Batting Highest Career Batting Average - Sri Lanka

Highest averages in 2021 in FC+LA+T20s - Sri Lanka

Highest averages

Player	Span	Mat	Inns	NO	Runs	HS	Ave	BF	SR	100	50	0	4s	6s
FDM Karunaratne	2021-2023	40	57	3	2712	244	50.22	4414	61.44	8	16	1	308	2
KNM Fernando	2023-2023	5	8	-	385	205	48.12	716	53.77	1	1	-	45	4
S Samarawickrama	2021-2023	31	29	4	1020	108	40.80	1103	92.47	2	6	3	102	6
HDRL Thirimanne	2021-2022	9	17	-	684	140	40.23	1596	42.85	2	4	2	72	0
LD Chandimal	2021-2023	43	56	10	1825	206*	39.67	3097	58.92	3	10	1	156	26
SSD Arachchige	2023-2023	3	2	-	79	57	39.50	100	79.00	-	1	-	4	1
AD Mathews	2021-2023	32	45	4	1495	199	36.46	3075	48.61	5	5	5	132	22
BKG Mendis	2021-2023	89	99	8	3109	245	34.16	3683	84.41	3	22	10	304	81
P Nissanka	2021-2023	100	105	6	3363	137	33.96	4245	79.22	4	27	8	372	34
KIC Asalanka	2021-2023	90	87	9	2471	110	31.67	2604	94.89	2	14	6	195	70
DM de Silva	2021-2023	87	96	9	2729	166	31.36	3911	69.77	4	12	4	287	34
KNA Bandara	2021-2023	12	10	2	238	55*	29.75	305	78.03	-	2	-	13	6
BOP Fernando	2021-2023	18	29	2	737	91	27.29	1472	50.06	-	6	1	79	10
MDKJ Perera	2021-2023	34	37	2	942	120	26.91	998	94.38	1	6	4	101	12
N Dickwella	2021-2023	24	36	4	861	96	26.90	1287	66.89	-	7	1	91	3
PHKD Mendis	2021-2022	7	7	-	181	61	25.85	329	55.01	-	2	-	14	1
MDK Perera	2021-2021	2	4	-	95	67	23.75	223	42.60	-	1	1	13	1
MD Shanaka	2021-2023	97	90	14	1723	108*	22.67	1752	98.34	2	5	8	132	60
PBB Rajapaksa	2021-2023	35	32	4	627	71*	22.39	485	129.27	-	3	6	63	23
C Karunaratne	2021-2023	68	58	22	742	75	20.61	849	87.39	-	1	6	47	20
MD Gunathilaka	2021-2022	31	31	-	620	96	20.00	617	100.48	-	4	4	70	13
MADI Hemantha	2023-2023	5	4	2	39	22	19.50	39	100.00	-	-	1	3	1
PW Hasaranga	2021-2023	81	72	11	1171	80*	19.19	1066	109.84	-	5	4	116	29
RTM Mendis	2021-2023	20	25	3	417	45*	18.95	817	51.04	-	-	2	40	3
WIA Fernando	2021-2023	29	28	2	479	118	18.42	565	84.77	1	2	3	40	8
I Udana	2021-2021	8	7	3	73	21	18.25	76	96.05	-	-	1	3	3
M Bhanuka	2021-2021	9	10	-	174	36	17.40	237	73.41	-	-	-	21	0
DN Wellalage	2022-2023	19	17	3	236	42*	16.85	316	74.68	-	-	3	19	5
PADLR Sandakan	2021-2021	10	6	4	33	16*	16.50	53	62.26	-	-	1	3	0
L Croospulle	2023-2023	1	1	-	16	16	16.00	12	133.33	-	-	-	2	1
MNK Fernando	2023-2023	5	5	-	80	50	16.00	113	70.79	-	1	-	11	0
M Theekshana	2021-2023	75	39	15	313	38*	13.04	594	52.69	-	-	8	23	5
B Fernando	2021-2022	14	5	1	48	20	12.00	52	92.30	-	-	-	5	1
CAK Rajitha	2021-2023	40	30	9	228	33	10.85	475	48.00	-	-	6	27	1
MVT Fernando	2021-2023	11	13	8	52	21*	10.40	180	28.88	-	-	3	6	1
A Dananjaya	2021-2021	12	6	4	20	9*	10.00	20	100.00	-	-	1	1	0
P Jayawickrama	2021-2022	15	10	8	19	8*	9.50	49	38.77	-	-	1	2	0
J Liyanage	2022-2022	3	3	-	28	11	9.33	45	62.22	-	-	-	0	0
S Daniel	2023-2023	1	1	-	9	9	9.00	6	150.00	-	-	-	2	0
RS Fernando	2023-2023	1	1	-	9	9	9.00	10	90.00	-	-	-	1	0
RAS Lakmal	2021-2022	10	14	2	98	22*	8.16	210	46.66	-	-	3	8	3
N Thushara	2022-2023	5	3	2	8	6	8.00	9	88.88	-	-	-	1	0
L Embuldeniya	2021-2022	10	18	1	135	40	7.94	403	33.49	-	-	5	10	6
PVD Chameera	2021-2023	62	42	10	236	29	7.37	405	58.27	-	-	4	18	4
NLTC Perera	2021-2021	5	4	-	25	19	6.25	36	69.44	-	-	-	2	0
JDF Vandersay	2022-2023	13	8	2	37	8	6.16	72	51.38	-	-	1	3	0
N Pradeep	2021-2022	6	2	1	6	5*	6.00	6	100.00	-	-	-	1	0
N Vimukthi	2023-2023	1	1	-	6	6	6.00	12	50.00	-	-	-	0	0
CBRLS Kumara	2021-2023	38	19	6	76	13*	5.84	187	40.64	-	-	3	12	1
D Madushanka	2022-2023	27	15	9	35	19	5.83	88	39.77	-	-	3	5	0
NGRP Jayasuriya	2022-2023	9	13	-	71	16	5.46	268	26.49	-	-	2	7	0
K Mishara	2022-2022	3	3	-	15	13	5.00	19	78.94	-	-	-	2	0
AM Fernando	2021-2023	19	20	9	47	10*	4.27	147	31.97	-	-	6	9	0
Pramod Madushan	2022-2023	11	6	1	19	15	3.80	65	29.23	-	-	1	2	0
M Pathirana	2022-2023	13	8	2	16	5	2.66	47	34.04	-	-	2	2	0
D Lakshan	2021-2022	3	2	-	4	2	2.00	13	30.76	-	-	-	0	0
LD Madushanka	2021-2021	1	1	-	1	1	1.00	3	33.33	-	-	-	0	0
SMLD Samarakoon	2023-2023	1	1	-	1	1	1.00	3	33.33	-	-	-	0	0
LU Igalagamage	2023-2023	1	1	-	-	-	-	3	-	-	-	1	0	0
C Gunasekara	2022-2022	1	-	-	-	-	-	0	-	-	-	-	0	0
V Viyaskanth	2023-2023	1	1	1	13	13*	-	19	68.42	-	-	-	1	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