Averages Batting IN Bangladesh

Players IN Bangladesh

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
Abu Hider2019-2019321181118.0069.23---
Abu Jayed2019-20196421075.0035.71---
Afif Hossain2019-2019111213695933.5471.78-4-
Afsar Zazai2019-201933113448*67.0039.41---
Aminul Islam2019-2019221222222.0055.00---
Anamul Haque2019-2019451205121*51.2566.551--
Asghar Afghan2019-201956-1969232.6657.98-22
Bahir Shah2019-20192318652*43.0044.10-1-
RP Burl2019-20194318357*41.50138.33-1-
RW Chakabva2019-20193318142*40.50144.64--1
TL Chatara2019-20192---------
Darwish Rasooli2019-201974-37169.2541.57---
Dawlat Zadran2019-2019111-0*-----
CR Ervine2019-201922-211110.5087.50---
Fareed Ahmad2019-201931-555.0083.33---
Farhad Reza2019-201922-313015.5046.26---
Fazal Niazai2019-20196414815*16.0064.86---
Fazle Mahmud2019-20195519857*24.5051.57-1-
Gulbadin Naib2019-201943-11103.66110.00--1
Hashmatullah Shahidi2019-201912-261413.0037.68---
Hazratullah Zazai2019-201944-924723.00122.66---
Ibrahim Zadran2019-2019810359012784.2861.0714-
Ihsanullah2019-201912-1396.5033.33---
Imrul Kayes2019-201978-1814022.6261.98--1
Jaker Ali2019-201943-362312.0042.85---
KM Jarvis2019-2019421422742.00144.82---
Kamrul Islam Rabbi2019-201912-11105.5023.40---
Karim Janat2019-2019851482412.0075.00---
Litton Das2019-201956-1033817.1671.52--1
N Madziva2019-201942-241512.0092.30---
Mahedi Hasan2019-201954-401710.0078.43---
Mahidul Islam Ankon2019-201911-555.0083.33---
Mahmudullah2019-201956-1406223.33101.44-1-
T Maruma2019-201911-111.0050.00---
H Masakadza2019-201944-1337133.25134.34-1-
Mehidy Hasan Miraz2019-201912-231211.5038.98---
Mirwais Ashraf2019-201911-232323.00104.54---
Mohammad Mithun2019-201922-888544.0083.80-1-
Mohammad Nabi2019-201956113884*27.60143.75-11
Mohammad Naim2019-201967-29312641.8569.4311-
Mohammad Saifuddin2019-2019432146*14.00200.00---
Mominul Haque2019-201912-555227.5069.62-1-
Mosaddek Hossain2019-201956312348*41.0083.10---
CB Mpofu2019-2019211-0*-----
Mujeeb Ur Rahman2019-20194---------
Munir Ahmad2019-201921-------1
T Munyonga2019-20191---------
Mushfiqur Rahim2019-201956-863214.33104.87--2
Mustafizur Rahman2019-201941-151515.00214.28---
CT Mutombodzi2019-20194425927*29.50101.72---
R Mutumbami2019-201921-545454.00168.75-1-
Najeeb Tarakai2019-201922-251412.5078.12---
Najibullah Zadran2019-20194419369*31.00152.45-1-
Nasir Jamal2019-201975111959*29.7558.91-11
Naveen-ul-Haq2019-201972154*5.0016.12---
Nayeem Hasan2019-2019121878.0040.00---
Najmul Hossain Shanto2019-201922-16118.0094.11---
Nazmul Islam2019-20193211613*16.0057.14---
A Ndlovu2019-201931-222.0050.00---
Qais Ahmad2019-20196316946*34.5073.40---
Rahmanullah Gurbaz2019-2019992334105*47.71104.04122
Rahmat Shah2019-201912-10210251.0054.251-1
Raqibul Hasan2019-201923-716123.6637.56-1-
Rashid Khan2019-2019542955147.5093.13-1-
Rubel Hossain2019-201911122*-200.00---
Sabbir Rahman2019-201955-903518.0081.81---
Salauddin Sakil2019-201923253*5.0041.66---
Sayed Shirzad2019-20192---------
Shadman Islam2019-201912-414120.5034.74--1
Shafiqullah2019-20192213923*39.00130.00---
Shafiqul Islam2019-201932288*-266.66---
Shafiul Islam2019-201931-------1
Shahidullah2019-2019551632415.7544.05---
Shakib Al Hasan2019-201956115170*30.20104.86-1-
Sharafuddin Ashraf2019-201974111936*39.6694.44---
Soumya Sarkar2019-201934-36179.0027.06--1
Sumon Khan2019-201912-221.0010.52--1
Sunzamul Islam2019-201912-272113.5045.76---
Taijul Islam2019-201933114147.0021.53--1
Tanbir Hayder2019-201923-16155.3329.62--1
Tanvir Islam2019-201911-222.0011.11---
BRM Taylor2019-201944-522713.00120.93--1
Usman Ghani2019-201955-883917.6061.97---
SC Williams2019-20194412521*8.3373.52--1
Yamin Ahmadzai2019-201933-1494.6653.84--1
Yeasin Arafat2019-201911-555.00125.00---
Zahir Khan2019-2019121-0*----1
Zakir Hasan2019-201934-19124.7543.18--2
Zia-ur-Rehman2019-201911111*-33.33---
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