Bowling Most 10wm Career IN New Zealand

Most ten-wickets-in-a-match in 2020 in WT20Is IN New Zealand

Most ten-wickets-in-a-match
Player
Span
Mat
Inns
Balls
Overs
Mdns
Runs
Wkts
BBI
Ave
Econ
SR
4
5
10
EA Perry (AUS-W)2021-20213161.0-811/88.008.006.00---
A Gardner (AUS-W)2021-20213161.0-8---8.00----
Fahima Khatun (BAN-W)2022-20221161.0-10---10.00----
Aliya Riaz (PAK-W)2023-20233161.0-711/77.007.006.00---
TS Sekhukhune (SA-W)2020-202022122.0-2411/1224.0012.0012.00---
AE Satterthwaite (NZ-W)2021-202161122.0-11---5.50----
BM Halliday (NZ-W)2021-202271122.0-1111/1111.005.5012.00---
S Rana (IND-W)2022-202211122.0-12---6.00----
SD Bahadur (IND-W)2022-202211122.0-26---13.00----
Waheeda Akhtar (PAK-W)2023-202311122.0-18---9.00----
SW Bates (NZ-W)2020-2023111183.0-24---8.00----
N Mlaba (SA-W)2020-202022183.0-33---11.00----
Sanjida Akter Meghla (BAN-W)2022-202211183.0-25---8.33----
Umm-e-Hani (PAK-W)2023-202311183.0-25---8.33----
M Klaas (SA-W)2020-202022203.2-43---12.90----
N de Klerk (SA-W)2020-202032244.0-33---8.25----
M Kapp (SA-W)2020-202011244.0-31---7.75----
NE Farrant (ENG-W)2021-202111244.0-17---4.25----
TJ Vlaeminck (AUS-W)2021-202121244.0126---6.50----
D Brown (AUS-W)2021-202111244.0-2611/2626.006.5024.00---
DB Sharma (IND-W)2022-202211244.0-2622/2613.006.5012.00---
Poonam Yadav (IND-W)2022-202211244.0-34---8.50----
RS Gayakwad (IND-W)2022-202211244.0-3911/3939.009.7524.00---
P Vastrakar (IND-W)2022-202211244.011622/168.004.0012.00---
Rumana Ahmed (BAN-W)2022-202232244.0-3711/1737.009.2524.00---
Fariha Trisna (BAN-W)2022-202211244.0-1911/1919.004.7524.00---
Rabeya Khan (BAN-W)2022-202211244.0-2711/2727.006.7524.00---
HR Huddleston (NZ-W)2020-202022305.0-4222/3321.008.4015.00---
MM Penfold (NZ-W)2023-202322305.0-3522/1717.507.0015.00---
AM Peterson (NZ-W)2020-202022366.0-3233/1410.665.3312.00---
MK Villiers (ENG-W)2021-202133366.0-4143/1010.256.839.00---
NJ Carey (AUS-W)2021-202132366.0-4421/2022.007.3318.00---
S Luus (SA-W)2020-202033386.2-5632/2718.668.8412.66---
FR Davies (ENG-W)2021-202133427.0-3354/236.604.718.401--
Ritu Moni (BAN-W)2022-202232427.0-4021/1220.005.7121.00---
K Sciver-Brunt (ENG-W)2021-202122467.4-3242/138.004.1711.50---
CL Tryon (SA-W)2020-202044488.0-81---10.12----
FL Mackay (NZ-W)2021-202122488.0-4932/2016.336.1216.00---
JL Jonassen (AUS-W)2021-202132488.0-4833/2616.006.0016.00---
M Schutt (AUS-W)2021-202132488.0-5032/2416.666.2516.00---
G Wareham (AUS-W)2021-202132488.0-4421/1822.005.5024.00---
Jahanara Alam (BAN-W)2022-202222488.0-6911/2669.008.6248.00---
Marufa Akter (BAN-W)2022-202222488.0-6432/2221.338.0016.00---
Diana Baig (PAK-W)2023-202322488.0-5611/2756.007.0048.00---
Nashra Sandhu (PAK-W)2023-202322488.0-4111/1941.005.1248.00---
S Glenn (ENG-W)2021-2021336010.015952/1111.805.9012.00---
Salma Khatun (BAN-W)2022-2022336010.0-8411/3584.008.4060.00---
Fatima Sana (PAK-W)2023-2023336010.0-5663/189.335.6010.00---
D van Niekerk (SA-W)2020-2020336611.0-6011/1060.005.4566.00---
Nat Sciver-Brunt (ENG-W)2021-2021336611.0-7352/2514.606.6313.20---
HM Rowe (NZ-W)2021-2023756611.0-9911/2599.009.0066.00---
Nahida Akter (BAN-W)2022-2022336611.0-8521/2542.507.7233.00---
Nida Dar (PAK-W)2023-2023336611.0-6821/1934.006.1833.00---
S Ecclestone (ENG-W)2021-2021337212.015152/1810.204.2514.40---
Sadia Iqbal (PAK-W)2023-2023337212.0-7232/2924.006.0024.00---
S Ismail (SA-W)2020-2020448414.0-8721/1943.506.2142.00---
A Khaka (SA-W)2020-2020449015.0-10242/1425.506.8022.50---
EJ Carson (NZ-W)2022-20235510818.0-10762/1917.835.9418.00---
LM Kasperek (NZ-W)2020-20215511419.0-11162/1718.505.8419.00---
HNK Jensen (NZ-W)2020-202212813422.2-132113/812.005.9112.18---
FC Jonas (NZ-W)2022-20236613722.519852/219.604.2927.40---
RA Mair (NZ-W)2020-20219916026.4-16772/2223.856.2622.85---
LMM Tahuhu (NZ-W)2020-20239917429.0-164114/614.905.6515.811--
SFM Devine (NZ-W)2020-2023141418530.5-238123/3019.837.7115.41---
JM Kerr (NZ-W)2020-2023131324140.1-23872/1734.005.9234.42---
AC Kerr (NZ-W)2020-2023161531853.01297143/1121.215.6022.71---
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