Bowling Best Career Economy Rate

Best economy rates in 2019 in FC+LA+T20s

Best economy rates

Player	Span	Mat	Overs	Mdns	Balls	Runs	Wkts	BBI	Ave	Econ	SR	4	5	10
M van Greuning	2019-2019	1	10.0	4	60	20	-	-	-	2.00	-	-	-	-
J Draai	2019-2019	3	41.0	16	246	101	9	3/21	11.22	2.46	27.3	-	-	-
E Leie	2019-2019	5	72.0	11	432	217	15	4/44	14.46	3.01	28.8	2	-	-
B Swanepoel	2019-2019	6	85.0	24	510	260	11	3/29	23.63	3.05	46.3	-	-	-
J van Dyk	2019-2019	10	160.3	38	963	491	27	5/27	18.18	3.05	35.6	-	2	-
T Ntuli	2019-2019	6	101.4	17	610	315	9	4/122	35.00	3.09	67.7	1	-	-
SA Whitehead	2019-2019	10	205.1	44	1231	650	19	3/18	34.21	3.16	64.7	-	-	-
H Olivier	2019-2019	11	5.0	1	30	16	3	3/16	5.33	3.20	10.0	-	-	-
P Moletsane	2019-2019	3	24.2	2	146	80	3	2/38	26.66	3.28	48.6	-	-	-
CA Dry	2019-2019	11	177.2	34	1064	587	28	5/79	20.96	3.31	38.0	1	1	-
P Mogoera	2019-2019	26	16.0	3	96	53	2	1/4	26.50	3.31	48.0	-	-	-
LT Mdashe	2019-2019	1	5.0	-	30	17	-	-	-	3.40	-	-	-	-
P Botha	2019-2019	26	192.1	24	1153	665	19	3/25	35.00	3.46	60.6	-	-	-
SC van Schalkwyk	2019-2019	12	128.1	28	769	486	26	5/19	18.69	3.79	29.5	-	2	-
RK Terblanche	2019-2019	25	241.5	48	1451	928	23	3/5	40.34	3.83	63.0	-	-	-
D Jansen	2019-2019	14	159.2	24	956	622	22	3/38	28.27	3.90	43.4	-	-	-
T Mnyaka	2019-2019	13	151.4	23	910	606	25	4/16	24.24	3.99	36.4	3	-	-
N van Heerden	2019-2019	16	208.1	26	1249	880	32	4/19	27.50	4.22	39.0	1	-	-
K Mogotsi	2019-2019	18	4.1	-	25	19	-	-	-	4.56	-	-	-	-
P du Plessis	2019-2019	1	8.0	1	48	41	1	1/41	41.00	5.12	48.0	-	-	-
G Coetzee	2019-2019	2	11.0	2	66	60	1	1/26	60.00	5.45	66.0	-	-	-
Peetjan du Plessis	2019-2019	1	5.0	-	30	32	-	-	-	6.40	-	-	-	-
S Mavanda	2019-2019	13	1.0	-	6	14	-	-	-	14.00	-	-	-	-
AGS Gous	2019-2019	11	0.0	-	0	-	-	-	-	-	-	-	-	-
W Makwetu	2019-2019	6	0.0	-	0	-	-	-	-	-	-	-	-	-
D Ridgaard	2019-2019	19	0.0	-	0	-	-	-	-	-	-	-	-	-
R van Tonder	2019-2019	9	0.0	-	0	-	-	-	-	-	-	-	-	-
W Victor	2019-2019	7	0.0	-	0	-	-	-	-	-	-	-	-	-
PJ Visser	2019-2019	1	0.0	-	0	-	-	-	-	-	-	-	-	-

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