Cricket Ratings, Rankings and Awards; powered via an original, unique and comprehensive scoring system. These are NOT the ICC rankings.
Gen1
Gen2
Gen3
Gen4
Gen5
| Group | Sub-Group | SG_rank | Team (or Player) | Stats |
|---|---|---|---|---|
| England_25 | Gen1 | 2 |
Lydia Greenway (England)
|
2004-2016 | M-85 | Ct/St-54 | FPM-0.6 | avgCR-13.19 | totCR-1 | 121.41 |
| England_25 | Gen1 | 3 |
Holly Colvin (England)
|
2007-2013 | M-50 | Ct/St-19 | FPM-0.4 | avgCR-9.10 | totCR-455.12 |
| England_25 | Gen1 | 4 |
Charlotte Edwards (England)
|
2004-2016 | M-95 | Ct/St-16 | FPM-0.2 | avgCR-5.92 | totCR-562.34 |
| England_25 | Gen1 | 5 |
Claire Taylor (England)
|
2004-2011 | M-27 | Ct/St-14 | FPM-0.5 | avgCR-10.66 | totCR-287.72 |
| England_25 | Gen1 | 6 |
Arran Brindle (England)
|
2005-2014 | M-35 | Ct/St-13 | FPM-0.4 | avgCR-8.91 | totCR-312.02 |
| England_25 | Gen1 | 7 |
Beth Morgan (England)
|
2005-2011 | M-28 | Ct/St-8 | FPM-0.3 | avgCR-7.44 | totCR-208.41 |
| England_25 | Gen1 | 8 |
Nicky Shaw (England)
|
2004-2010 | M-22 | Ct/St-5 | FPM-0.2 | avgCR-6.69 | totCR-147.22 |
| England_25 | Gen1 | 9 |
Isa Guha (England)
|
2004-2011 | M-22 | Ct/St-4 | FPM-0.2 | avgCR-5.57 | totCR-122.47 |
| England_25 | Gen3 | 1 |
Nat Sciver-Brunt (England)
|
2013-2025 | M-137 | Ct/St-72 | FPM-0.5 | avgCR-11.69 | totCR-1 | 601.59 |
| England_25 | Gen3 | 2 |
Danni Wyatt-Hodge (England)
|
2010-2025 | M-178 | Ct/St-43 | FPM-0.2 | avgCR-6.89 | totCR-1 | 226.68 |
| England_25 | Gen3 | 3 |
Heather Knight (England)
|
2010-2025 | M-132 | Ct/St-36 | FPM-0.3 | avgCR-7.41 | totCR-978.39 |
| England_25 | Gen3 | 4 |
Lauren Winfield-Hill (England)
|
2013-2022 | M-44 | Ct/St-18 | FPM-0.4 | avgCR-9.70 | totCR-426.69 |
| England_25 | Gen3 | 5 |
Tammy Beaumont (England)
|
2009-2025 | M-109 | Ct/St-18 | FPM-0.2 | avgCR-5.95 | totCR-648.13 |
| England_25 | Gen4 | 2 |
Sophie Ecclestone (England)
|
2016-2025 | M-101 | Ct/St-34 | FPM-0.3 | avgCR-8.39 | totCR-847.70 |
| England_25 | Gen4 | 3 |
Sophia Dunkley (England)
|
2018-2025 | M-72 | Ct/St-19 | FPM-0.3 | avgCR-7.23 | totCR-520.90 |
| England_25 | Gen4 | 4 |
Mady Villiers (England)
|
2019-2024 | M-19 | Ct/St-9 | FPM-0.5 | avgCR-10.16 | totCR-193.02 |
| England_25 | Gen4 | 5 |
Sarah Glenn (England)
|
2019-2025 | M-73 | Ct/St-12 | FPM-0.2 | avgCR-5.81 | totCR-424.45 |
| England_25 | Gen5 | 1 |
Maia Bouchier (England)
|
2021-2025 | M-45 | Ct/St-14 | FPM-0.3 | avgCR-8.54 | totCR-384.33 |
| England_25 | Gen5 | 2 |
Alice Capsey (England)
|
2022-2025 | M-45 | Ct/St-14 | FPM-0.3 | avgCR-7.90 | totCR-355.36 |
