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. For the last update date and full update schedule, refer to FAQs.
Gen1
Gen2
Gen3
Gen4
Gen5
| Group | Sub-Group | SG_rank | Team (or Player) | Stats |
|---|---|---|---|---|
| World_100 | Gen1 | 1 |
Batool Fatima (Pakistan)
|
2009-2014 | M-45 | Ct/St-50 | FPM-1.1 | avgCR-19.94 | CI*- na 20 na na 25 16 na na |
| World_100 | Gen1 | 2 |
Jodie Fields (Australia)
|
2006-2013 | M-37 | Ct/St-40 | FPM-1.1 | avgCR-19.17 | CI*- 21 18 na na 22 17 na na |
| World_100 | Gen1 | 3 |
Sulakshana Naik (India)
|
2006-2012 | M-31 | Ct/St-31 | FPM-1.0 | avgCR-19.26 | CI*- 22 18 na na 19 19 na na |
| World_100 | Gen1 | 4 |
Lydia Greenway (England)
|
2004-2016 | M-85 | Ct/St-54 | FPM-0.6 | avgCR-13.15 | CI*- 13 13 na na 13 14 na na |
| World_100 | Gen1 | 5 |
Jenny Gunn (England)
|
2004-2018 | M-104 | Ct/St-58 | FPM-0.6 | avgCR-11.60 | CI*- 8 14 na na 13 10 na na |
| World_100 | Gen1 | 6 |
Jess Duffin (Australia)
|
2009-2015 | M-64 | Ct/St-34 | FPM-0.5 | avgCR-12.32 | CI*- 10 13 na na 14 11 na na |
| World_100 | Gen1 | 7 |
Sara McGlashan (New Zealand)
|
2004-2016 | M-76 | Ct/St-29 | FPM-0.4 | avgCR-9.43 | CI*- 9 9 na na 10 9 na na |
| World_100 | Gen1 | 8 |
Nicola Browne (New Zealand)
|
2004-2014 | M-54 | Ct/St-24 | FPM-0.4 | avgCR-10.38 | CI*- 8 11 na na 10 10 na na |
| World_100 | Gen1 | 9 |
Haidee Tiffen (New Zealand)
|
2004-2009 | M-9 | Ct/St-6 | FPM-0.7 | avgCR-14.25 | CI*- 4 16 na na 16 13 na na |
| World_100 | Gen1 | 10 |
Holly Colvin (England)
|
2007-2013 | M-50 | Ct/St-19 | FPM-0.4 | avgCR-9.13 | CI*- 7 13 na na 8 10 na na |
| World_100 | Gen1 | 11 |
Alicia Smith (South Africa)
|
2007-2010 | M-14 | Ct/St-8 | FPM-0.6 | avgCR-11.92 | CI*- 11 12 na na 14 4 na na |
| World_100 | Gen1 | 12 |
Claire Taylor (England)
|
2004-2011 | M-27 | Ct/St-14 | FPM-0.5 | avgCR-10.56 | CI*- 10 12 na na 12 9 na na |
| World_100 | Gen1 | 13 |
Alex Blackwell (Australia)
|
2005-2017 | M-95 | Ct/St-33 | FPM-0.3 | avgCR-8.60 | CI*- 8 9 na na 8 9 na na |
| World_100 | Gen1 | 14 |
Aimee Watkins (New Zealand)
|
2004-2011 | M-36 | Ct/St-14 | FPM-0.4 | avgCR-9.26 | CI*- 7 10 na na 13 8 na na |
| World_100 | Gen1 | 15 |
Arran Brindle (England)
|
