Averages Batting - vs New Zealand

Batting Averages for T20Is in the 2017 - vs New Zealand

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
HM Amla2017-201711-626262.00144.18-1-
S Badree2017-201711-222.0066.66---
F Behardien2017-201711-888.00114.28---
CR Brathwaite2017-201711-212121.00150.00---
JJ Bumrah2017-201731111*-50.00---
YS Chahal2017-20173---------
Q de Kock2017-201711-------1
AB de Villiers2017-201711-262626.00152.94---
S Dhawan2017-201733-878029.00140.32-1-
MS Dhoni2017-2017332564956.00143.58---
JP Duminy2017-201711-292929.00181.25---
F du Plessis2017-201711-363636.00144.00---
ADS Fletcher2017-201711-272727.00108.00---
CH Gayle2017-201711-121212.00150.00---
SD Hope2017-201711-151515.0088.23---
Imran Tahir2017-20171---------
Imrul Kayes2017-201732-------2
SS Iyer2017-201732-292314.50107.40---
V Kohli2017-20173311046552.00176.27-1-
Kuldeep Yadav2017-20171---------
B Kumar2017-201731122*-66.66---
Mahmudullah2017-201733-895229.66117.10-1-
Mashrafe Mortaza2017-201732-211.0040.00---
JN Mohammed2017-201711-333.0060.00---
Mohammed Siraj2017-20171---------
CH Morris2017-201711199*-128.57---
Mosaddek Hossain2017-201733-332011.00106.45---
Mustafizur Rahman2017-2017211-0*-----
A Nehra2017-20171---------
AR Nurse2017-20171112020*-222.22---
Nurul Hasan2017-2017332241024.00120.00---
MK Pandey2017-201711-171717.00154.54---
HH Pandya2017-20173311514*7.50107.14--1
WD Parnell2017-201711144*-400.00---
AR Patel2017-201721-555.00166.66---
D Paterson2017-20171---------
AL Phehlukwayo2017-20171---------
R Powell2017-201711-666.0066.66---
Rubel Hossain2017-201733242*4.0080.00---
Sabbir Rahman2017-201733-824827.33130.15---
Shakib Al Hasan2017-201733-564118.66112.00---
RG Sharma2017-201733-938031.00132.85-1-
Soumya Sarkar2017-201733-814227.00147.27--1
Tamim Iqbal2017-201733-482416.00137.14---
Taskin Ahmed2017-20171---------
JE Taylor2017-201711-202020.00200.00---
CAK Walton2017-201711-777.0077.77---
KOK Williams2017-201711-333.0060.00---
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