| England_25 | Gen5 | 3 |
Charlie Dean (England)
|
2022-2025 | M-45 | Ct/St-8 | FPM-0.2 | avgCR-6.16 | totCR-277.09 |
| England_25 | Gen5 | 4 |
Danielle Gibson (England)
|
2023-2024 | M-22 | Ct/St-8 | FPM-0.4 | avgCR-9.32 | totCR-204.99 |
| England_25 | Gen5 | 5 |
Lauren Bell (England)
|
2022-2025 | M-36 | Ct/St-8 | FPM-0.2 | avgCR-6.82 | totCR-245.41 |
| India_25 | Gen1 | 2 |
Gouher Sultana (India)
|
2008-2014 | M-37 | Ct/St-13 | FPM-0.4 | avgCR-8.01 | totCR-296.43 |
| India_25 | Gen1 | 3 |
Amita Sharma (India)
|
2006-2014 | M-41 | Ct/St-8 | FPM-0.2 | avgCR-6.21 | totCR-254.76 |
| India_25 | Gen2 | 2 |
Veda Krishnamurthy (India)
|
2011-2020 | M-76 | Ct/St-38 | FPM-0.5 | avgCR-11.87 | totCR-902.33 |
| India_25 | Gen2 | 4 |
Jhulan Goswami (India)
|
2006-2018 | M-68 | Ct/St-23 | FPM-0.3 | avgCR-8.66 | totCR-589.17 |
| India_25 | Gen3 | 2 |
Harmanpreet Kaur (India)
|
2009-2025 | M-182 | Ct/St-68 | FPM-0.4 | avgCR-8.68 | totCR-1 | 579.89 |
| India_25 | Gen3 | 3 |
Shikha Pandey (India)
|
2014-2023 | M-62 | Ct/St-18 | FPM-0.3 | avgCR-7.49 | totCR-464.59 |
| India_25 | Gen3 | 4 |
Anuja Patil (India)
|
2012-2019 | M-50 | Ct/St-17 | FPM-0.3 | avgCR-8.19 | totCR-409.67 |
| India_25 | Gen3 | 5 |
Priya Punia (India)
|
2019-2019 | M-3 | Ct/St-1 | FPM-0.3 | avgCR-2.64 | totCR-23.77 |
| India_25 | Gen3 | 6 |
Mansi Joshi (India)
|
2016-2019 | M-8 | Ct/St-1 | FPM-0.1 | avgCR-4.75 | totCR-42.75 |
| India_25 | Gen3 | 7 |
Bharti Fulmali (India)
|
2019-2019 | M-2 | Ct/St-0 | FPM-0.0 | avgCR-0.84 | totCR-7.57 |
| India_25 | Gen4 | 1 |
Deepti Sharma (India)
|
2016-2025 | M-129 | Ct/St-39 | FPM-0.3 | avgCR-7.87 | totCR-1 | 015.52 |
| India_25 | Gen4 | 2 |
Smriti Mandhana (India)
|
2013-2025 | M-153 | Ct/St-39 | FPM-0.3 | avgCR-7.02 | totCR-1 | 073.93 |
| India_25 | Gen4 | 3 |
Radha Yadav (India)
|
2018-2025 | M-89 | Ct/St-33 | FPM-0.4 | avgCR-9.12 | totCR-811.35 |
| India_25 | Gen4 | 4 |
Jemimah Rodrigues (India)
|
2018-2025 | M-112 | Ct/St-28 | FPM-0.3 | avgCR-7.16 | totCR-802.16 |
| India_25 | Gen4 | 5 |
Shafali Verma (India)
|
2019-2025 | M-90 | Ct/St-27 | FPM-0.3 | avgCR-7.88 | totCR-709.13 |
| India_25 | Gen5 | 2 |
Sajeevan Sajana (India)
|
2024-2024 | M-14 | Ct/St-6 | FPM-0.4 | avgCR-10.17 | totCR-142.40 |
| India_25 | Gen5 | 4 |
Shreyanka Patil (India)
|
2023-2024 | M-16 | Ct/St-4 | FPM-0.3 | avgCR-7.62 | totCR-121.96 |
| India_25 | Gen5 | 5 |
Amanjot Kaur (India)
|
2023-2025 | M-16 | Ct/St-4 | FPM-0.3 | avgCR-7.43 | totCR-118.89 |
| New Zealand_25 | Gen1 | 1 |
Rebecca Steele (New Zealand)
|
2004-2004 | M-1 | Ct/St-2 | FPM-2.0 | avgCR-4.47 | totCR-40.26 |
