Averages Bowling - vs Netherlands

Bowling Averages for All in the 2016 - vs Netherlands

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
Aamir Kaleem2016-2016100000----0000
Adnan Ilyas2016-2016100000----0000
Ahmed Raza2016-2016454568244106/11224.403.2145.61030
Al-Amin Hossain2016-2016111802422/2412.008.0090000
Amir Ali2016-2016100000----0000
Amir Hamza2016-2016116040--4.00-0000
Amjad Javed2016-2016226604911/2949.004.45660000
M Ansari2016-2016100000----0000
Arafat Sunny2016-201611120100--5.00-0010
Asghar Afghan2016-20162115090--3.60-0000
RD Berrington2016-2016222402711/727.006.75240000
B Bhandari2016-2016200000----0020
Bilal Khan2016-2016100000----0000
KJ Coetzer2016-2016200000----0010
MH Cross2016-2016200000----0001
JH Davey2016-2016111301011/1010.004.61130000
Dawlat Zadran2016-201623174610284/3212.753.5121.70000
GH Dockrell2016-201611120733/72.333.5040000
AC Evans2016-2016223612911/929.004.83360000
Fahad Tariq2016-201611120180--9.00-0000
Farhan Ahmed2016-2016453271119054/7838.003.4865.40030
SP Gauchan2016-2016114802511/2525.003.12480010
Gulbadin Naib2016-2016116090--9.00-0000
AM Guruge2016-2016226626443/4116.005.8116.50000
Hamid Hassan2016-201611240360--9.00-0000
Hashmatullah Shahidi2016-2016100000----0010
Ihsanullah2016-2016100000----0010
Karan KC2016-2016111801811/1818.006.00180000
P Khadka2016-2016224803122/1915.503.87240010
Khawar Ali2016-2016100000----0000
AV Lalcheta2016-2016100000----0000
S Lamichhane2016-2016227106211/4862.005.23710000
MA Leask2016-2016111201511/1515.007.50120000
AR McBrine2016-20161160160--16.00-0000
MW Machan2016-201621120200--10.00-0010
CS MacLeod2016-2016216070--7.00-0000
Mahmudullah2016-2016116080--8.00-0000
G Malla2016-2016200000----0000
AK Mandal2016-2016200000----0000
Mashrafe Mortaza2016-2016112401411/1414.003.50240000
Mehran Khan2016-2016100000----0000
Mirwais Ashraf2016-2016129934521/1222.502.7249.50000
Mohammad Nabi2016-2016237805821/2329.004.46390020
Mohammad Naveed2016-2016112402511/2525.006.25240000
Mohammad Shahzad2016-2016100000----0020
Mohammad Shahzad2016-2016436606611/3466.006.00660000
PL Mommsen2016-2016200000----0000
Muhammad Kaleem2016-2016400000----0000
Muhammad Usman2016-2016400000----0000
HG Munsey2016-2016100000----0020
TJ Murtagh2016-2016116090--9.00-0010
Mushfiqur Rahim2016-2016100000----0010
Najibullah Zadran2016-2016100000----0000
Nasir Hossain2016-2016111202411/2424.0012.00120010
Nasir Jamal2016-2016100000----0000
Noor Ali Zadran2016-2016100000----0010
KJ O'Brien2016-20161160120--12.00-0000
NJ O'Brien2016-2016100000----0001
SP Patil2016-2016400000----0021
WTS Porterfield2016-2016100000----0000
AD Poynter2016-2016100000----0000
Qadeer Ahmed2016-201623132211111/25111.005.041320020
Rahmat Shah2016-20161112160--3.00-0010
WB Rankin2016-2016116090--9.00-0010
RJ Ranpura2016-2016100000----0000
Rashid Khan2016-201611180711/77.002.33180000
B Regmi2016-2016228415932/3619.664.21280000
R Rijal2016-2016200000----0022
Rohan Mustafa2016-20163311208142/1920.254.33280010
Sabbir Rahman2016-2016100000----0010
Sagar Pun2016-2016226604121/320.503.72330010
Samiullah Shinwari2016-2016111802411/2424.008.00180000
Saqlain Haider2016-2016300000----0000
Shafiqullah2016-2016100000----0010
Shaiman Anwar2016-2016400000----0000
Shakib Al Hasan2016-2016112402922/2914.507.25120000
SM Sharif2016-2016223805332/3017.668.3612.60000
Sompal Kami2016-2016225705322/3126.505.5728.50000
MC Sorensen2016-2016100000----0000
Soumya Sarkar2016-2016100000----0000
PR Stirling2016-2016100000----0000
Sultan Ahmed2016-2016100000----0000
Tamim Iqbal2016-2016100000----0000
Taskin Ahmed2016-201611240210--5.25-0000
RML Taylor2016-2016112402211/2222.005.50240000
Usman Mushtaq2016-2016100000----0000
S Vesawkar2016-2016200000----0000
MRJ Watt2016-2016223605055/2710.008.337.21010
GC Wilson2016-2016100000----0000
Yamin Ahmadzai2016-20161210016555/2913.003.90201000
Zaheer Maqsood2016-20161212017033/2623.333.50400000
Zahir Khan2016-2016126713244/298.002.8616.70010
Zeeshan Maqsood2016-2016100000----0000
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