Batting Most Runs Career - Central Districts

Most runs in 2015 in FC+LA+T20s - Central Districts

Most runs

Player	Span	Mat	Inns	NO	Runs	HS	Ave	BF	SR	100	50	0	4s	6s
WA Young	2015-2015	29	35	3	1322	132	41.31	2151	61.45	2	10	1	142	21
GH Worker	2015-2015	28	35	-	1236	210	35.31	1667	74.14	5	1	5	152	24
TC Bruce	2015-2015	23	30	3	1170	112*	43.33	1462	80.02	1	11	1	122	28
CFK van Wyk	2015-2015	23	28	7	906	114*	43.14	1573	57.59	1	8	-	106	1
BS Smith	2015-2015	11	16	2	769	244	54.92	1407	54.65	2	3	2	90	3
GR Hay	2015-2015	10	18	1	624	157	36.70	1487	41.96	1	3	1	83	0
D Cleaver	2015-2015	22	23	1	515	74	23.40	609	84.56	-	3	1	53	14
DAJ Bracewell	2015-2015	13	15	3	472	105	39.33	685	68.90	1	1	-	52	13
DPMD Jayawardene	2015-2015	4	4	-	249	97	62.25	174	143.10	-	3	-	31	6
K Noema-Barnett	2015-2015	9	9	3	246	66*	41.00	294	83.67	-	1	-	23	8
JA Clarkson	2015-2015	13	13	2	241	64*	21.90	213	113.14	-	1	4	27	6
JM How	2015-2015	8	8	-	153	64	19.12	113	135.39	-	2	1	26	4
DS Robinson	2015-2015	8	9	-	153	42	17.00	401	38.15	-	-	3	10	0
SHA Rance	2015-2015	16	14	4	148	40	14.80	174	85.05	-	-	2	21	4
BJ Small	2015-2015	17	14	4	140	37	14.00	167	83.83	-	-	1	16	4
MO Kain	2015-2015	20	14	7	138	30	19.71	135	102.22	-	-	1	12	3
AW Mathieson	2015-2015	24	16	7	125	27	13.88	303	41.25	-	-	2	18	3
AF Milne	2015-2015	10	7	1	120	61	20.00	183	65.57	-	1	-	8	1
BM Wheeler	2015-2015	5	8	1	118	55*	16.85	217	54.37	-	1	2	16	0
AY Patel	2015-2015	9	14	2	96	23*	8.00	353	27.19	-	-	3	12	0
JD Ryder	2015-2015	3	3	-	87	58	29.00	71	122.53	-	1	-	11	2
MIG Senaratne	2015-2015	4	4	-	55	35	13.75	30	183.33	-	-	1	6	4
DT Meiring	2015-2015	3	5	-	49	22	9.80	142	34.50	-	-	1	6	0
LRPL Taylor	2015-2015	1	1	-	48	48	48.00	63	76.19	-	-	-	5	0
ME Claydon	2015-2015	8	4	2	28	17*	14.00	28	100.00	-	-	-	3	0
NA Patel	2015-2015	1	2	2	25	14*	-	35	71.42	-	-	-	2	0
BM Tickner	2015-2015	4	6	2	21	9	5.25	65	32.30	-	-	1	3	0
SN Smidt	2015-2015	3	1	-	16	16	16.00	16	100.00	-	-	-	3	0
ML Thomas	2015-2015	1	1	-	-	-	-	7	-	-	-	1	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