Records
2018 Records
Women Test Matches Records
Bowling Best Career Bowling Average

Best averages in 2018 in WTESTs

Best averages
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
DB Sharma (IND-W)
2021-2023497.327585220165/713.752.2536.5611-
HC Knight (ENG-W)
2019-2023639.0112348652/717.202.2046.80---
P Vastrakar (IND-W)
2021-2023480.415484270144/5319.283.3434.571--
K Sciver-Brunt (ENG-W)
2019-2022388.118529246125/6020.502.7944.08-1-
A Gardner (AUS-W)
2019-20235167.2311004454218/6621.612.7147.80211
S Rana (IND-W)
2021-2023394.013564294134/6322.613.1243.382--
S Molineux (AUS-W)
2019-2021267.01440216374/9523.282.4357.421--
H Kaur (IND-W)
2021-2023314.0-844822/2324.003.4242.00---
J Goswami (IND-W)
2021-2021249.0122949942/3324.752.0273.50---
A Bosch (SA-W)
2022-2022118.041087733/7725.664.2736.00---
Nat Sciver-Brunt (ENG-W)
2019-20236108.432652277103/4127.702.5465.20---
CE Dean (ENG-W)
2022-2023257.0534220474/6829.143.5748.851--
S Ecclestone (ENG-W)
2019-20236307.0701842893295/6330.792.9063.51221
TM McGrath (AUS-W)
2021-2023470.01142019563/2432.502.7870.00---
LK Bell (ENG-W)
2022-2023378.01346826483/6733.003.3858.50---
LA Marsh (ENG-W)
2019-2019147.0728213242/4233.002.8070.50---
S Campbell (AUS-W)
2021-2021118.031086622/4733.003.6654.00---
Meghna Singh (IND-W)
2021-2021121.021266622/5433.003.1463.00---
IECM Wong (ENG-W)
2022-2022127.1416310032/4633.333.6854.33---
EA Perry (AUS-W)
2019-2023584.51250928983/5736.123.4063.62---
N Mlaba (SA-W)
2022-2022122.031327422/7437.003.3666.00---
A Sutherland (AUS-W)
2021-2023481.31548929883/6937.253.6561.12---
KL Gordon (ENG-W)
2019-2019136.4822011932/5039.663.2473.33---
G Wareham (AUS-W)
2021-2021111.02664011/1240.003.6366.00---
KJ Garth (AUS-W)
2023-2023251.0930617042/5842.503.3376.50---
AN Davidson-Richards (ENG-W)
2022-2022114.02844311/3943.003.0784.00---
RS Gayakwad (IND-W)
2021-2023373.11843918142/2045.252.47109.75---
JL Jonassen (AUS-W)
2019-2023460.51036518442/5046.003.0291.25---
KL Cross (ENG-W)
2021-20235151.423910559114/6350.813.6882.721--
L Filer (ENG-W)
2023-2023250.0430024542/4961.254.9075.00---
Renuka Singh (IND-W)
2023-2023233.0619812921/3064.503.9099.00---
D Brown (AUS-W)
2021-2023351.0430621431/1871.334.19102.00---
AM King (AUS-W)
2022-2023369.0741422732/3975.663.28138.00---
TS Sekhukhune (SA-W)
2022-2022121.061267711/7777.003.66126.00---
A Shrubsole (ENG-W)
2019-2022376.21645821821/18109.002.85229.00---
TT Beaumont (ENG-W)
2019-202360.0-0---------
T Bhatia (IND-W)
2021-202120.0-0---------
YH Bhatia (IND-W)
2021-202330.0-0---------
NE Bolton (AUS-W)
2019-201910.0-0---------
L Cheatle (AUS-W)
2023-202319.035423---2.55----
N de Klerk (SA-W)
2022-2022128.0516890---3.21----
SIR Dunkley (ENG-W)
2021-202353.0-1822---7.33----
GA Elwiss (ENG-W)
2019-2021213.037840---3.07----
RM Ghosh (IND-W)
2023-202310.0-0---------
L Goodall (SA-W)
2022-202210.0-0---------
RL Haynes (AUS-W)
2019-202220.0-0---------
AJ Healy (AUS-W)
2019-202350.0-0---------
S Jafta (SA-W)
2022-202210.0-0---------
AE Jones (ENG-W)
2019-202360.0-0---------
M Kapp (SA-W)
2022-2022121.0912640---1.90----
EL Lamb (ENG-W)
2022-202322.0-127---3.50----
MM Lanning (AUS-W)
2019-202230.0-0---------
L Lee (SA-W)
2022-202210.0-0---------
P Litchfield (AUS-W)
2023-202320.0-0---------
S Luus (SA-W)
2022-2022110.0-6053---5.30----
S Mandhana (IND-W)
2021-202340.0-0---------
BL Mooney (AUS-W)
2019-202350.0-0---------
S Pandey (IND-W)
2021-2021115.039061---4.06----
M Raj (IND-W)
2021-202120.0-0---------
PG Raut (IND-W)
2021-202120.0-0---------
JI Rodrigues (IND-W)
2023-202322.0-1213---6.50----
M Schutt (AUS-W)
2019-201917.04426---0.85----
Shafali Verma (IND-W)
2021-202340.0-0---------
S Shubha (IND-W)
2023-202310.0-0---------
A Steyn (SA-W)
2022-202210.0-0---------
SJ Taylor (ENG-W)
2019-201910.0-0---------
TJ Vlaeminck (AUS-W)
2019-2019111.026637---3.36----
L Winfield-Hill (ENG-W)
2021-202220.0-0---------
L Wolvaardt (SA-W)
2022-202210.0-0---------
DN Wyatt (ENG-W)
2023-202320.0-0---------
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