| New Zealand_25 | Gen1 | 2 |
Sara McGlashan (New Zealand)
|
2004-2016 | M-76 | Ct/St-29 | FPM-0.4 | avgCR-9.45 | totCR-718.57 |
| New Zealand_25 | Gen1 | 4 |
Nicola Browne (New Zealand)
|
2004-2014 | M-54 | Ct/St-24 | FPM-0.4 | avgCR-10.40 | totCR-561.39 |
| New Zealand_25 | Gen1 | 5 |
Aimee Watkins (New Zealand)
|
2004-2011 | M-36 | Ct/St-14 | FPM-0.4 | avgCR-9.27 | totCR-333.87 |
| New Zealand_25 | Gen1 | 6 |
Haidee Tiffen (New Zealand)
|
2004-2009 | M-9 | Ct/St-6 | FPM-0.7 | avgCR-14.30 | totCR-128.67 |
| New Zealand_25 | Gen1 | 7 |
Liz Perry (New Zealand)
|
2010-2017 | M-31 | Ct/St-12 | FPM-0.4 | avgCR-8.72 | totCR-270.33 |
| New Zealand_25 | Gen1 | 8 |
Sian Ruck (New Zealand)
|
2009-2013 | M-37 | Ct/St-5 | FPM-0.1 | avgCR-5.99 | totCR-221.70 |
| New Zealand_25 | Gen1 | 9 |
Sarah Tsukigawa (New Zealand)
|
2006-2011 | M-19 | Ct/St-2 | FPM-0.1 | avgCR-5.14 | totCR-97.61 |
| New Zealand_25 | Gen2 | 3 |
Amy Satterthwaite (New Zealand)
|
2007-2021 | M-111 | Ct/St-36 | FPM-0.3 | avgCR-8.14 | totCR-903.13 |
| New Zealand_25 | Gen2 | 4 |
Katie Perkins (New Zealand)
|
2012-2020 | M-55 | Ct/St-15 | FPM-0.3 | avgCR-7.41 | totCR-407.41 |
| New Zealand_25 | Gen2 | 5 |
Morna Nielsen (New Zealand)
|
2012-2016 | M-44 | Ct/St-6 | FPM-0.1 | avgCR-5.64 | totCR-247.95 |
| New Zealand_25 | Gen3 | 1 |
Suzie Bates (New Zealand)
|
2007-2025 | M-177 | Ct/St-93 | FPM-0.5 | avgCR-11.94 | totCR-2 | 113.44 |
| New Zealand_25 | Gen3 | 2 |
Sophie Devine (New Zealand)
|
2006-2025 | M-146 | Ct/St-48 | FPM-0.3 | avgCR-8.64 | totCR-1 | 260.98 |
| New Zealand_25 | Gen3 | 3 |
Lea Tahuhu (New Zealand)
|
2011-2025 | M-98 | Ct/St-19 | FPM-0.2 | avgCR-6.67 | totCR-653.42 |
| New Zealand_25 | Gen3 | 4 |
Hayley Jensen (New Zealand)
|
2014-2023 | M-53 | Ct/St-13 | FPM-0.2 | avgCR-7.13 | totCR-377.86 |
| New Zealand_25 | Gen3 | 5 |
Leigh Kasperek (New Zealand)
|
2015-2024 | M-52 | Ct/St-12 | FPM-0.2 | avgCR-6.85 | totCR-356.35 |
| New Zealand_25 | Gen4 | 1 |
Amelia Kerr (New Zealand)
|
2016-2025 | M-88 | Ct/St-47 | FPM-0.5 | avgCR-11.27 | totCR-992.01 |
| New Zealand_25 | Gen4 | 2 |
Maddy Green (New Zealand)
|
2012-2025 | M-112 | Ct/St-43 | FPM-0.4 | avgCR-9.21 | totCR-1 | 031.81 |
| New Zealand_25 | Gen5 | 2 |
Fran Jonas (New Zealand)
|
2022-2024 | M-39 | Ct/St-13 | FPM-0.3 | avgCR-8.45 | totCR-329.65 |
| New Zealand_25 | Gen5 | 3 |
Georgia Plimmer (New Zealand)
|
2022-2025 | M-43 | Ct/St-11 | FPM-0.3 | avgCR-7.18 | totCR-308.85 |
| New Zealand_25 | Gen5 | 4 |
Brooke Halliday (New Zealand)
|
2021-2025 | M-47 | Ct/St-7 | FPM-0.1 | avgCR-5.77 | totCR-271.17 |
