Players - vs Australia

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
MA Agarwal2020-2021516-10---10.00---5-
R Ashwin2020-20213680519346124/5528.832.5767.0--1-
TA Boult2021-202155114-14472/2220.577.5716.2--1-
JJ Bumrah2020-20216988330518154/5634.533.5158.8--1-
YS Chahal2020-202055186-27753/2555.408.9337.2----
DL Chahar2020-20203372-11111/29111.009.2572.0----
MS Chapman2021-20212112-911/99.004.5012.0----
DP Conway2021-20215-0---------4-
S Dhawan2020-20206-0---------3-
MJ Guptill2021-20215-0---------6-
SS Iyer2020-20205-0---------1-
RA Jadeja2020-202166405929084/6236.254.2950.6--4-
KA Jamieson2021-20214490-17511/32175.0011.6690.0--3-
V Kohli2020-20207-0---------4-
Kuldeep Yadav2020-20201160-5711/5757.005.7060.0--1-
Mohammed Shami2020-202044240421943/5954.755.4760.0--1-
Mohammed Siraj2020-20213680632384135/7329.532.8562.01-2-
T Natarajan2020-2021563628272113/3024.724.5032.9----
JDS Neesham2021-20215336-7922/1039.5013.1618.0--2-
MK Pandey2020-20201-0-----------
HH Pandya2020-20206124-2411/2424.006.0024.0--4-
RR Pant2020-20213-0---------8-
GD Phillips2021-20215112-21---10.50---3-
CA Pujara2020-20214-0---------3-
AM Rahane2020-20214-0---------6-
KL Rahul2020-20206-0---------6-
WP Saha2020-20201-0-----------
NA Saini2020-202146353532552/5465.005.5270.6--1-
SV Samson2020-20203-0---------1-
MJ Santner2021-20214493-9764/3116.166.2515.5--2-
TL Seifert2021-20215-0---------21
RG Sharma2021-2021211-1---6.00---5-
PP Shaw2020-20201-0-----------
Shubman Gill2020-20214-0---------2-
IS Sodhi2021-202155114-157134/2812.078.268.7--3-
TG Southee2021-202155114-16462/1027.338.6319.0--3-
SN Thakur2020-2021453669288124/6124.004.7230.5--2-
GH Vihari2020-20213-0---------1-
Washington Sundar2020-202145366725463/8942.334.1661.0--2-
KS Williamson2021-20215-0---------3-
UT Yadav2020-202024238813343/4033.253.3559.5----
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