2022 Cricket – Women's Test matches Cricket Records
Women's Test matches
Best bowling figures in an innings
Rank | Player | Overs | Mdns | Runs conceded | Wickets taken | Econ | Team | Innings in match | Opposition | Ground | Match Date | Scorecard |
---|---|---|---|---|---|---|---|---|---|---|---|---|
🥇 1 | K Sciver-Brunt | 21.1 | 4 | 60 | 5 | 2.83 | ENG Women | 1 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
🥈 2 | KL Cross | 17.4 | 2 | 63 | 4 | 3.56 | ENG Women | 1 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
🥉 3 | K Sciver-Brunt | 9.0 | 2 | 24 | 3 | 2.66 | ENG Women | 3 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
🥉 3 | Nat Sciver-Brunt | 16.0 | 4 | 41 | 3 | 2.56 | ENG Women | 1 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
🥉 3 | EA Perry | 20.5 | 2 | 57 | 3 | 2.73 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
🥉 3 | A Sutherland | 13.0 | - | 69 | 3 | 5.30 | AUS Women | 4 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
🥉 3 | A Bosch | 18.0 | 4 | 77 | 3 | 4.27 | SA Women | 2 | v ENG Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
8 | CE Dean | 7.0 | 1 | 24 | 2 | 3.42 | ENG Women | 3 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
8 | AM King | 9.0 | 1 | 39 | 2 | 4.33 | AUS Women | 4 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
8 | IECM Wong | 14.1 | 4 | 46 | 2 | 3.24 | ENG Women | 3 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
8 | LK Bell | 16.0 | 4 | 47 | 2 | 2.93 | ENG Women | 1 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
8 | KL Cross | 18.0 | 3 | 56 | 2 | 3.11 | ENG Women | 3 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
8 | A Sutherland | 21.0 | 5 | 62 | 2 | 2.95 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
8 | N Mlaba | 22.0 | 3 | 74 | 2 | 3.36 | SA Women | 2 | v ENG Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
15 | JL Jonassen | 7.0 | 1 | 15 | 1 | 2.14 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | D Brown | 5.0 | - | 18 | 1 | 3.60 | AUS Women | 4 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | TM McGrath | 4.0 | - | 26 | 1 | 6.50 | AUS Women | 4 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | S Ecclestone | 12.0 | 4 | 26 | 1 | 2.16 | ENG Women | 3 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
15 | A Gardner | 9.0 | - | 27 | 1 | 3.00 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | EA Perry | 5.0 | - | 28 | 1 | 5.60 | AUS Women | 4 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | Nat Sciver-Brunt | 7.0 | 1 | 29 | 1 | 4.14 | ENG Women | 3 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | Nat Sciver-Brunt | 14.0 | 6 | 29 | 1 | 2.07 | ENG Women | 1 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
15 | S Ecclestone | 18.0 | 8 | 33 | 1 | 1.83 | ENG Women | 1 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
15 | TM McGrath | 10.0 | 1 | 35 | 1 | 3.50 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | A Shrubsole | 18.0 | 5 | 38 | 1 | 2.11 | ENG Women | 1 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | D Brown | 12.0 | 3 | 39 | 1 | 3.25 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | AN Davidson-Richards | 11.0 | 1 | 39 | 1 | 3.54 | ENG Women | 1 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
15 | IECM Wong | 13.0 | - | 54 | 1 | 4.15 | ENG Women | 1 | v SA Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
15 | AM King | 26.0 | 4 | 58 | 1 | 2.23 | AUS Women | 2 | v ENG Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | S Ecclestone | 24.0 | 4 | 68 | 1 | 2.83 | ENG Women | 3 | v AUS Women | Canberra | 27 Jan 2022 | Women's Test # 143 |
15 | TS Sekhukhune | 21.0 | 6 | 77 | 1 | 3.66 | SA Women | 2 | v ENG Women | Taunton | 27 Jun 2022 | Women's Test # 144 |
Showing 31 records
Additional Information
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