- Sport
- Volleyball
- Career
- 2004–2023
- Country
- 🇧🇷 Brazil
- Peak
- 92.0
- Dominance
- 86.0
- Statistics
- 86.0
- Honours
- 92.0
- Longevity
- 86.0
GOAT Rank · 46
This ranking is led by Thaísa Menezes, Fabiana Claudino and Simona Gioli. GOAT Rank currently ranks 46 eligible Volleyball middle blockers using verified career records across dominance, peak, longevity, honours and statistics.
Quick answer
According to GOAT Rank's current model, Thaísa Menezes ranks #1 on this list with a GOAT Score of 88.4.
How the GOAT Score is calculated →| # | Athlete | Sport | Country | Career | GOAT Score |
|---|---|---|---|---|---|
| 21 | Thaísa Menezes | Volleyball | 🇧🇷 Brazil | 2004–2023 | 88.4 |
| 23 | Fabiana Claudino | Volleyball | 🇧🇷 Brazil | 2002–2021 | 88.3 |
| 26 | Simona Gioli | Volleyball | 🇮🇹 Italy | 1996–2016 | 88.2 |
| 28 | Magaly Carvajal | Volleyball | 🇨🇺 Cuba | 1986–2000 | 88.0 |
| 36 | Rodrigão | Volleyball | 🇧🇷 Brazil | 1998–2016 | 87.8 |
| 38 | Anna Danesi | Volleyball | 🇮🇹 Italy | 2014–active | 87.7 |
| 52 | Barthélémy Chinenyeze | Volleyball | 🇫🇷 France | 2015–active | 86.5 |
| 53 | Éder Carbonera | Volleyball | 🇧🇷 Brazil | 2003–2020 | 86.5 |
| 64 | Mateusz Bieniek | Volleyball | 🇵🇱 Poland | 2013–active | 86.2 |
| 68 | Andrea Gardini | Volleyball | 🇮🇹 Italy | 1988–2004 | 86.0 |
| 77 | Andrea Lucchetta | Volleyball | 🇮🇹 Italy | 1983–1998 | 85.6 |
| 79 | Maja Aleksić | Volleyball | 🇷🇸 Serbia | 2011–active | 85.4 |
| 80 | Vladimir Batez | Volleyball | 🇷🇸 Serbia | 1990–2007 | 85.3 |
| 84 | Nikolay Apalikov | Volleyball | 🇷🇺 Russia | 2000–2018 | 85.2 |
| 90 | Dmitriy Muserskiy | Volleyball | 🇷🇺 Russia | 2008–active | 85.1 |
| 95 | Stanislav Dineykin | Volleyball | 🇷🇺 Russia | 1990–2008 | 84.9 |
| 109 | Yutaka Demachi | Volleyball | 🇯🇵 Japan | 1968–1976 | 84.3 |
| 116 | Lyudmila Borozna | Volleyball | 🇺🇦 Ukraine | 1968–1976 | 83.9 |
| 117 | Vladimir Dorokhov | Volleyball | 🇷🇺 Russia | 1976–1984 | 83.9 |
| 119 | Andrey Egorchev | Volleyball | 🇷🇺 Russia | 1996–2008 | 83.7 |
| 121 | Cui Yongmei | Volleyball | 🇨🇳 China | 1995–2008 | 83.6 |
| 128 | Robertlandy Simón | Volleyball | 🇨🇺 Cuba | 2005–active | 83.5 |
| 129 | Danielle Scott-Arruda | Volleyball | 🇺🇸 United States | 1993–2012 | 83.4 |
| 133 | Erika Araki | Volleyball | 🇯🇵 Japan | 2002–2021 | 83.1 |
| 134 | Slobodan Kovač | Volleyball | 🇷🇸 Serbia | 1988–2005 | 83.1 |
| 136 | Eda Erdem | Volleyball | 🇹🇷 Turkey | 2004–active | 83.1 |
| 139 | Yefim Chulak | Volleyball | 🇺🇦 Ukraine | 1960–1968 | 83.0 |
| 150 | Marius Căta-Chițiga | Volleyball | 🇷🇴 Romania | 1976–1988 | 82.5 |
| 155 | Milena Rašić | Volleyball | 🇷🇸 Serbia | 2005–2021 | 82.3 |
| 160 | Regla Torres | Volleyball | 🇨🇺 Cuba | 1990–2001 | 82.1 |
| 165 | Emanuele Birarelli | Volleyball | 🇮🇹 Italy | 2000–2019 | 81.9 |
| 169 | Nancy Carrillo | Volleyball | 🇨🇺 Cuba | 2004–2018 | 81.9 |
| 193 | Adenízia Silva | Volleyball | 🇧🇷 Brazil | 2006–active | 80.7 |
| 195 | Keba Phipps | Volleyball | 🇺🇸 United States | 1988–2000 | 80.4 |
| 203 | David Lee | Volleyball | 🇺🇸 United States | 2006–2018 | 79.9 |
| 204 | Gabriela Pérez del Solar | Volleyball | 🇵🇪 Peru | 1982–1996 | 79.9 |
| 208 | Érika Coimbra | Volleyball | 🇧🇷 Brazil | 1995–2012 | 79.8 |
| 218 | Tom Hoff | Volleyball | 🇺🇸 United States | 1996–2009 | 79.1 |
| 221 | Simone Buti | Volleyball | 🇮🇹 Italy | 2004–active | 79.0 |
| 222 | Max Holt | Volleyball | 🇺🇸 United States | 2009–2021 | 79.0 |
| 225 | Haleigh Washington | Volleyball | 🇺🇸 United States | 2017–active | 78.7 |
| 231 | Foluke Akinradewo | Volleyball | 🇺🇸 United States | 2005–2021 | 77.9 |
| 235 | Yang Fangxu | Volleyball | 🇨🇳 China | 2003–2016 | 77.3 |
| 238 | Andrea Sartoretti | Volleyball | 🇮🇹 Italy | 1990–2008 | 76.8 |
| 243 | Ericléia Bodziak | Volleyball | 🇧🇷 Brazil | 1992–2006 | 75.8 |
| 248 | Katharina Bullin | Volleyball | 🇩🇪 Germany | 1974–1982 | 73.9 |
Sport lists use the raw In-Sport GOAT Score. Cross-sport lists use the official competition-depth adjustment. No scores are recalculated for this page.
Read the full methodologyFive verified components are weighted consistently: dominance, peak, longevity, honours and statistics.
According to GOAT Rank's current data model, only verified athletes with sufficient career history, metrics, honours and independent sources are eligible. Rank and score are read live.