| Pakistan_25 | Gen1 | 2 |
Qanita Jalil (Pakistan)
|
2009-2015 | M-51 | Ct/St-8 | FPM-0.2 | avgCR-5.70 | totCR-290.88 |
| Pakistan_25 | Gen1 | 3 |
Urooj Mumtaz (Pakistan)
|
2009-2010 | M-9 | Ct/St-3 | FPM-0.3 | avgCR-9.74 | totCR-87.66 |
| Pakistan_25 | Gen1 | 4 |
Sajjida Shah (Pakistan)
|
2009-2010 | M-8 | Ct/St-3 | FPM-0.4 | avgCR-7.53 | totCR-67.78 |
| Pakistan_25 | Gen2 | 1 |
Sana Mir (Pakistan)
|
2009-2019 | M-106 | Ct/St-26 | FPM-0.2 | avgCR-6.88 | totCR-729.58 |
| Pakistan_25 | Gen2 | 2 |
Nain Abidi (Pakistan)
|
2009-2018 | M-68 | Ct/St-22 | FPM-0.3 | avgCR-8.20 | totCR-557.64 |
| Pakistan_25 | Gen2 | 3 |
Asmavia Iqbal (Pakistan)
|
2009-2016 | M-68 | Ct/St-18 | FPM-0.3 | avgCR-7.20 | totCR-489.33 |
| Pakistan_25 | Gen2 | 5 |
Marina Iqbal (Pakistan)
|
2009-2015 | M-42 | Ct/St-16 | FPM-0.4 | avgCR-8.30 | totCR-348.46 |
| Pakistan_25 | Gen2 | 6 |
Sadia Yousuf (Pakistan)
|
2010-2017 | M-51 | Ct/St-2 | FPM-0.0 | avgCR-4.31 | totCR-219.94 |
| Pakistan_25 | Gen2 | 7 |
Sania Khan (Pakistan)
|
2010-2016 | M-25 | Ct/St-3 | FPM-0.1 | avgCR-5.36 | totCR-134.02 |
| Pakistan_25 | Gen3 | 2 |
Nida Dar (Pakistan)
|
2010-2024 | M-160 | Ct/St-42 | FPM-0.3 | avgCR-6.97 | totCR-1 | 115.45 |
| Pakistan_25 | Gen3 | 3 |
Bismah Maroof (Pakistan)
|
2009-2023 | M-140 | Ct/St-37 | FPM-0.3 | avgCR-7.13 | totCR-998.42 |
| Pakistan_25 | Gen3 | 4 |
Iram Javed (Pakistan)
|
2013-2024 | M-56 | Ct/St-15 | FPM-0.3 | avgCR-6.89 | totCR-385.57 |
| Pakistan_25 | Gen4 | 2 |
Aliya Riaz (Pakistan)
|
2014-2025 | M-102 | Ct/St-33 | FPM-0.3 | avgCR-7.64 | totCR-778.87 |
| Pakistan_25 | Gen4 | 3 |
Sidra Amin (Pakistan)
|
2011-2025 | M-66 | Ct/St-22 | FPM-0.3 | avgCR-7.96 | totCR-525.41 |
| Pakistan_25 | Gen4 | 4 |
Omaima Sohail (Pakistan)
|
2018-2024 | M-55 | Ct/St-15 | FPM-0.3 | avgCR-7.11 | totCR-390.85 |
| Pakistan_25 | Gen5 | 1 |
Sadia Iqbal (Pakistan)
|
2019-2025 | M-50 | Ct/St-10 | FPM-0.2 | avgCR-6.59 | totCR-329.32 |
| Pakistan_25 | Gen5 | 2 |
Gull Feroza (Pakistan)
|
2022-2025 | M-19 | Ct/St-7 | FPM-0.4 | avgCR-9.17 | totCR-174.27 |
| Pakistan_25 | Gen5 | 4 |
Tuba Hassan (Pakistan)
|
2022-2025 | M-37 | Ct/St-8 | FPM-0.2 | avgCR-5.90 | totCR-218.32 |
| Pakistan_25 | Gen5 | 5 |
Sadaf Shamas (Pakistan)
|
2023-2024 | M-12 | Ct/St-3 | FPM-0.3 | avgCR-7.94 | totCR-95.23 |
| Pakistan_25 | Gen5 | 6 |
Fatima Sana (Pakistan)
|
2019-2025 | M-49 | Ct/St-19 | FPM-0.4 | avgCR-9.19 | totCR-450.34 |
| South Africa_25 | Gen1 | 1 |
Alicia Smith (South Africa)
|
2007-2010 | M-14 | Ct/St-8 | FPM-0.6 | avgCR-11.93 | totCR-167.04 |
