikandar Raza	2015-2016	33	102.0	5	612	527	19	3/40	27.73	5.16	32.21	-	-	-
CJ Chibhabha	2015-2016	24	74.0	4	444	380	13	4/25	29.23	5.13	34.15	1	-	-
P Utseya	2015-2015	2	6.0	-	36	52	1	1/20	52.00	8.66	36.00	-	-	-
T Muzarabani	2015-2016	10	59.5	2	359	370	9	2/32	41.11	6.18	39.88	-	-	-
CT Mutombodzi	2015-2015	8	29.0	-	174	149	4	2/33	37.25	5.13	43.50	-	-	-
SC Williams	2015-2016	24	111.4	2	670	604	12	2/31	50.33	5.40	55.83	-	-	-
J Nyumbu	2015-2015	8	54.2	-	326	272	4	2/35	68.00	5.00	81.50	-	-	-
RW Chakabva	2015-2015	4	0.0	-	0	-	-	-	-	-	-	-	-	-
BB Chari	2015-2015	4	0.0	-	0	-	-	-	-	-	-	-	-	-
CR Ervine	2015-2015	18	0.0	-	0	-	-	-	-	-	-	-	-	-
H Masakadza	2015-2016	17	3.0	-	18	20	-	-	-	6.66	-	-	-	-
PJ Moor	2015-2016	11	0.0	-	0	-	-	-	-	-	-	-	-	-
CB Mpofu	2015-2015	2	7.0	-	42	68	-	-	-	9.71	-	-	-	-
R Mutumbami	2015-2016	29	0.0	-	0	-	-	-	-	-	-	-	-	-
V Sibanda	2016-2016	7	0.0	-	0	-	-	-	-	-	-	-	-	-
BV Vitori	2016-2016	3	11.0	-	66	98	-	-	-	8.90	-	-	-	-

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