Best averages in 2019 in WT20Is - vs Chile Women
Best averages
Player | Span | Mat | Overs | Mdns | Balls | Runs | Wkts | BBI | Ave | Econ | SR | 4 | 5 | 10 |
NC Monteiro (BRA-W) | 2019-2019 | 1 | 2.0 | 2 | 12 | - | 3 | 3/0 | - | - | 4.00 | - | - | - |
T Basile (ARG-W) | 2023-2023 | 1 | 1.0 | 1 | 6 | - | 2 | 2/0 | - | - | 3.00 | - | - | - |
2019-2019 | 1 | 2.0 | 1 | 12 | 2 | 1 | 1/2 | 2.00 | 1.00 | 12.00 | - | - | - | |
2023-2023 | 3 | 6.0 | 3 | 36 | 17 | 7 | 3/0 | 2.42 | 2.83 | 5.14 | - | - | - | |
2019-2019 | 1 | 2.0 | - | 12 | 5 | 2 | 2/5 | 2.50 | 2.50 | 6.00 | - | - | - | |
2023-2023 | 1 | 0.2 | - | 2 | 3 | 1 | 1/3 | 3.00 | 9.00 | 2.00 | - | - | - | |
2019-2023 | 4 | 11.0 | 1 | 66 | 27 | 8 | 3/4 | 3.37 | 2.45 | 8.25 | - | - | - | |
2019-2023 | 4 | 6.0 | 1 | 36 | 9 | 2 | 1/0 | 4.50 | 1.50 | 18.00 | - | - | - | |
2019-2019 | 1 | 1.5 | - | 11 | 10 | 2 | 2/10 | 5.00 | 5.45 | 5.50 | - | - | - | |
2023-2023 | 2 | 2.0 | - | 12 | 6 | 1 | 1/6 | 6.00 | 3.00 | 12.00 | - | - | - | |
2019-2023 | 4 | 11.0 | 3 | 66 | 33 | 5 | 2/11 | 6.60 | 3.00 | 13.20 | - | - | - | |
2019-2019 | 1 | 4.0 | - | 24 | 14 | 2 | 2/14 | 7.00 | 3.50 | 12.00 | - | - | - | |
2019-2023 | 4 | 7.4 | 2 | 46 | 17 | 2 | 1/0 | 8.50 | 2.21 | 23.00 | - | - | - | |
2023-2023 | 2 | 3.0 | 1 | 18 | 10 | 1 | 1/4 | 10.00 | 3.33 | 18.00 | - | - | - | |
2019-2019 | 1 | 4.0 | - | 24 | 30 | 2 | 2/30 | 15.00 | 7.50 | 12.00 | - | - | - | |
2019-2019 | 1 | 3.0 | - | 18 | 16 | 1 | 1/16 | 16.00 | 5.33 | 18.00 | - | - | - | |
2019-2019 | 1 | 3.0 | - | 18 | 18 | 1 | 1/18 | 18.00 | 6.00 | 18.00 | - | - | - | |
2019-2019 | 1 | 2.0 | - | 12 | 24 | 1 | 1/24 | 24.00 | 12.00 | 12.00 | - | - | - | |
2019-2019 | 1 | 3.0 | - | 18 | 28 | 1 | 1/28 | 28.00 | 9.33 | 18.00 | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 1.0 | - | 6 | 1 | - | - | - | 1.00 | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 1.0 | - | 6 | 9 | - | - | - | 9.00 | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2023 | 4 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 2.0 | - | 12 | 18 | - | - | - | 9.00 | - | - | - | - | |
2023-2023 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 3.0 | - | 18 | 21 | - | - | - | 7.00 | - | - | - | - | |
2023-2023 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 1.2 | - | 8 | 16 | - | - | - | 12.00 | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 1.0 | - | 6 | 10 | - | - | - | 10.00 | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2023-2023 | 3 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2023-2023 | 1 | 1.0 | - | 6 | 9 | - | - | - | 9.00 | - | - | - | - | |
2019-2019 | 1 | 2.0 | - | 12 | 18 | - | - | - | 9.00 | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 1.0 | - | 6 | 15 | - | - | - | 15.00 | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2023 | 4 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 0 | - | - | - | - | - | - | - | - | - | |
2019-2019 | 1 | 0.0 | - | 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