| South Africa_25 | Gen1 | 2 |
Shandre Fritz (South Africa)
|
2008-2014 | M-26 | Ct/St-10 | FPM-0.4 | avgCR-9.35 | totCR-243.15 |
| South Africa_25 | Gen1 | 3 |
Sunette Loubser (South Africa)
|
2007-2014 | M-43 | Ct/St-10 | FPM-0.2 | avgCR-6.55 | totCR-281.46 |
| South Africa_25 | Gen1 | 4 |
Susan Benade (South Africa)
|
2007-2013 | M-19 | Ct/St-5 | FPM-0.3 | avgCR-6.99 | totCR-132.80 |
| South Africa_25 | Gen2 | 2 |
Shabnim Ismail (South Africa)
|
2007-2023 | M-113 | Ct/St-36 | FPM-0.3 | avgCR-8.29 | totCR-936.65 |
| South Africa_25 | Gen2 | 3 |
Mignon du Preez (South Africa)
|
2007-2022 | M-114 | Ct/St-26 | FPM-0.2 | avgCR-6.56 | totCR-747.39 |
| South Africa_25 | Gen2 | 4 |
Dane van Niekerk (South Africa)
|
2009-2021 | M-86 | Ct/St-25 | FPM-0.3 | avgCR-7.64 | totCR-657.31 |
| South Africa_25 | Gen2 | 5 |
Marcia Letsoalo (South Africa)
|
2007-2016 | M-48 | Ct/St-11 | FPM-0.2 | avgCR-6.34 | totCR-304.45 |
| South Africa_25 | Gen3 | 1 |
Sune Luus (South Africa)
|
2012-2025 | M-129 | Ct/St-43 | FPM-0.3 | avgCR-8.19 | totCR-1 | 056.69 |
| South Africa_25 | Gen3 | 2 |
Chloe Tryon (South Africa)
|
2010-2025 | M-113 | Ct/St-28 | FPM-0.2 | avgCR-7.17 | totCR-809.75 |
| South Africa_25 | Gen3 | 3 |
Lizelle Lee (South Africa)
|
2013-2021 | M-82 | Ct/St-30 | FPM-0.4 | avgCR-8.07 | totCR-661.57 |
| South Africa_25 | Gen3 | 4 |
Marizanne Kapp (South Africa)
|
2009-2025 | M-116 | Ct/St-19 | FPM-0.2 | avgCR-6.03 | totCR-699.89 |
| South Africa_25 | Gen3 | 5 |
Masabata Klaas (South Africa)
|
2010-2025 | M-67 | Ct/St-12 | FPM-0.2 | avgCR-5.58 | totCR-374.10 |
| South Africa_25 | Gen4 | 1 |
Tazmin Brits (South Africa)
|
2018-2025 | M-68 | Ct/St-24 | FPM-0.4 | avgCR-8.64 | totCR-587.33 |
| South Africa_25 | Gen4 | 2 |
Tumi Sekhukhune (South Africa)
|
2018-2025 | M-39 | Ct/St-16 | FPM-0.4 | avgCR-8.66 | totCR-337.66 |
| South Africa_25 | Gen4 | 3 |
Laura Wolvaardt (South Africa)
|
2016-2025 | M-83 | Ct/St-17 | FPM-0.2 | avgCR-6.28 | totCR-521.51 |
| South Africa_25 | Gen4 | 4 |
Nadine de Klerk (South Africa)
|
2018-2025 | M-68 | Ct/St-14 | FPM-0.2 | avgCR-6.05 | totCR-411.71 |
| South Africa_25 | Gen4 | 5 |
Lara Goodall (South Africa)
|
2016-2023 | M-21 | Ct/St-4 | FPM-0.2 | avgCR-5.44 | totCR-114.29 |
| South Africa_25 | Gen5 | 2 |
Annerie Dercksen (South Africa)
|
2023-2025 | M-24 | Ct/St-5 | FPM-0.2 | avgCR-6.76 | totCR-162.30 |
The GOATs- best teams and players from various generations. The players are ranked within the generation they played. Presenting the rankings for 5 generations starting from oldest to newest. Updated - 2nd Nov 2025.