2005-2014 | M-35 | Ct/St-13 | FPM-0.4 | avgCR-8.85 | CI*- 10 7 na na 10 8 na na |
| World_100 | Gen1 | 16 |
Lisa Sthalekar (Australia)
|
2005-2013 | M-54 | Ct/St-16 | FPM-0.3 | avgCR-7.63 | CI*- 7 8 na na 8 8 na na |
| World_100 | Gen1 | 17 |
Charlotte Edwards (England)
|
2004-2016 | M-95 | Ct/St-16 | FPM-0.2 | avgCR-5.91 | CI*- 6 6 na na 6 5 na na |
| World_100 | Gen1 | 18 |
Shandre Fritz (South Africa)
|
2008-2014 | M-26 | Ct/St-10 | FPM-0.4 | avgCR-9.30 | CI*- 7 10 na na 13 5 na na |
| World_100 | Gen1 | 19 |
Liz Perry (New Zealand)
|
2010-2017 | M-31 | Ct/St-12 | FPM-0.4 | avgCR-8.69 | CI*- 11 8 na na 11 7 na na |
| World_100 | Gen1 | 20 |
Juliana Nero (West Indies)
|
2008-2013 | M-45 | Ct/St-14 | FPM-0.3 | avgCR-7.48 | CI*- 7 8 na na 10 5 na na |
| World_100 | Gen1 | 21 |
Shanel Daley (West Indies)
|
2009-2014 | M-68 | Ct/St-15 | FPM-0.2 | avgCR-6.37 | CI*- 6 7 na na 7 5 na na |
| World_100 | Gen2 | 1 |
Rachel Priest (New Zealand)
|
2007-2020 | M-75 | Ct/St-72 | FPM-1.0 | avgCR-17.72 | CI*- 17 18 na na 20 16 na na |
| World_100 | Gen2 | 2 |
Trisha Chetty (South Africa)
|
2007-2022 | M-82 | Ct/St-70 | FPM-0.9 | avgCR-15.43 | CI*- 15 16 na na 16 15 na na |
| World_100 | Gen2 | 3 |
Sarah Taylor (England)
|
2006-2019 | M-90 | Ct/St-74 | FPM-0.8 | avgCR-14.76 | CI*- 15 15 na na 15 14 na na |
| World_100 | Gen2 | 4 |
Merissa Aguilleira (West Indies)
|
2009-2019 | M-95 | Ct/St-72 | FPM-0.8 | avgCR-13.60 | CI*- 15 13 na na 13 15 na na |
| World_100 | Gen2 | 5 |
Katey Martin (New Zealand)
|
2008-2022 | M-95 | Ct/St-57 | FPM-0.6 | avgCR-12.70 | CI*- 14 12 na na 13 13 na na |
| World_100 | Gen2 | 6 |
Veda Krishnamurthy (India)
|
2011-2020 | M-76 | Ct/St-38 | FPM-0.5 | avgCR-11.85 | CI*- 8 14 na na 14 10 na na |
| World_100 | Gen2 | 7 |
Kycia Knight (West Indies/Barbados)
|
2011-2022 | M-70 | Ct/St-34 | FPM-0.5 | avgCR-9.62 | CI*- 9 10 na na 9 11 na na |
| World_100 | Gen2 | 8 |
Katherine Sciver-Brunt (England)
|
2005-2023 | M-112 | Ct/St-35 | FPM-0.3 | avgCR-8.37 | CI*- 7 10 na na 8 9 na na |
| World_100 | Gen2 | 9 |
Shabnim Ismail (South Africa)
|
2007-2023 | M-113 | Ct/St-36 | FPM-0.3 | avgCR-8.28 | CI*- 6 10 na na 9 8 na na |
| World_100 | Gen2 | 10 |
