Bowling Averages for Tests+ODIs+T20Is in the 2018 - Netherlands

Bowling averages
Player
Span
Mat
Inns
Balls
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
5
10
Ct
St
CN Ackermann2019-20222618324-29791/633.005.5036.0--7-
W Barresi2018-202213546-6621/333.008.6023.0--4-
PRP Boissevain2019-20221313441-559102/3955.907.6044.1--6-
TS Braat2019-202166108-16293/2618.009.0012.0--1-
BN Cooper2018-202141-0---------22-
TLW Cooper2022-202221596-7911/2579.004.9396.0--9-
BFW de Leede2018-202254387611887363/1924.636.9921.1--25-
JL de Mey2021-20213242-6711/3567.009.5742.0--1-
A Dutt2021-202219196216582152/1438.805.6241.4--2-
SA Edwards2018-202276-0---------609
C Floyd2019-202266156216052/4132.006.1531.2----
BD Glover2019-202232328753923454/1220.516.3219.4--7-
BHG Gorlee2022-20223-0-----------
VJ Kingma2019-202223238527854253/2134.166.0134.0--4-
FJ Klaassen2018-202251501536111452655/1922.335.6723.61-20-
R Klein2022-202266199121731/1872.336.5466.3--1-
Musa Ahmed2021-20228-0---------2-
SJ Myburgh2018-202228-0---------9-
AT Nidamanuru2022-20221416-8---8.00---1-
MP O'Dowd2018-202270879-11511/10115.008.7379.0--20-
HC Overdijk2018-20194348-7232/2324.009.0016.0--2-
TJG Pringle2022-20221717445146181/1057.626.2155.6--5-
MJG Rippon2018-202265270320183/2325.124.4633.7--2-
Saqib Zulfiqar2018-2022138132-14841/437.006.7233.0--2-
PM Seelaar2018-20225854155291444473/1730.725.5833.0--22-
Shariz Ahmad2022-20221111216-22392/1524.776.1924.0--1-
Sikander Zulfiqar2018-20199760-7931/926.337.9020.0--2-
S Snater2018-202217163591525153/4235.008.7723.9--7-
AJ Staal2019-202114-0-----------
RN ten Doeschate2018-20211516-411/44.004.006.0--1-
DJ ter Braak2018-20182-0-----------
LV van Beek2021-20223231112891106384/2729.105.8829.6--18-
T van der Gugten2018-202221215104520213/924.766.1124.2--7-
RE van der Merwe2018-202231306371648294/3522.346.1021.9--13-
PA van Meekeren2018-20224645111151226544/3822.706.6220.5--17-
Vikramjit Singh2019-202220-0---------2-
TP Visee2018-202130-0---------7-
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