Averages Bowling - vs Afghanistan

Players - vs Afghanistan

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
Aamir Kaleem2015-20163224-32---8.00---2-
KJ Abbott2016-20161124-3622/3618.009.0012.0----
Adnan Ilyas2015-20163-0---------3-
Ahmed Raza2016-20161124-3211/3232.008.0024.0----
Aizaz Khan2015-20163372-9043/3822.507.5018.0----
MM Ali2016-20161112-1711/1717.008.5012.0----
Amir Ali2016-2016116-11---11.00-----
Amjad Javed2016-20161118-2611/2626.008.6618.0----
HM Amla2016-20161-0-----------
M Ansari2015-20163366-100---9.09-----
Anshuman Rath2015-20163230-32---6.40---2-
Aqib Ilyas2015-20151-0-----------
JJ Atkinson2016-20161-0-----------
SJ Baard2016-20161-0-----------
Babar Hayat2015-20163-0---------4-
S Badree2016-20161124-1433/144.663.508.0----
S Bau2015-2015119625022/5025.003.1248.0----
SJ Benn2016-20161124-1811/1818.004.5024.0--1-
RD Berrington2016-20161112-20---10.00-----
Bilal Khan2015-20163372-8463/3314.007.0012.0--2-
CR Brathwaite2016-20161112-21---10.50-----
DJ Bravo2016-20161124-28---7.00---2-
SF Burger2016-20161178232---2.46-----
JC Buttler2016-20161-0-----------
RJ Campbell2016-20161124-2822/2814.007.0012.0----
C Carter2015-20162-0-----------
PVD Chameera2016-20161124-19---4.75---1-
LD Chandimal2016-20161-0---------2-
MS Chapman2015-20163118-2411/2424.008.0018.0----
J Charles2016-20161-0-----------
TL Chatara2016-20161118-34---11.33-----
CJ Chibhabha2015-20161310252122984/2528.625.4531.5--5-
E Chigumbura2015-201615142-3233/3210.664.5714.0--4-
TS Chisoro2015-201611114384346143/1624.714.7331.2--5-
KJ Coetzer2016-20161-0-----------
AG Cremer2015-2016772815196135/2015.074.1821.61-2-
MH Cross2016-20161-0-----------
MD Dai2015-20151213037732/7325.663.5543.3--1-
JH Davey2016-20161124-4411/4444.0011.0024.0--1-
Q de Kock2016-20161-0---------31
AB de Villiers2016-20161-0---------1-
TM Dilshan2016-20161-0-----------
JP Duminy2016-20161-0-----------
F du Plessis2016-20161-0-----------
MG Erasmus2016-20161-0---------2-
CR Ervine2015-20159-0---------12-
AC Evans2016-20161124-2411/2424.006.0024.0----
Farhan Ahmed2016-20161124-2822/2814.007.0012.0----
ADS Fletcher2016-20161-0---------1-
ZE Green2016-20161-0---------11
Z Groenewald2016-20161116188433/8428.003.1353.6--1-
Haseeb Amjad2015-20162236-4711/2747.007.8336.0----
HMRKB Herath2016-20161124-2422/2412.006.0012.0----
Imran Tahir2016-20161124-2422/2412.006.0012.0----
Jatinder Singh2015-20163-0---------2-
GSNFG Jayasuriya2016-20161-0-----------
LM Jongwe2015-201612123897348185/619.335.3621.61-6-
CJ Jordan2016-20161124-2711/2727.006.7524.0--1-
CK Kapugedera2016-20161-0-----------
Khawar Ali2015-20152112-19---9.50-----
JP Kotze2016-20161-0-----------
KMDN Kulasekara2016-20161124-4311/4343.0010.7524.0----
AV Lalcheta2015-2016336919621/1848.008.3434.5----
E Lewis2016-20161-0-----------
T Lungameni2016-20161160-4222/4221.004.2030.0----
MW Machan2016-20161112-22---11.00---1-
CS MacLeod2016-20161-0---------1-
N Madziva2015-201644142214573/2720.716.1220.2--2-
H Masakadza2015-20167218-20---6.66---4-