Deandra Dottin (West Indies/Barbados)
|
2008-2025 | M-138 | Ct/St-39 | FPM-0.3 | avgCR-7.62 | CI*- 7 8 na na 8 8 na na |
| World_100 | Gen2 | 11 |
Amy Satterthwaite (New Zealand)
|
2007-2021 | M-111 | Ct/St-36 | FPM-0.3 | avgCR-8.13 | CI*- 12 7 na na 8 9 na na |
| World_100 | Gen2 | 12 |
Stafanie Taylor (West Indies)
|
2008-2025 | M-126 | Ct/St-36 | FPM-0.3 | avgCR-7.34 | CI*- 7 8 na na 7 8 na na |
| World_100 | Gen3 | 1 |
Taniya Bhatia (India)
|
2018-2022 | M-53 | Ct/St-68 | FPM-1.3 | avgCR-22.67 | CI*- 20 23 na na 19 26 na na |
| World_100 | Gen3 | 2 |
Alyssa Healy (Australia)
|
2010-2024 | M-162 | Ct/St-128 | FPM-0.8 | avgCR-14.73 | CI*- 16 14 na na 15 15 na na |
| World_100 | Gen3 | 3 |
Suzie Bates (New Zealand)
|
2007-2025 | M-177 | Ct/St-93 | FPM-0.5 | avgCR-11.91 | CI*- 9 13 na na 11 13 na na |
| World_100 | Gen3 | 4 |
Nat Sciver-Brunt (England)
|
2013-2025 | M-137 | Ct/St-72 | FPM-0.5 | avgCR-11.65 | CI*- 12 12 na na 13 11 na na |
| World_100 | Gen3 | 5 |
Sidra Nawaz (Pakistan)
|
2014-2023 | M-56 | Ct/St-45 | FPM-0.8 | avgCR-14.11 | CI*- 23 13 na na 13 16 na na |
| World_100 | Gen3 | 6 |
Mary Waldron (Ireland)
|
2010-2023 | M-88 | Ct/St-62 | FPM-0.7 | avgCR-12.32 | CI*- 9 13 na na 14 10 na na |
| World_100 | Gen3 | 7 |
Harmanpreet Kaur (India)
|
2009-2025 | M-187 | Ct/St-70 | FPM-0.4 | avgCR-8.62 | CI*- 8 9 na na 9 8 na na |
| World_100 | Gen3 | 8 |
Shemaine Campbelle (West Indies)
|
2009-2025 | M-147 | Ct/St-64 | FPM-0.4 | avgCR-9.73 | CI*- 8 11 na na 11 8 na na |
| World_100 | Gen3 | 9 |
Sophie Devine (New Zealand)
|
2006-2025 | M-146 | Ct/St-48 | FPM-0.3 | avgCR-8.59 | CI*- 8 9 na na 7 10 na na |
| World_100 | Gen3 | 10 |
Sune Luus (South Africa)
|
2012-2025 | M-131 | Ct/St-44 | FPM-0.3 | avgCR-8.21 | CI*- 7 9 na na 8 8 na na |
| World_100 | Gen3 | 11 |
Chamari Athapaththu (Sri Lanka)
|
2009-2025 | M-151 | Ct/St-42 | FPM-0.3 | avgCR-7.40 | CI*- 9 7 na na 11 5 na na |
| World_100 | Gen3 | 12 |
Danni Wyatt-Hodge (England)
|
2010-2025 | M-178 | Ct/St-43 | FPM-0.2 | avgCR-6.87 | CI*- 7 7 na na 6 7 na na |
| World_100 | Gen3 | 13 |
Lauren Winfield-Hill (England)
|
2013-2022 | M-44 | Ct/St-18 | FPM-0.4 | avgCR-9.68 | CI*- 4 12 na na 9 10 na na |
