Batting Highest Career Batting Average - vs India

Players - vs India

Highest averages

Player	Span	Mat	Inns	NO	Runs	HS	Ave	BF	SR	100	50	0	4s	6s
Imrul Kayes (BAN)	2015-2015	1	2	1	79	72	79.00	188	42.02	-	1	-	13	0
MDKJ Perera (SL)	2015-2015	1	2	-	125	70	62.50	162	77.16	-	2	-	20	0
LD Chandimal (SL)	2015-2015	3	6	1	288	162*	57.60	343	83.96	1	1	-	38	5
AD Mathews (SL)	2015-2015	3	6	-	339	110	56.50	610	55.57	2	1	-	38	2
Litton Das (BAN)	2015-2015	1	1	-	44	44	44.00	45	97.77	-	-	-	8	1
Soumya Sarkar (BAN)	2015-2015	1	1	-	37	37	37.00	54	68.51	-	-	-	7	0
Tamim Iqbal (BAN)	2015-2015	1	2	1	35	19	35.00	62	56.45	-	-	-	6	0
Mominul Haque (BAN)	2015-2015	1	1	-	30	30	30.00	54	55.55	-	-	-	4	0
KC Sangakkara (SL)	2015-2015	2	4	-	95	40	23.75	187	50.80	-	-	-	12	0
HDRL Thirimanne (SL)	2015-2015	3	6	-	142	62	23.66	362	39.22	-	1	1	11	1
HMRKB Herath (SL)	2015-2015	3	6	1	89	49	17.80	179	49.72	-	-	-	14	0
J Mubarak (SL)	2015-2015	2	4	-	71	49	17.75	114	62.28	-	-	2	6	2
JK Silva (SL)	2015-2015	3	6	-	87	51	14.50	218	39.90	-	1	1	13	0
FDM Karunaratne (SL)	2015-2015	3	6	-	67	46	11.16	176	38.06	-	-	2	6	0
Shakib Al Hasan (BAN)	2015-2015	1	1	-	9	9	9.00	15	60.00	-	-	-	2	0
Shuvagata Hom (BAN)	2015-2015	1	1	-	9	9	9.00	25	36.00	-	-	-	1	0
PHT Kaushal (SL)	2015-2015	3	6	1	35	16	7.00	102	34.31	-	-	1	6	0
KTGD Prasad (SL)	2015-2015	3	6	-	41	27	6.83	53	77.35	-	-	2	5	0
Mohammad Shahid (BAN)	2015-2015	1	1	-	6	6	6.00	9	66.66	-	-	-	1	0
PVD Chameera (SL)	2015-2015	1	2	1	4	4	4.00	10	40.00	-	-	-	1	0
N Pradeep (SL)	2015-2015	2	4	2	5	3	2.50	12	41.66	-	-	1	0	0
WU Tharanga (SL)	2015-2015	1	2	-	4	4	2.00	30	13.33	-	-	1	1	0
Mushfiqur Rahim (BAN)	2015-2015	1	1	-	2	2	2.00	5	40.00	-	-	-	0	0
Jubair Hossain (BAN)	2015-2015	1	1	-	-	-	-	0	-	-	-	1	0	0
Taijul Islam (BAN)	2015-2015	1	1	1	16	16*	-	31	51.61	-	-	-	3	0

Adjust:Most recentPast weekPast MonthPast year4 years10 years25 years

Performances in matches that overlap decades are credited to the year in which they occurred - this results in some unknown data, especially in regard to bowling figures
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