WP Masakadza2015-201610104216332124/2127.664.7335.0--2-
AD Mathews2016-20161118-1711/1717.005.6618.0----
A Mehmood2016-2016116-12---12.00-----
Mehran Khan2015-20162242-4863/188.006.857.0----
DA Miller2016-20161-0-----------
Mohammad Nadeem2015-20151118-33---11.00---1-
Mohammad Naveed2016-20161124-2922/2914.507.2512.0----
Mohammad Shahzad2016-20161112-22---11.00-----
PL Mommsen2016-20161-0-----------
PJ Moor2015-20167-0---------3-
VV Morea2015-20151-0---------2-
EJG Morgan2016-20161-0---------1-
CH Morris2016-20161124-2744/276.756.756.0----
CB Mpofu2015-20152242-68---9.71-----
Muhammad Kaleem2016-20161-0-----------
Muhammad Usman2016-20161-0-----------
HG Munsey2016-20161-0-----------
CT Mutombodzi2015-20155496-9522/4047.505.9348.0--1-
R Mutumbami2015-201615-0---------133
T Muzarabani2015-201544120-13421/3267.006.7060.0----
Nadeem Ahmed2015-20163372-8911/2489.007.4172.0--3-
Nizakat Khan2015-20163-0-----------
L Nou2015-201512180411132/3737.003.7060.0--1-
J Nyumbu2015-20152248-51---6.37-----
T Panyangara2015-201666252420273/3228.854.8036.0----
SP Patil2016-20161-0---------11
NLTC Perera2016-20161124-3333/3311.008.258.0--1-
LE Plunkett2016-20161124112---3.00-----
K Rabada2016-20161124-3722/3718.509.2512.0----
D Ramdin2016-20161-0-----------
AU Rashid2016-20161118-1822/189.006.009.0--1-
JB Reva2015-20151210827811/3878.004.33108.0--2-
Rohan Mustafa2016-20161117-1933/196.336.705.6--1-
JE Root2016-20161-0---------2-
JJ Roy2016-20161-0-----------
AD Russell2016-20161124-2322/2311.505.7512.0----
DJG Sammy2016-20161112-1711/1717.008.5012.0--1-
MN Samuels2016-20161-0---------1-
NRP Scholtz2016-201611102539---2.29---1-
KD Shah2015-20163-0-----------
Shaiman Anwar2016-20161-0---------1-
SM Sharif2016-20161124-29---7.25-----
L Siaka2015-20151142240---5.71-----
V Sibanda2016-20161-0---------1-
Sikandar Raza2015-20161511348325783/4032.124.4343.5--7-
TAM Siriwardana2016-2016116-16---16.00-----
JJ Smit2016-20161166437---3.36---1-
G Snyman2016-20161121697844/7819.502.1654.0--1-
CA Soper2015-20151216239432/2731.333.4854.0----
BA Stokes2016-20161118-2811/2828.009.3318.0--1-
Sultan Ahmed2015-20163-0-----------
Tanveer Ahmed2016-20161124-3111/3131.007.7524.0----
Tanwir Afzal2015-20163366-9421/3447.008.5433.0--1-
HDRL Thirimanne2016-20161-0---------1-
DT Tiripano2016-20163360-10521/3652.5010.5030.0----
TP Ura2015-20151-0---------1-
Usman Mushtaq2016-20161-0-----------
A Vala2015-20151113418022/8040.003.5867.0--2-
N Vanua2015-201512150213744/3634.255.4837.5--1-
JNT Vare2015-20151-0----------1
JM Vince2016-20161-0-----------
MN Waller2015-201610-0---------2-
Waqas Barkat2015-20151-0-----------
VS Wategaonkar2016-20161-0---------1-
MRJ Watt2016-20161124-3011/3030.007.5024.0----
D Wiese2016-20161124-47---11.75---1-
DJ Willey2016-20161124-2322/2311.505.7512.0----
SC Williams2015-201666196117462/3129.005.3232.6----
HN Ya France2016-2016113011311/1313.002.6030.0----
Zeeshan Maqsood2015-20163248-5832/2019.337.2516.0--1-
Zeeshan Siddiqui2015-20151-0-----------
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