| World_100 | Gen3 | 14 |
Ellyse Perry (Australia)
|
2008-2025 | M-168 | Ct/St-47 | FPM-0.3 | avgCR-7.71 | CI*- 7 8 na na 8 7 na na |
| World_100 | Gen3 | 15 |
Meg Lanning (Australia)
|
2010-2023 | M-132 | Ct/St-45 | FPM-0.3 | avgCR-8.45 | CI*- 10 8 na na 7 10 na na |
| World_100 | Gen3 | 16 |
Nida Dar (Pakistan)
|
2010-2024 | M-160 | Ct/St-42 | FPM-0.3 | avgCR-6.94 | CI*- 6 7 na na 7 7 na na |
| World_100 | Gen3 | 17 |
Heather Knight (England)
|
2010-2025 | M-132 | Ct/St-36 | FPM-0.3 | avgCR-7.40 | CI*- 5 8 na na 9 6 na na |
| World_100 | Gen3 | 18 |
Lata Mondal (Bangladesh)
|
2012-2025 | M-53 | Ct/St-27 | FPM-0.5 | avgCR-10.59 | CI*- 9 11 na na 12 9 na na |
| World_100 | Gen3 | 19 |
Jess Jonassen (Australia)
|
2012-2023 | M-105 | Ct/St-29 | FPM-0.3 | avgCR-7.52 | CI*- 7 8 na na 7 8 na na |
| World_100 | Gen3 | 20 |
Chloe Tryon (South Africa)
|
2010-2025 | M-115 | Ct/St-29 | FPM-0.3 | avgCR-7.15 | CI*- 6 8 na na 8 7 na na |
| World_100 | Gen3 | 21 |
Rachael Haynes (Australia)
|
2010-2022 | M-84 | Ct/St-29 | FPM-0.3 | avgCR-8.65 | CI*- 9 9 na na 8 9 na na |
| World_100 | Gen3 | 22 |
Bismah Maroof (Pakistan)
|
2009-2023 | M-140 | Ct/St-37 | FPM-0.3 | avgCR-7.10 | CI*- 6 7 na na 8 6 na na |
| World_100 | Gen3 | 23 |
Shikha Pandey (India)
|
2014-2023 | M-62 | Ct/St-18 | FPM-0.3 | avgCR-7.47 | CI*- 5 8 na na 8 8 na na |
| World_100 | Gen3 | 24 |
Lea Tahuhu (New Zealand)
|
2011-2025 | M-98 | Ct/St-19 | FPM-0.2 | avgCR-6.66 | CI*- 6 7 na na 8 6 na na |
| World_100 | Gen3 | 25 |
Udeshika Prabodhani (Sri Lanka)
|
2009-2024 | M-106 | Ct/St-23 | FPM-0.2 | avgCR-6.45 | CI*- 7 6 na na 6 7 na na |
| World_100 | Gen3 | 26 |
Marizanne Kapp (South Africa)
|
2009-2025 | M-118 | Ct/St-19 | FPM-0.2 | avgCR-5.97 | CI*- 5 7 na na 8 4 na na |
| World_100 | Gen3 | 27 |
Fargana Hoque (Bangladesh)
|
2012-2023 | M-84 | Ct/St-21 | FPM-0.3 | avgCR-6.45 | CI*- 5 7 na na 7 5 na na |
| World_100 | Gen4 | 1 |
Amy Jones (England)
|
2013-2025 | M-125 | Ct/St-98 | FPM-0.8 | avgCR-14.63 | CI*- 13 16 na na 15 15 na na |
| World_100 | Gen4 | 2 |
Anushka Sanjeewani (Sri Lanka)
|
2014-2025 | M-86 | Ct/St-62 | FPM-0.7 | avgCR-13.35 | CI*- 10 14 na na 16 11 na na |
| World_100 | Gen4 | 3 |
Sarah Bryce (Scotland)
