Batting Highest Career Batting Average - Sussex

Highest averages in 2015 in FC+LA+T20s - Sussex

Highest averages

Player	Span	Mat	Inns	NO	Runs	HS	Ave	BF	SR	100	50	0	4s	6s
AC Thomas	2015-2015	5	4	3	54	32*	54.00	63	85.71	-	-	-	4	1
LJ Wright	2015-2015	36	48	6	2010	226*	47.85	2323	86.52	3	13	2	259	52
Ashar Zaidi	2015-2015	9	10	1	354	106	39.33	541	65.43	1	1	-	55	2
GJ Bailey	2015-2015	14	12	3	340	112	37.77	330	103.03	1	1	-	22	8
GH Dockrell	2015-2015	1	2	1	37	37*	37.00	51	72.54	-	-	1	6	0
BC Brown	2015-2015	23	33	4	1053	144*	36.31	1607	65.52	4	4	5	135	4
MW Machan	2015-2015	33	41	3	1332	192	35.05	1581	84.25	3	5	3	156	16
LJ Hatchett	2015-2015	3	3	2	35	25	35.00	104	33.65	-	-	-	4	0
DPMD Jayawardene	2015-2015	8	8	-	273	53	34.12	194	140.72	-	2	-	34	7
CD Nash	2015-2015	33	44	2	1410	142*	33.57	1882	74.92	2	8	1	191	16
MH Yardy	2015-2015	28	27	3	764	124	31.83	1390	54.96	2	4	4	106	1
EC Joyce	2015-2015	21	31	-	978	100	31.54	1809	54.06	1	4	1	118	9
TE Linley	2015-2015	1	2	1	31	21*	31.00	88	35.22	-	-	-	6	0
LWP Wells	2015-2015	17	25	-	652	108	26.08	1387	47.00	1	4	3	101	4
CJ Jordan	2015-2015	10	12	2	256	56*	25.60	269	95.16	-	1	-	28	6
A Shahzad	2015-2015	6	10	2	182	45*	22.75	394	46.19	-	-	2	24	2
PD Salt	2015-2015	1	1	-	22	22	22.00	20	110.00	-	-	-	3	1
Craig Cachopa	2015-2015	30	34	5	612	89*	21.10	850	72.00	-	3	3	69	20
OE Robinson	2015-2015	26	26	6	343	110	17.15	478	71.75	1	-	2	51	0
HZ Finch	2015-2015	13	11	1	169	35*	16.90	259	65.25	-	-	-	17	2
PI Burgoyne	2015-2015	2	2	-	26	13	13.00	65	40.00	-	-	-	4	0
WAT Beer	2015-2015	20	14	2	125	42	10.41	148	84.45	-	-	2	7	3
SJ Magoffin	2015-2015	19	24	4	208	41	10.40	503	41.35	-	-	6	38	0
ME Hobden	2015-2015	13	18	9	87	65*	9.66	207	42.02	-	1	5	11	2
CJ Liddle	2015-2015	22	9	4	48	18	9.60	112	42.85	-	-	1	5	1
FJ Hudson-Prentice	2015-2015	1	2	-	15	15	7.50	30	50.00	-	-	1	2	0
SA Piolet	2015-2015	5	2	1	7	7*	7.00	7	100.00	-	-	1	1	0
TS Mills	2015-2015	17	8	2	22	8	3.66	64	34.37	-	-	2	2	0
CF Jackson	2015-2015	1	1	1	34	34*	-	47	72.34	-	-	-	4	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