Averages Batting Bowling By Team - Pakistan Women

Teamwise Batting and bowling averages in Minor ODs in 2018 - Pakistan Women

Pakistan Women batting averages

Player	Mat	Inns	NO	Runs	BF	HS	Ave	SR	100	50	0	4s	6s
Bismah Maroof	43	41	7	1196	1735	89	35.17	68.93	-	9	3	103	1
Sidra Amin	51	51	4	1596	2445	176*	33.95	65.27	4	6	3	161	1
Aliya Riaz	55	49	7	1397	1990	81	33.26	70.20	-	10	3	130	20
Natalia Pervaiz	6	6	2	109	142	39	27.25	76.76	-	-	-	8	2
Nida Dar	56	48	5	1147	1649	87	26.67	69.55	-	9	1	97	9
Javeria Khan	38	37	2	913	1514	113*	26.08	60.30	1	2	-	106	0
Nahida Khan	28	28	1	696	1023	68	25.77	68.03	-	4	1	93	0
Rameen Shamim	3	3	2	25	35	19*	25.00	71.42	-	-	1	2	0
Omaima Sohail	46	43	6	912	1384	65	24.64	65.89	-	4	3	93	0
Najiha Alvi	7	7	2	122	166	38	24.40	73.49	-	-	-	6	0
Muneeba Ali	44	42	1	920	1528	107	22.43	60.20	1	3	4	107	3
Sana Mir	17	15	4	234	386	27*	21.27	60.62	-	-	1	23	0
Fatima Sana	43	34	8	497	676	90*	19.11	73.52	-	2	3	45	2
Sadaf Shamas	11	11	-	200	367	72	18.18	54.49	-	1	1	20	0
Kainat Imtiaz	14	11	2	138	278	39*	15.33	49.64	-	-	1	10	0
Iram Javed	9	8	-	117	165	40	14.62	70.90	-	-	-	15	0
Ayesha Zafar	11	11	-	153	299	46	13.90	51.17	-	-	-	17	0
Diana Baig	52	35	11	237	296	35*	9.87	80.06	-	-	3	20	2
Sidra Nawaz	49	36	8	269	509	25	9.60	52.84	-	-	2	21	0
Shawaal Zulfiqar	2	2	-	18	29	11	9.00	62.06	-	-	-	3	0
Ayesha Naseem	4	4	-	33	37	16	8.25	89.18	-	-	1	2	2
Nashra Sandhu	56	33	17	73	198	11*	4.56	36.86	-	-	8	2	1
Aiman Anwer	8	3	-	13	16	10	4.33	81.25	-	-	1	1	0
Kaynat Hafeez	1	1	-	4	6	4	4.00	66.66	-	-	-	1	0
Anam Amin	22	10	3	26	101	11*	3.71	25.74	-	-	4	1	0
Sadia Iqbal	23	11	5	20	34	7	3.33	58.82	-	-	3	1	0
Ghulam Fatima	15	7	4	10	23	5*	3.33	43.47	-	-	1	0	0
Umm-e-Hani	10	8	-	26	44	11	3.25	59.09	-	-	3	2	0
Syeda Aroob Shah	2	2	1	-	1	0*	-	-	-	-	1	0	0
Tuba Hassan	1	1	1	-	3	0*	-	-	-	-	-	0	0
Waheeda Akhtar	2	-	-	-	0	-	-	-	-	-	-	0	0

Pakistan Women bowling averages

Player	Span	Mat	Inns	Overs	Mdns	Runs	Wkts	BBI	Ave	Econ	SR	5	10	Ct	St
Sana Mir	2018-2019	17	17	148.3	22	519	37	4/11	14.02	3.49	24.0	-	-	6	-
Syeda Aroob Shah	2019-2019	2	1	10.0	-	37	2	2/37	18.50	3.70	30.0	-	-	-	-
Ghulam Fatima	2022-2023	15	15	124.0	6	578	25	5/34	23.12	4.66	29.7	1	-	2	-
Waheeda Akhtar	2023-2023	2	2	11.0	1	47	2	1/13	23.50	4.27	33.0	-	-	-	-
Nashra Sandhu	2018-2023	56	56	477.3	42	1902	79	4/32	24.07	3.98	36.2	-	-	21	-
Bismah Maroof	2018-2023	43	13	50.1	5	223	9	3/17	24.77	4.44	33.4	-	-	13	-
Fatima Sana	2019-2023	43	43	302.4	15	1619	64	5/39	25.29	5.34	28.3	1	-	7	-
Sadia Iqbal	2019-2023	23	22	178.3	19	633	25	4/13	25.32	3.54	42.8	-	-	3	-
Anam Amin	2018-2022	22	20	172.4	16	667	25	5/35	26.68	3.86	41.4	1	-	4	-
Omaima Sohail	2018-2023	46	33	138.5	6	651	22	2/7	29.59	4.68	37.8	-	-	9	-
Nida Dar	2018-2023	56	54	401.2	32	1682	52	4/10	32.34	4.19	46.3	-	-	10	-
Diana Baig	2018-2023	52	48	334.3	26	1502	44	4/30	34.13	4.49	45.6	-	-	16	-
Umm-e-Hani	2022-2023	10	10	84.5	1	387	10	3/20	38.70	4.56	50.9	-	-	4	-
Rameen Shamim	2019-2021	3	3	18.3	-	129	3	3/61	43.00	6.97	37.0	-	-	-	-
Aliya Riaz	2018-2023	55	31	142.1	5	750	14	2/12	53.57	5.27	60.9	-	-	14	-
Kainat Imtiaz	2019-2023	14	9	50.0	-	283	5	3/49	56.60	5.66	60.0	-	-	2	-
Natalia Pervaiz	2018-2023	6	3	14.0	1	70	1	1/42	70.00	5.00	84.0	-	-	-	-
Aiman Anwer	2018-2022	8	6	30.0	1	174	2	1/37	87.00	5.80	90.0	-	-	1	-
Javeria Khan	2018-2022	38	3	7.0	-	42	0	-	-	6.00	-	-	-	10	-
Tuba Hassan	2023-2023	1	1	6.0	-	69	0	-	-	11.50	-	-	-	-	-
Ayesha Naseem	2021-2023	4	-	0.0	-	-	0	-	-	-	-	-	-	1	-
Ayesha Zafar	2018-2021	11	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Iram Javed	2019-2023	9	-	0.0	-	-	0	-	-	-	-	-	-	1	-
Kaynat Hafeez	2019-2019	1	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Muneeba Ali	2018-2023	44	-	0.0	-	-	0	-	-	-	-	-	-	22	4
Nahida Khan	2018-2022	28	-	0.0	-	-	0	-	-	-	-	-	-	20	-
Najiha Alvi	2023-2023	7	-	0.0	-	-	0	-	-	-	-	-	-	2	6
Sadaf Shamas	2022-2023	11	-	0.0	-	-	0	-	-	-	-	-	-	4	-
Shawaal Zulfiqar	2023-2023	2	-	0.0	-	-	0	-	-	-	-	-	-	-	-
Sidra Amin	2018-2023	51	-	0.0	-	-	0	-	-	-	-	-	-	11	-
Sidra Nawaz	2018-2023	49	-	0.0	-	-	0	-	-	-	-	-	-	36	23

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