|
2018-2026 | M-74 | Ct/St-77 | FPM-1.0 | avgCR-13.93 | CI*- na 14 na na 17 11 na na |
| World_100 | Gen4 | 4 |
Nigar Sultana (Bangladesh)
|
2015-2026 | M-115 | Ct/St-71 | FPM-0.6 | avgCR-11.67 | CI*- 9 12 na na 14 9 na na |
| World_100 | Gen4 | 5 |
Amelia Kerr (New Zealand)
|
2016-2025 | M-88 | Ct/St-47 | FPM-0.5 | avgCR-11.21 | CI*- 11 11 na na 14 9 na na |
| World_100 | Gen4 | 6 |
Beth Mooney (Australia)
|
2016-2025 | M-112 | Ct/St-50 | FPM-0.4 | avgCR-10.29 | CI*- 11 10 na na 11 10 na na |
| World_100 | Gen4 | 7 |
Chinelle Henry (West Indies)
|
2013-2025 | M-65 | Ct/St-36 | FPM-0.6 | avgCR-11.85 | CI*- 13 11 na na 14 9 na na |
| World_100 | Gen4 | 8 |
Nilakshika Silva (Sri Lanka)
|
2013-2025 | M-108 | Ct/St-47 | FPM-0.4 | avgCR-9.41 | CI*- 9 10 na na 10 9 na na |
| World_100 | Gen4 | 9 |
Muneeba Ali (Pakistan)
|
2016-2025 | M-80 | Ct/St-40 | FPM-0.5 | avgCR-10.32 | CI*- 8 11 na na 10 11 na na |
| World_100 | Gen4 | 10 |
Maddy Green (New Zealand)
|
2012-2025 | M-112 | Ct/St-43 | FPM-0.4 | avgCR-9.17 | CI*- 8 10 na na 9 10 na na |
| World_100 | Gen4 | 11 |
Georgia Wareham (Australia)
|
2018-2025 | M-69 | Ct/St-30 | FPM-0.4 | avgCR-10.43 | CI*- 7 13 na na 11 11 na na |
| World_100 | Gen4 | 12 |
Deepti Sharma (India)
|
2016-2025 | M-133 | Ct/St-41 | FPM-0.3 | avgCR-7.89 | CI*- 7 8 na na 8 8 na na |
| World_100 | Gen4 | 13 |
Radha Yadav (India)
|
2018-2025 | M-89 | Ct/St-33 | FPM-0.4 | avgCR-9.08 | CI*- 10 9 na na 9 9 na na |
| World_100 | Gen4 | 14 |
Hayley Matthews (West Indies/Barbados)
|
2014-2025 | M-112 | Ct/St-39 | FPM-0.3 | avgCR-8.45 | CI*- 9 8 na na 10 7 na na |
| World_100 | Gen4 | 15 |
Gaby Lewis (Ireland)
|
2014-2026 | M-113 | Ct/St-46 | FPM-0.4 | avgCR-8.27 | CI*- 11 7 na na 9 8 na na |
| World_100 | Gen4 | 16 |
Smriti Mandhana (India)
|
2013-2025 | M-157 | Ct/St-41 | FPM-0.3 | avgCR-7.02 | CI*- 7 7 na na 8 6 na na |
| World_100 | Gen5 | 1 |
Isabella Gaze (New Zealand)
|
2022-2024 | M-32 | Ct/St-24 | FPM-0.8 | avgCR-14.00 | CI*- 25 11 na na 15 14 na na |
| World_100 | Gen5 | 2 |
Richa Ghosh (India)
|
2020-2025 | M-72 | Ct/St-65 | FPM-0.9 | avgCR-16.82 | CI*- 11 20 na na 19 15 na na |
| World_100 | Gen5 | 3 |
Theertha Satish (U.A.E.)
