Bowling Averages for All in the 2018 - India

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
MA Agarwal2018-20181-0---------3-
KK Ahmed2018-201812124503463173/1327.236.1726.4--2-
R Ashwin2018-201812212586961107404/2727.672.5664.6--2-
JJ Bumrah2018-2018324030761001591796/3320.133.1038.93-9-
YS Chahal2018-20183030124931165475/2224.785.5926.51-6-
DL Chahar2018-20182248-8021/3740.0010.0024----
S Dhawan2018-201844-0---------24-
MS Dhoni2018-201827-0---------2414
SS Iyer2018-20183-0---------2-
RA Jadeja2018-20181520171335956394/1724.513.3443.9--4-
KM Jadhav2018-2018117246116963/2328.164.1241--5-
KD Karthik2018-201824-0---------164
S Kaul2018-201855198-21832/3572.666.6066--1-
V Kohli2018-201839142-2711/2727.003.8542--27-
Kuldeep Yadav2018-201833351721121326766/2517.444.6222.63-7-
B Kumar2018-201827291252281006335/2430.484.8237.91-7-
Mohammed Shami2018-201816272693741573536/5629.673.5050.82-3-
Mohammed Siraj2018-20181124-5011/5050.0012.5024----
KK Nair2018-20181-0-----------
MK Pandey2018-201814-0---------3-
HH Pandya2018-201827331425181126285/2840.214.7450.81-12-
KH Pandya2018-201866144-19564/3632.508.1224--4-
RR Pant2018-201821-0---------492
AR Patel2018-2018116-16---16.00---1-
PA Patel2018-20182-0---------10-
CA Pujara2018-201815-0---------5-
AM Rahane2018-201820-0---------16-
KL Rahul2018-201830-0---------21-
SK Raina2018-20181667818911/2789.006.8478--12-
AT Rayudu2018-20181111---------4-
WP Saha2018-20181-0---------10-
V Shankar2018-201855102-15332/3251.009.0034--1-
I Sharma2018-201813232256781026455/5122.802.7250.11-3-
RG Sharma2018-201843-0---------20-
PP Shaw2018-20183-0---------2-
SN Thakur2018-20181212390-453144/2732.356.9627.8--4-
JD Unadkat2018-201866130-214103/3821.409.8713--2-
GH Vihari2018-2018473391316453/3732.802.9067.8--1-
M Vijay2018-201810484148---3.42---5-
Washington Sundar2018-201866144-14793/2216.336.1216--1-
UT Yadav2018-201816211384291011376/8827.324.3837.4119-
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