Averages Batting Bowling By Team - United Arab Emirates Women

Players - United Arab Emirates Women

United Arab Emirates Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
Theertha Satish	1	1	-	19	21	19	19.00	90.47	-	-	-	2	0
ER Oza	1	1	-	15	23	15	15.00	65.21	-	-	-	1	0
KKN Egodage	1	1	-	11	27	11	11.00	40.74	-	-	-	1	0
Khushi Sharma	1	1	-	9	12	9	9.00	75.00	-	-	-	1	0
NM Cherriath	1	1	-	3	7	3	3.00	42.85	-	-	-	0	0
Chaya Mughal	1	1	-	2	11	2	2.00	18.18	-	-	-	0	0
S Dharnidharka	1	1	-	2	4	2	2.00	50.00	-	-	-	0	0
Vaishnave Mahesh	1	1	-	1	3	1	1.00	33.33	-	-	-	0	0
Rinitha Rajith	1	1	-	-	1	-	-	-	-	-	1	0	0
P Jain	1	1	1	3	7	3*	-	42.85	-	-	-	0	0
S Gokhale	1	1	1	1	4	1*	-	25.00	-	-	-	0	0
L Keny	1	-	-	-	0	-	-	-	-	-	-	0	0
S Kotte	1	-	-	-	0	-	-	-	-	-	-	0	0
I Nandakumar	1	-	-	-	0	-	-	-	-	-	-	0	0
Rithika Rajith	1	-	-	-	0	-	-	-	-	-	-	0	0

United Arab Emirates Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Khushi Sharma	2022-2022	1	1	4.0	1	21	2	2/21	10.50	5.25	12.0	-	-	-	-
I Nandakumar	2022-2022	1	1	3.0	-	14	1	1/14	14.00	4.66	18.0	-	-	1	-
Vaishnave Mahesh	2022-2022	1	1	4.0	-	19	1	1/19	19.00	4.75	24.0	-	-	-	-
S Kotte	2022-2022	1	1	3.0	-	19	0	-	-	6.33	-	-	-	-	-
Chaya Mughal	2022-2022	1	1	3.0	-	24	0	-	-	8.00	-	-	-	-	-
S Dharnidharka	2022-2022	1	1	3.0	-	26	0	-	-	8.66	-	-	-	-	-
NM Cherriath	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	1	-
KKN Egodage	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
S Gokhale	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
P Jain	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
L Keny	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
ER Oza	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Rinitha Rajith	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Rithika Rajith	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Theertha Satish	2022-2022	1	-	0.0	-	-	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