|
2021-2025 | M-97 | Ct/St-81 | FPM-0.8 | avgCR-7.65 | CI*- 6 8 na na 9 6 na na |
| World_100 | Gen5 | 4 |
Dilara Akter (Bangladesh)
|
2022-2026 | M-29 | Ct/St-17 | FPM-0.6 | avgCR-11.67 | CI*- 5 15 na na 6 16 na na |
| World_100 | Gen5 | 5 |
Amy Hunter (Ireland)
|
2021-2026 | M-60 | Ct/St-37 | FPM-0.6 | avgCR-8.94 | CI*- 13 8 na na 9 9 na na |
| World_100 | Gen5 | 6 |
Arlene Kelly (Ireland)
|
2022-2026 | M-62 | Ct/St-28 | FPM-0.5 | avgCR-8.57 | CI*- 8 9 na na 10 7 na na |
| World_100 | Gen5 | 7 |
Maia Bouchier (England)
|
2021-2025 | M-45 | Ct/St-14 | FPM-0.3 | avgCR-8.54 | CI*- 8 9 na na 9 8 na na |
| World_100 | Gen5 | 8 |
Fran Jonas (New Zealand)
|
2022-2024 | M-39 | Ct/St-13 | FPM-0.3 | avgCR-8.34 | CI*- 8 8 na na 8 9 na na |
| World_100 | Gen5 | 9 |
Sinalo Jafta (South Africa)
|
2019-2025 | M-57 | Ct/St-36 | FPM-0.6 | avgCR-12.64 | CI*- 12 13 na na 14 11 na na |
| World_100 | Gen5 | 10 |
Alice Capsey (England)
|
2022-2025 | M-45 | Ct/St-14 | FPM-0.3 | avgCR-7.90 | CI*- 7 9 na na 8 8 na na |
| World_100 | Gen5 | 11 |
Danielle Gibson (England)
|
2023-2024 | M-22 | Ct/St-8 | FPM-0.4 | avgCR-9.30 | CI*- 7 11 na na 16 6 na na |
| World_100 | Gen5 | 12 |
Annabel Sutherland (Australia)
|
2020-2025 | M-45 | Ct/St-26 | FPM-0.6 | avgCR-12.70 | CI*- 10 15 na na 11 14 na na |
| World_100 | Gen5 | 13 |
Darcey Carter (Scotland)
|
2023-2026 | M-37 | Ct/St-19 | FPM-0.5 | avgCR-7.99 | CI*- na 8 na na 7 9 na na |
| World_100 | Gen5 | 14 |
Shorna Akter (Bangladesh)
|
2023-2026 | M-41 | Ct/St-13 | FPM-0.3 | avgCR-7.58 | CI*- 7 8 na na 9 7 na na |
| World_100 | Gen5 | 15 |
Gull Feroza (Pakistan)
|
2022-2025 | M-19 | Ct/St-7 | FPM-0.4 | avgCR-9.12 | CI*- 5 13 na na 11 7 na na |
| World_100 | Gen5 | 16 |
Georgia Plimmer (New Zealand)
|
2022-2025 | M-43 | Ct/St-11 | FPM-0.3 | avgCR-7.14 | CI*- 4 9 na na 9 6 na na |
| World_100 | Gen5 | 17 |
Amanjot Kaur (India)
|
2023-2025 | M-21 | Ct/St-7 | FPM-0.3 | avgCR-8.72 | CI*- 14 5 na na 14 5 na na |
| World_100 | Gen5 | 18 |
Jane Maguire (Ireland)
|
2022-2026 | M-38 | Ct/St-12 | FPM-0.3 | avgCR-7.22 | CI*- 7 7 na na 9 6 na na |
| World_100 | Gen5 | 19 |
Ailsa Lister (Scotland)
|
2021-2026 | M-53 | Ct/St-17 | FPM-0.3 | avgCR-6.37 | CI*- na 6 na na 8 5 na na |
| World_100 | Gen5 | 20 |
Rabeya Khan (Bangladesh)
|
2019-2026 | M-43 | Ct/St-11 | FPM-0.3 | avgCR-6.64 | CI*- 6 7 na na 6 7 na na |
| World_100 | Gen5 | 21 |
Babette de Leede (Netherlands)
|
2018-2026 | M-92 | Ct/St-86 | FPM-0.9 | avgCR-9.03 | CI*- 6 12 na na 10 8 na na |
| World_100 | Gen5 | 22 |
Sobhana Mostary (Bangladesh)
|
2019-2026 | M-53 | Ct/St-12 | FPM-0.2 | avgCR-6.01 | CI*- 9 5 na na 9 4 na na |
| World_100 | Gen5 | 23 |
Lauren Bell (England)
|
2022-2025 | M-36 | Ct/St-8 | FPM-0.2 | avgCR-6.82 | CI*- 6 8 na na 7 7 na na |
| World_100 | Gen5 | 24 |
Charlie Dean (England)
|
2022-2025 | M-45 | Ct/St-8 | FPM-0.2 | avgCR-6.15 | CI*- 6 6 na na 5 7 na na |