Averages Batting Bowling By Team - vs Thailand Women

Teamwise Batting and bowling averages in Minor T20s in 2021 - vs Thailand Women

Pakistan A Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
Gull Feroza	1	1	-	26	34	26	26.00	76.47	-	-	-	2	0
Eyman Fatima	1	1	-	13	15	13	13.00	86.66	-	-	-	3	0
Sidra Nawaz	1	1	-	4	2	4	4.00	200.00	-	-	-	1	0
Rameen Shamim	1	1	-	2	2	2	2.00	100.00	-	-	-	0	0
Shawaal Zulfiqar	1	1	1	67	66	67*	-	101.51	-	1	-	10	0
Omaima Sohail	1	1	1	5	2	5*	-	250.00	-	-	-	1	0
Anosha Nasir	1	-	-	-	0	-	-	-	-	-	-	0	0
Humna Bilal	1	-	-	-	0	-	-	-	-	-	-	0	0
Kaynat Hafeez	1	-	-	-	0	-	-	-	-	-	-	0	0
Saima Malik	1	-	-	-	0	-	-	-	-	-	-	0	0
Tasmia Rubab	1	-	-	-	0	-	-	-	-	-	-	0	0

Pakistan A Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Rameen Shamim	2023-2023	1	1	4.0	-	16	2	2/16	8.00	4.00	12.0	-	-	-	-
Omaima Sohail	2023-2023	1	1	3.0	-	16	1	1/16	16.00	5.33	18.0	-	-	-	-
Anosha Nasir	2023-2023	1	1	3.0	-	17	1	1/17	17.00	5.66	18.0	-	-	-	-
Saima Malik	2023-2023	1	1	4.0	-	18	1	1/18	18.00	4.50	24.0	-	-	-	-
Tasmia Rubab	2023-2023	1	1	3.0	-	12	0	-	-	4.00	-	-	-	-	-
Humna Bilal	2023-2023	1	1	3.0	-	14	0	-	-	4.66	-	-	-	-	-
Eyman Fatima	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	1	-
Gull Feroza	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	2	-
Kaynat Hafeez	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Shawaal Zulfiqar	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Sidra Nawaz	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-

South Africa Emerging Players Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
F Tunnicliffe	3	3	1	58	63	32*	29.00	92.06	-	-	-	4	1
A Dercksen	3	3	-	71	68	43	23.66	104.41	-	-	-	12	0
A Steyn	3	3	-	54	55	30	18.00	98.18	-	-	-	6	0
Nicole de Klerk	2	2	1	17	20	14*	17.00	85.00	-	-	-	2	0
M Andrews	3	3	-	49	47	37	16.33	104.25	-	-	-	7	1
D Tucker	3	3	-	32	31	17	10.66	103.22	-	-	-	6	0
K Mathe	2	2	-	16	21	16	8.00	76.19	-	-	1	2	0
K Rapoo	1	1	-	6	10	6	6.00	60.00	-	-	-	0	0
TL Macheke	3	2	-	9	16	9	4.50	56.25	-	-	1	0	0
L Jones	2	1	-	1	2	1	1.00	50.00	-	-	-	0	0
K Mistry	2	1	-	1	6	1	1.00	16.66	-	-	-	0	0
J Winster	3	2	2	6	14	5*	-	42.85	-	-	-	0	0
A Erxleben	1	1	1	2	5	2*	-	40.00	-	-	-	0	0
N Baneti	2	-	-	-	0	-	-	-	-	-	-	0	0

South Africa Emerging Players Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
K Mistry	2021-2021	2	2	5.0	-	28	5	5/19	5.60	5.60	6.0	1	-	-	-
D Tucker	2021-2021	3	3	10.0	-	47	4	2/15	11.75	4.70	15.0	-	-	-	-
N Baneti	2021-2021	2	2	6.0	-	39	3	2/8	13.00	6.50	12.0	-	-	-	-
M Andrews	2021-2021	3	3	7.0	-	44	2	2/11	22.00	6.28	21.0	-	-	4	-
K Rapoo	2021-2021	1	1	4.0	-	26	1	1/26	26.00	6.50	24.0	-	-	-	-
K Mathe	2021-2021	2	2	5.0	-	27	1	1/22	27.00	5.40	30.0	-	-	-	-
J Winster	2021-2021	3	3	12.0	-	64	1	1/33	64.00	5.33	72.0	-	-	-	-
A Erxleben	2021-2021	1	1	2.0	-	11	0	-	-	5.50	-	-	-	-	-
L Jones	2021-2021	2	2	3.0	-	27	0	-	-	9.00	-	-	-	-	-
Nicole de Klerk	2021-2021	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
A Dercksen	2021-2021	3	-	0.0	-	-	0	-	-	-	-	-	-	1	-
TL Macheke	2021-2021	3	-	0.0	-	-	0	-	-	-	-	-	-	1	2
A Steyn	2021-2021	3	-	0.0	-	-	0	-	-	-	-	-	-	2	-
F Tunnicliffe	2021-2021	3	-	0.0	-	-	0	-	-	-	-	-	-	-	-

