Averages Batting Bowling By Team - West Indies Women

Players - West Indies Women

West Indies Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
CA Henry	2	2	1	37	33	23	37.00	112.12	-	-	-	3	0
HK Matthews	2	2	-	65	65	50	32.50	100.00	-	1	-	6	1
SA Campbelle	2	1	-	26	29	26	26.00	89.65	-	-	-	2	0
S Gajnabi	2	2	-	18	43	15	9.00	41.86	-	-	-	1	0
CN Nation	2	1	-	6	7	6	6.00	85.71	-	-	-	1	0
AA Alleyne	2	2	-	6	17	4	3.00	35.29	-	-	-	0	0
RS Williams	2	2	-	5	16	5	2.50	31.25	-	-	1	1	0
Zaida James	2	2	-	5	9	4	2.50	55.55	-	-	-	0	0
ASS Fletcher	2	1	1	6	4	6*	-	150.00	-	-	-	1	0
T Holder	2	1	1	5	14	5*	-	35.71	-	-	-	0	0
D Joseph	2	1	1	1	2	1*	-	50.00	-	-	-	0	0
SS Connell	2	-	-	-	0	-	-	-	-	-	-	0	0
K Ramharack	2	-	-	-	0	-	-	-	-	-	-	0	0
SC Selman	2	-	-	-	0	-	-	-	-	-	-	0	0
SR Taylor	2	-	-	-	0	-	-	-	-	-	-	0	0

West Indies Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
HK Matthews	2023-2023	2	2	6.0	-	23	4	3/17	5.75	3.83	9.0	-	-	1	-
ASS Fletcher	2023-2023	2	1	4.0	-	13	2	2/13	6.50	3.25	12.0	-	-	-	-
K Ramharack	2023-2023	2	2	7.0	-	35	3	2/13	11.66	5.00	14.0	-	-	-	-
AA Alleyne	2023-2023	2	2	3.5	-	24	1	1/20	24.00	6.26	23.0	-	-	-	-
SC Selman	2023-2023	2	2	4.1	-	35	1	1/21	35.00	8.40	25.0	-	-	1	-
CA Henry	2023-2023	2	2	7.0	-	38	1	1/21	38.00	5.42	42.0	-	-	1	-
Zaida James	2023-2023	2	1	2.0	-	11	0	-	-	5.50	-	-	-	1	-
S Gajnabi	2023-2023	2	1	2.0	-	12	0	-	-	6.00	-	-	-	-	-
SS Connell	2023-2023	2	1	4.0	-	33	0	-	-	8.25	-	-	-	-	-
SA Campbelle	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
T Holder	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
D Joseph	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
CN Nation	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
SR Taylor	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
RS Williams	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	1	1

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