Records
2018 Records
Women T20I Matches Records
Bowling Best Career Economy Rate IN England

Best economy rates in 2018 in WT20Is IN England

Best economy rates
Player
Span
Mat
Overs
Mdns
Balls
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
TJ Vlaeminck (AUS-W)
2019-201912.0-12911/99.004.5012.0---
A Gardner (AUS-W)
2019-2022817.011027963/1613.164.6417.0---
HC Knight (ENG-W)
2018-2022196.0-363222/1716.005.3318.0---
N Mlaba (SA-W)
2022-2022415.11918163/2213.505.3415.1---
Diana Baig (PAK-W)
2022-202238.0-484411/1444.005.5048.0---
LCN Smith (ENG-W)
2019-201914.0-242222/2211.005.5012.0---
WK Dilhari (SL-W)
2022-202236.0-363411/2134.005.6636.0---
FC Jonas (NZ-W)
2022-2022412.0-726932/2223.005.7524.0---
K Sciver-Brunt (ENG-W)
2018-20222790.23542529334/1516.035.8516.41--
DM Kimmince (AUS-W)
2019-2019312.0-727221/2136.006.0036.0---
BF Smith (ENG-W)
2022-2022510.0-606021/1030.006.0030.0---
BM Halliday (NZ-W)
2021-202281.0-66---6.00----
Renuka Singh (IND-W)
2022-2022831.01186190124/1015.836.1215.52--
JL Jonassen (AUS-W)
2019-2022828.31171176114/2216.006.1715.51--
M Schutt (AUS-W)
2019-2022830.0-180186133/2014.306.2013.8---
MK Villiers (ENG-W)
2019-20211118.0-10811272/1016.006.2215.4---
KADA Kanchana (SL-W)
2022-202234.0-2425---6.25----
Nida Dar (PAK-W)
2022-202214.0-2425---6.25----
AC Kerr (NZ-W)
2018-20221039.01234245102/2224.506.2823.4---
EA Perry (AUS-W)
2019-201937.0-424432/1114.666.2814.0---
S Glenn (ENG-W)
2020-20222271.4-430454264/2317.466.3316.51--
S Ecclestone (ENG-W)
2018-202231113.54683736434/1817.116.4615.81--
RA Mair (NZ-W)
2022-202222.0-121311/1313.006.5012.0---
SS Grimmond (WI-W)
2020-202022.0-1213---6.50----
OU Ranasinghe (SL-W)
2022-2022310.0-606642/2016.506.6015.0---
AM King (AUS-W)
2022-2022518.0110811954/823.806.6121.61--
D Brown (AUS-W)
2022-2022517.0-10211341/1928.256.6425.5---
DB Sharma (IND-W)
2021-20221138.0-22825672/2436.576.7332.5---
Nat Sciver-Brunt (ENG-W)
2018-20222868.0-408459162/1628.686.7525.5---
Poonam Yadav (IND-W)
2021-2021312.0-728132/1727.006.7524.0---
IECM Wong (ENG-W)
2022-2022823.5214316162/1026.836.7523.8---
AMCJK Athapaththu (SL-W)
2022-202235.1-3135---6.77----
CL Tryon (SA-W)
2018-2022819.0-11412931/143.006.7838.0---
SJ Bruce (BRB-W)
2022-202235.0-303421/717.006.8015.0---
HK Matthews (BRB-W/WI-W)
2019-2022923.0113815782/2519.626.8217.2---
N de Klerk (SA-W)
2022-202226.01364133/713.666.8312.0---
S Molineux (AUS-W)
2019-201926.0-364111/2641.006.8336.0---
LK Bell (ENG-W)
2022-202227.0-4248---6.85----
CA Henry (WI-W)
2019-202059.0-546211/3362.006.8854.0---
HNK Jensen (NZ-W)
2018-20221345.41274315153/521.006.8918.2---
TM McGrath (AUS-W)
2022-2022514.01849783/1312.126.9210.5---
S Rana (IND-W)
2021-20221034.0-204236133/2418.156.9415.6---
D Hazell (ENG-W)
2018-2018519.0-11413262/2022.006.9419.0---
A Khaka (SA-W)
2022-2022519.0-11413343/1333.257.0028.5---
JM Kerr (NZ-W)
2021-2021310.0-607021/2335.007.0030.0---
AM Peterson (NZ-W)
2018-201847.0-424921/1324.507.0021.0---
Sadia Iqbal (PAK-W)
2022-202214.0-242811/2828.007.0024.0---
FG Kemp (ENG-W)
2022-2022921.0-12614982/1418.627.0915.7---