United States of America Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
S Sriharsha	1	1	-	20	21	20	20.00	95.23	-	-	-	3	0
S Paul	1	1	-	17	32	17	17.00	53.12	-	-	-	0	0
M Kandanala	1	1	-	2	7	2	2.00	28.57	-	-	-	0	0
A Kolan	1	1	-	2	6	2	2.00	33.33	-	-	-	0	0
IM Vaghela	1	1	-	-	3	-	-	-	-	-	1	0	0
D Dhingra	1	1	1	55	51	55*	-	107.84	-	1	-	6	0
B Bhadriraju	1	-	-	-	0	-	-	-	-	-	-	0	0
T Chopra	1	-	-	-	0	-	-	-	-	-	-	0	0
ST Eyyunni	1	-	-	-	0	-	-	-	-	-	-	0	0
P Iyengar	1	-	-	-	0	-	-	-	-	-	-	0	0
G Kodali	1	-	-	-	0	-	-	-	-	-	-	0	0
L Ramjit	1	1	1	-	0	0*	-	-	-	-	-	0	0
RP Singh	1	-	-	-	0	-	-	-	-	-	-	0	0
Y Teki	1	-	-	-	0	-	-	-	-	-	-	0	0
SR Thadani	1	-	-	-	0	-	-	-	-	-	-	0	0

United States of America Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
D Dhingra	2022-2022	1	1	2.0	-	12	1	1/12	12.00	6.00	12.0	-	-	-	-
IM Vaghela	2022-2022	1	1	2.0	-	13	1	1/13	13.00	6.50	12.0	-	-	-	-
ST Eyyunni	2022-2022	1	1	2.0	-	18	1	1/18	18.00	9.00	12.0	-	-	-	-
G Kodali	2022-2022	1	1	3.0	-	37	1	1/37	37.00	12.33	18.0	-	-	1	-
B Bhadriraju	2022-2022	1	1	2.0	-	9	0	-	-	4.50	-	-	-	-	-
T Chopra	2022-2022	1	1	2.0	-	11	0	-	-	5.50	-	-	-	-	-
SR Thadani	2022-2022	1	1	1.0	-	11	0	-	-	11.00	-	-	-	-	-
P Iyengar	2022-2022	1	1	2.0	-	15	0	-	-	7.50	-	-	-	-	-
Y Teki	2022-2022	1	1	2.0	-	17	0	-	-	8.50	-	-	-	-	-
S Paul	2022-2022	1	1	2.0	-	25	0	-	-	12.50	-	-	-	-	-
M Kandanala	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
A Kolan	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
L Ramjit	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
RP Singh	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
S Sriharsha	2022-2022	1	-	0.0	-	-	0	-	-	-	-	-	-	2	-

West Indies A Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
Q Joseph	1	1	-	11	17	11	11.00	64.70	-	-	-	1	0
T Holder	1	1	-	10	13	10	10.00	76.92	-	-	-	1	0
M Mangru	1	1	-	9	13	9	9.00	69.23	-	-	-	2	0
D Joseph	1	1	-	1	6	1	1.00	16.66	-	-	-	0	0
RS Williams	1	1	-	-	2	-	-	-	-	-	1	0	0
S Gajnabi	1	1	1	10	26	10*	-	38.46	-	-	-	0	0
SS Grimmond	1	1	1	1	1	1*	-	100.00	-	-	-	0	0
JKC Claxton	1	-	-	-	0	-	-	-	-	-	-	0	0
CS Fraser	1	-	-	-	0	-	-	-	-	-	-	0	0
J Glasgow	1	-	-	-	0	-	-	-	-	-	-	0	0
A Munisar	1	-	-	-	0	-	-	-	-	-	-	0	0

West Indies A Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Q Joseph	2023-2023	1	1	2.2	1	1	3	3/1	0.33	0.42	4.6	-	-	1	-
SS Grimmond	2023-2023	1	1	3.0	1	2	1	1/2	2.00	0.66	18.0	-	-	-	-
J Glasgow	2023-2023	1	1	4.0	-	17	3	3/17	5.66	4.25	8.0	-	-	1	-
JKC Claxton	2023-2023	1	1	3.0	-	16	2	2/16	8.00	5.33	9.0	-	-	-	-
CS Fraser	2023-2023	1	1	2.0	-	8	1	1/8	8.00	4.00	12.0	-	-	-	-
S Gajnabi	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
T Holder	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	1	-
D Joseph	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
M Mangru	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	1	-
A Munisar	2023-2023	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
RS Williams	2023-2023	1	-	0.0	-	-	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