Players

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
MR Aguilleira2016-201622-362118.00100.00---
Aiman Anwer2016-20161---------
Aliya Riaz2016-20163112828*-127.27---
Anam Amin2016-20164---------
Asmavia Iqbal2016-201643-642.0037.50---
Ayasha Rahman2016-201622-864.0053.33---
Ayesha Zafar2016-201655-662813.2077.64---
SW Bates2016-201744-873121.7585.29--1
KM Beams2017-201731-222.0050.00---
EM Bermingham2017-20173311155.50122.22---
E Bisht2016-201671-------1
Bismah Maroof2016-201654-452511.2580.35---
AJ Blackwell2017-20173315230*26.0081.25---
SA Campbelle2016-20161---------
SS Connell2016-20162---------
B Cooper2016-201633-321610.6665.30---
SFM Devine2016-201611-141414.00100.00---
DJS Dottin2016-2016331523526.00162.50---
Fahima Khatun2016-201621-------1
Fargana Hoque2016-201611-222.0014.28---
ASS Fletcher2016-20161---------
A Gardner2017-201733-551.6629.41--2
J Goswami2016-201675-35177.00120.68---
ML Green2017-201722-17148.5070.83---
MDN Hansika2016-201622-18109.0056.25---
AJ Healy2017-201732-17128.5089.47---
HR Huddleston2017-2017321555.0035.71---
Iram Javed2016-20164414617*15.3370.76---
Jahanara Alam2016-20163321612*16.0088.88---
Javeria Khan2016-201655211256*37.3394.11-1-
AMCJK Athapaththu2016-201633-793926.33109.72---
JL Jonassen2017-201732-321.5050.00---
M Joshi2016-20161---------
KADA Kanchana2016-201611-111.0033.33---
H Karunaratne2016-201621-999.0050.00---
LM Kasperek2017-20171---------
H Kaur2016-201677323168*57.75116.66-2-
LE Kaushalya2016-201632-884.0066.66--1
AC Kerr2016-201722221*-100.00---
Khadija Tul Kubra2016-2016321656.0054.54---
Kycia A Knight2016-2016332181618.00112.50---
V Krishnamurthy2016-20167711165019.3387.87-1-
BMSM Kumari2016-201621144*-66.66---
MM Lanning2017-201733-746024.6690.24-1-
S Mandhana2016-201677-1034114.7189.56---
KJ Martin2016-201744-27196.7581.81---
HK Matthews2016-201633-924730.66146.03---
S Meghana2016-2016661541910.8087.09---
BYA Mendis2016-201622-252412.5062.50---
A Mohammed2016-20163---------
BL Mooney2017-201733-642.0033.33---
Nahida Akter2016-201611-111.0033.33---
Nain Abidi2016-20165427437*37.0091.35--1
CN Nation2016-20163---------
TMM Newton2016-201611-111.0014.28---
Nida Dar2016-20165312312*11.5062.16---
MJG Nielsen2016-2016111-0*-----
Nigar Sultana2016-201632-221.0016.66--1
S Pandey2016-201651-555.0083.33---
Panna Ghosh2016-201632-110.5010.00--1
AA Patil2016-201675332*1.5060.00--1
GWHM Perera2016-2016331249*12.0054.54---
KT Perkins2016-201733-24178.0061.53---
EC Perry2016-201744-402610.0090.90--1
AM Peterson2017-201733-25158.3383.33---
Poonam Yadav2016-20164---------
KDU Prabodhani2016-201632154*5.0062.50---
NM Parween2016-201631-111.0033.33---
Preeti Bose2016-201651122*-33.33---
RH Priest2016-201744-452011.2581.81---
SL Quintyne2016-201631199*-112.50---
M Raj2016-201644222073*110.0091.66-2-
OU Ranasinghe2016-201611-------1
I Ranaweera2016-201631133*-42.85---
Ritu Moni2016-201621-111.0020.00---
Rumana Ahmed2016-201633-14114.6645.16---
Sadia Yousuf2016-201641-222.0040.00---
Salma Khatun2016-201632-18179.0050.00---
Sana Mir2016-2016531351717.5092.10---
Sanjida Islam2016-201633-373512.3354.41---
AE Satterthwaite2016-20174418540*28.33104.93---
M Schutt2017-201732-221.0033.33--1
SC Selman2016-20163---------
Shaila Sharmin2016-20163314325*21.5057.33--1
Shamima Sultana2016-201611-171717.0065.38---
DB Sharma2016-201611-242424.00109.09---
Sidra Nawaz2016-201652142*4.0057.14---
M Strano2017-201732-110.5025.00--1
MADD Surangika2016-2016331532426.5079.10---
LMM Tahuhu2016-2017442311615.50119.23--1
SR Taylor2016-20163311819090.50119.07-1-
VR Vanitha2016-201622-331.5050.00--1
S Verma2016-20164---------
EJ Villani2017-20173319273*46.00139.39-11
PM Weerakkody2016-201632-352117.5097.22---
SS Weerakkody2016-201621-111.0012.50---
A Wellington2017-2017321989.0090.00---
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