Bowling Averages for Tests in the 2018 - India

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
MA Agarwal2018-202221-0---------14-
R Ashwin2018-20234076917133638741867/7120.822.5349.38111-
KS Bharat2023-20235-0---------121
JJ Bumrah2018-20233159642825928841326/2721.842.6948.68-8-
S Dhawan2018-20186-0---------4-
Ishan Kishan2023-20232-0---------5-
SS Iyer2021-20231116-2---2.00---12-
RA Jadeja2018-20233261625223627031107/4224.572.5956.83113-
YBK Jaiswal2023-20233-0---------2-
KD Karthik2018-20183-0---------61
V Kohli2018-202349212-8---4.00---50-
Kuldeep Yadav2018-202261093124546255/4021.843.5137.23-2-
B Kumar2018-20182440222203104/8720.303.0240.2--2-
Mohammed Shami2018-20233770638221634221346/5625.533.2147.64-10-
Mohammed Siraj2020-2023224034191071875615/6030.733.2956.02-11-
Mukesh Kumar2023-202312138105322/4826.502.3069.0----
S Nadeem2019-2021244581127382/1834.123.5757.2--1-
T Natarajan2021-202112230711933/7839.663.1076.6----
HH Pandya2018-201881474516433135/2833.303.4857.31-3-
RR Pant2018-202233-0---------11914
AR Patel2021-20231223225892858506/3817.162.2745.1513-
PA Patel2018-20182-0---------10-
M Prasidh Krishna2023-20231112029311/9393.004.65120.0----
CA Pujara2018-20234916-1---1.00---27-
AM Rahane2018-202342-0---------45-
KL Rahul2018-202327-0---------31-
WP Saha2018-20219-0---------272
NA Saini2021-202124251517242/5443.004.1162.7--1-
I Sharma2018-2021264839741501817855/2221.372.7446.74-7-
RG Sharma2018-202330649222---2.69---28-
PP Shaw2018-20205-0---------2-
Shubman Gill2020-20231917-1---0.85---14-
SN Thakur2018-20231119144936880317/6128.383.6446.71-5-
JD Unadkat2022-2023363181313032/5043.332.45106.0--3-
GH Vihari2018-202216103451018053/3736.003.1369.0--4-
M Vijay2018-20188354131---3.44---5-
Washington Sundar2021-2021475261029963/8949.833.4187.6--1-
J Yadav2021-20222419899854/4919.602.9639.6--2-
SA Yadav2023-20231-0-----------
UT Yadav2018-202321423081761708716/8824.053.3243.3218-
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