Individual Most Matches Career - Water and Power Development Authority

Most matches in FC+LA+T20s in 2018 - Water and Power Development Authority

Most matches

Player	Span	Mat	Runs	HS	Ave	100	Wkts	BBI	Ave	5	Ct	St
Salman Butt	2018-2018	26	1516	129	56.14	3	1	1/22	70.00	-	9	-
Khalid Usman	2018-2018	22	247	51	19.00	-	49	6/47	23.08	4	9	-
Zahid Mansoor	2018-2018	20	364	90	22.75	-	32	4/17	24.37	-	10	-
Kamran Akmal	2018-2018	18	1004	200	47.80	2	-	-	-	-	27	4
Ayaz Tasawwar	2018-2018	15	488	85	32.53	-	-	-	-	-	14	-
Mansoor Amjad	2018-2018	14	228	92	28.50	-	19	4/45	31.89	-	3	-
Mohammad Irfan	2018-2018	13	7	4	3.50	-	16	3/33	32.87	-	1	-
Wahab Riaz	2018-2018	13	274	54	34.25	-	21	4/31	31.19	-	5	-
Ehsan Adil	2018-2018	12	185	85*	23.12	-	35	5/74	21.22	1	5	-
Mohammad Saad	2018-2018	12	414	89	31.84	-	4	1/1	23.00	-	6	-
Aamer Sajjad	2018-2018	11	223	54	20.27	-	-	-	-	-	3	-
Bismillah Khan	2018-2018	11	398	78	33.16	-	-	-	-	-	13	4
Zulfiqar Babar	2018-2018	11	54	12	6.00	-	36	6/58	25.16	2	3	-
Mohammad Asif	2018-2018	9	46	34	15.33	-	21	5/43	22.52	2	3	-
Muhammad Akhlaq	2018-2018	9	432	88	43.20	-	-	-	-	-	3	-
Sadaif Mehdi	2018-2018	9	120	43	40.00	-	15	3/41	33.80	-	1	-
Waqas Maqsood	2018-2018	9	81	23	11.57	-	15	3/28	35.26	-	4	-
Sohaib Maqsood	2018-2018	8	60	19	8.57	-	-	-	-	-	4	-
Abubakar Khan	2018-2018	7	230	67	28.75	-	-	-	-	-	6	-
Khushdil Shah	2018-2018	7	75	42	18.75	-	-	-	-	-	1	-
Rafatullah Mohmand	2018-2018	7	310	79	38.75	-	-	-	-	-	3	-
Ali Shan	2018-2018	6	261	96*	37.28	-	-	-	-	-	12	5
Hasnain Shah	2018-2018	6	8	5	2.00	-	14	4/63	32.00	-	2	-
Adnan Raees	2018-2018	5	207	91	23.00	-	-	-	-	-	7	-
Arshad Iqbal	2018-2018	4	13	4	3.25	-	9	3/60	32.88	-	1	-
Shoaib Laghari	2018-2018	4	41	24	13.66	-	-	-	-	-	3	-
Waqar Malik	2018-2018	3	4	2*	4.00	-	7	4/62	30.14	-	1	-
Mohammad Saleem	2018-2018	2	58	48*	29.00	-	-	-	-	-	2	-
Taimoor Sultan	2018-2018	2	5	4	2.50	-	-	-	-	-	-	-
Asif Mahmood	2018-2018	1	24	24	24.00	-	-	-	-	-	-	-
Mesome Hussain	2018-2018	1	5	5	5.00	-	-	-	-	-	-	-

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