Individual Most Matches Career

Most matches in FC+LA+T20s in 2018

Most matches

Player	Span	Mat	Runs	HS	Ave	100	Wkts	BBI	Ave	5	Ct	St
RA Herman	2018-2018	20	752	114	39.57	1	-	-	-	-	26	4
L Nkese	2018-2018	20	42	11*	7.00	-	30	4/35	22.66	-	5	-
G Mahlokwana	2018-2018	17	157	51	15.70	-	29	4/22	26.17	-	10	-
N Brand	2018-2018	14	697	159	43.56	1	13	2/16	27.00	-	12	-
JL du Plooy	2018-2018	14	643	114	64.30	3	7	2/20	34.57	-	9	-
VB Mahlangu	2018-2018	14	676	169	35.57	2	-	-	-	-	4	-
DS Rosier	2018-2018	14	389	108	32.41	1	6	2/3	33.83	-	6	-
J Pillay	2018-2018	12	321	75*	22.92	-	-	-	-	-	3	-
TP Kaber	2018-2018	10	423	79*	38.45	-	22	4/140	30.50	-	8	-
R Trumpelmann	2018-2018	10	91	23	11.37	-	20	3/24	26.45	-	-	-
W Makwetu	2018-2018	9	196	63	24.50	-	-	-	-	-	19	1
GG Peters	2018-2018	9	8	4*	8.00	-	21	4/37	25.28	-	3	-
R Moonsamy	2018-2018	8	219	52	27.37	-	-	-	-	-	12	-
M Pretorius	2018-2018	8	254	81*	28.22	-	20	5/41	22.50	1	-	-
M Van Buuren	2018-2018	8	134	29	16.75	-	-	-	-	-	1	-
R Arendse	2018-2018	7	60	20	8.57	-	7	2/21	41.71	-	1	-
R de Swardt	2018-2018	7	122	66	40.66	-	9	3/29	20.55	-	4	-
T de Zorzi	2018-2018	7	182	74	20.22	-	-	-	-	-	3	-
GVJ Koopman	2018-2018	7	112	70*	18.66	-	5	3/37	43.40	-	3	-
BT Koto	2018-2018	7	208	46	20.80	-	-	-	-	-	3	-
SF Mofokeng	2018-2018	5	-	-	-	-	4	4/47	22.75	-	-	-
AP Agathangelou	2018-2018	4	348	182	69.60	1	-	-	-	-	8	-
D Ferreira	2018-2018	4	66	43	22.00	-	6	2/18	15.00	-	-	-
EL Hawken	2018-2018	4	63	28	12.60	-	10	3/21	20.90	-	2	-
LJ Kgoatle	2018-2018	4	64	44	10.66	-	-	-	-	-	4	-
K Baloyi	2018-2018	3	1	1	1.00	-	-	-	-	-	2	-
C Bosch	2018-2018	3	175	68	87.50	-	7	4/11	18.42	-	3	-
WSS Klopper	2018-2018	3	88	49	17.60	-	12	4/41	16.66	-	4	-
D Mmako	2018-2018	3	109	44	21.80	-	-	-	-	-	-	-
SA Mothoa	2018-2018	3	-	-	-	-	7	3/29	21.14	-	2	-
JD Vandiar	2018-2018	3	167	139	55.66	1	-	-	-	-	2	-
CJ Dala	2018-2018	2	7	7	7.00	-	16	6/35	7.68	1	-	-
TL Moreki	2018-2018	1	-	-	-	-	5	3/32	19.80	-	-	-
I Moseki	2018-2018	1	-	-	-	-	4	4/21	11.50	-	-	-

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