A Shrubsole (ENG-W)
2018-20201240.1324128583/1635.627.0930.1---
Omaima Sohail (PAK-W)
2022-202239.0-546411/2064.007.1154.0---
SC Selman (BRB-W/WI-W)
2020-2022718.4-11213373/2619.007.1216.0---
P Vastrakar (IND-W)
2022-2022615.0-9010811/16108.007.2090.0---
I Ranaweera (SL-W)
2022-2022310.0-607263/2912.007.2010.0---
SFM Devine (NZ-W)
2018-20221336.3-219267123/3722.257.3118.2---
S Pandey (IND-W)
2021-202139.0-546633/2222.007.3318.0---
RP Yadav (IND-W)
2021-20221133.0119824362/1840.507.3633.0---
G Wareham (AUS-W)
2019-201938.0-485922/2229.507.3724.0---
Shafali Verma (IND-W)
2021-2022116.0-364511/845.007.5036.0---
JM Watkin (NZ-W)
2018-201826.0-364522/2722.507.5018.0---
SR Taylor (WI-W)
2019-2020618.0-10813652/1227.207.5521.6---
KL George (ENG-W)
2018-201827.0-425321/2226.507.5721.0---
SW Bates (NZ-W)
2018-20221310.0-607611/1776.007.6060.0---
LMM Tahuhu (NZ-W)
2018-2022921.0112616033/2053.337.6142.0---
S Ismail (SA-W)
2018-2022831.0-18623862/2739.667.6731.0---
D Tucker (SA-W)
2022-202248.0-4862---7.75----
AE Satterthwaite (NZ-W)
2018-202188.5-537021/2835.007.9226.5---
SS Connell (BRB-W/WI-W)
2019-2022930.0-18023893/1426.447.9320.0---
HM Rowe (NZ-W)
2018-20221015.0-9012052/1224.008.0018.0---
Meghna Singh (IND-W)
2022-2022513.0-7810431/1234.668.0026.0---
EJ Carson (NZ-W)
2022-202225.0-304022/3020.008.0015.0---
FR Davies (ENG-W)
2020-2022927.4-16622361/1137.168.0627.6---
D van Niekerk (SA-W)
2018-2018415.0-90122---8.13----
ASS Fletcher (WI-W)
2019-2020413.0-7810621/2553.008.1539.0---
Tuba Hassan (PAK-W)
2022-202236.0-364911/1849.008.1636.0---
KL Cross (ENG-W)
2019-2019412.0-729921/2049.508.2536.0---
BMSM Kumari (SL-W)
2022-202237.0-4258---8.28----
A Bosch (SA-W)
2022-2022612.0-7210021/1350.008.3336.0---
Anam Amin (PAK-W)
2022-202226.0-3650---8.33----
NE Farrant (ENG-W)
2018-2021413.518311762/2719.508.4513.8---
JL Gunn (ENG-W)
2018-201826.0-3651---8.50----
H Kaur (IND-W)
2021-2022116.0-365111/751.008.5036.0---
KE Ebrahim (NZ-W)
2018-201822.0-1217---8.50----
LM Kasperek (NZ-W)
2018-2021723.0-138196103/2519.608.5213.8---
DJS Dottin (BRB-W/WI-W)
2020-2022814.0-8412332/2941.008.7828.0---
R Ntozakhe (SA-W)
2018-2018410.0-608811/2088.008.8060.0---
AA Alleyne (BRB-W/WI-W)
2020-2022614.0-8412432/2541.338.8528.0---
A Capsey (ENG-W)
2022-2022106.0-365411/1054.009.0036.0---
Aiman Anwer (PAK-W)
2022-202214.0-2437---9.25----
A Reddy (IND-W)
2021-202137.0-426711/3067.009.5742.0---
Fatima Sana (PAK-W)
2022-2022310.4-6410332/4134.339.6521.3---
LA Marsh (ENG-W)
2019-201926.0-3659---9.83----
Z Mali (SA-W)
2018-2018312.0-7212032/3940.0010.0024.0---
K Ramharack (WI-W)
2019-202024.0-244011/2740.0010.0024.0---
H Deol (IND-W)
2021-202241.0-610---10.00----
WGAKK Kulasuriya (SL-W)
2022-202211.0-610---10.00----
M Kapp (SA-W)
2018-2018413.2-8013421/3067.0010.0540.0---
GA Elwiss (ENG-W)
2019-201912.0-1222---11.00----
KO Elliott (BRB-W)
2022-202211.0-611---11.00----
M Klaas (SA-W)
2018-2022719.0-11422142/755.2511.6328.5---
RS Gayakwad (IND-W)
2022-202212.0-1224---12.00----
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