Records
2016 Records
ODI Matches Records
Averages Batting IN Australia

Batting Averages for ODIs in the 2016 IN Australia

Batting averages
Player
Span
Mat
Inns
NO
Runs
HS
Ave
SR
100
50
0
R Ashwin2016-201621-111.0050.00---
GJ Bailey2016-201688226711244.5089.8911-
SM Boland2016-20164---------
TA Boult2016-201633242*4.0028.57---
JJ Bumrah2016-20161---------
PJ Cummins2016-2016311-0*-----
C de Grandhomme2016-201633-29129.6690.62---
R Dhawan2016-201632112912.0092.30---
S Dhawan2016-201655-28712657.40100.3412-
MS Dhoni2016-201655-863417.20111.68--1
JP Faulkner2016-20167523621*12.0083.72--1
LH Ferguson2016-201622144*4.0022.22--1
AJ Finch2016-201688-23510729.3786.71111
MJ Guptill2016-201633-19311464.33110.281--
Gurkeerat Singh2016-20163311386.50100.00---
JW Hastings2016-201643322*-66.66---
JR Hazlewood2016-20164---------
TM Head2016-201633-1465748.6690.12-2-
MJ Henry2016-201622-342717.00121.42---
RA Jadeja2016-20165434524*45.00107.14---
V Kohli2016-201655-38111776.2099.2122-
B Kumar2016-201621-222.0033.33---
TWM Latham2016-201633-342811.3362.96---
NM Lyon2016-20162---------
MR Marsh2016-2016773241102*60.25121.71111
SE Marsh2016-201633-1407146.6681.87-2-
GJ Maxwell2016-20164411699656.33126.11-1-
C Munro2016-201633-804926.6673.39---
JDS Neesham2016-201622-1087454.0090.75-1-
HM Nicholls2016-201611-333.0027.27---
MK Pandey2016-2016321110104*110.00127.901--
JS Paris2016-20162---------
AM Rahane2016-201643-1418947.00102.17-2-
KW Richardson2016-20163---------
MJ Santner2016-201633-17155.6651.51--1
I Sharma2016-201641-------1
RG Sharma2016-2016551441171*110.25101.6121-
SPD Smith2016-201688-55116468.87103.37221
TG Southee2016-201622-643.0033.33---
BB Sran2016-20163---------
MA Starc2016-2016321111111.00220.00---
MS Wade2016-201686-1053817.50117.97--1
DA Warner2016-201666-51915686.50106.5731-
BJ Watling2016-201633-311710.3364.58---
KS Williamson2016-201633-1038134.3395.37-1-
UT Yadav2016-2016521222.0018.18---
A Zampa2016-201611122*-100.00---
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