Averages Batting - vs Thailand Women

Batting Averages for Minor T20s in the 2020 - vs Thailand Women

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
TM Sarkar2020-20201---------
TS Hasabnis2020-202011-252525.00108.69---
RA Mair2020-20201---------
K Anjali Sarvani2020-20201---------
SD Bahadur2020-202011111*-50.00---
SW Bates2020-202011-787878.00165.95-1-
YH Bhatia2020-20201116565*-125.00-1-
MK Dakshini2020-202021-999.00150.00---
H Deol2020-202011-141414.0066.66---
SFM Devine2020-20201---------
LR Down2020-2020111-0*-----
Fahima Khatun2020-20201112828*-215.38---
Fargana Hoque2020-202011-999.0045.00---
BS Fulmali2020-2020221111111.00122.22---
ML Green2020-202011-343434.00136.00---
HR Huddleston2020-20201---------
Jahanara Alam2020-202011-------1
Jasia Akhtar2020-202011-101010.0066.66---
HNK Jensen2020-20201---------
K Jincy George2020-202022-494424.5098.00---
RV Kalpana2020-202021199*-90.00---
R Kanojiya2020-202021111*-50.00---
TP Kanwar2020-20201---------
LM Kasperek2020-20201---------
AC Kerr2020-202011-545454.00135.00-1-
JM Kerr2020-20201---------
NT Kohale2020-20201---------
M Mani2020-20201---------
KJ Martin2020-20201---------
S Meghana2020-202011-555555.00127.90-1-
Meghna Singh2020-202011-------1
M Mehta2020-20202212221*22.0057.89---
S Mostary2020-202011-222.0050.00---
Nahida Akter2020-2020111-0*-----
Nigar Sultana2020-202011-151515.0078.94---
Panna Ghosh2020-20201---------
SS Parab2020-20201---------
KT Perkins2020-202011188*-400.00---
AM Peterson2020-20201---------
SD Pradhan2020-202022-1276.00100.00---
RH Priest2020-202011-151515.00187.50---
PS Punia2020-202011-232323.0082.14---
S Rana2020-202011-------1
Renuka Singh2020-202021-------1
Salma Khatun2020-202011-111.0050.00---
Sanjida Islam2020-202011-212121.0091.30---
Shaila Sharmin2020-202011-111.00100.00---
Shamima Sultana2020-202011-383838.00102.70---
SS Shinde2020-20201---------
LMM Tahuhu2020-20201---------
KR Zanzad2020-20201---------
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