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 | All | 1 |
|
2005-2025 | M-200 | Wins-139 | WPM-70% | avgCR-46.82 | CI*- 41 51 na na 60 |
| World_100 | All | 2 |
|
2004-2025 | M-220 | Wins-157 | WPM-71% | avgCR-44.62 | CI*- 43 46 na na 53 |
| World_100 | All | 3 |
|
2006-2025 | M-209 | Wins-116 | WPM-56% | avgCR-36.97 | CI*- 29 41 na na 42 |
| World_100 | All | 4 |
|
2004-2025 | M-188 | Wins-100 | WPM-53% | avgCR-37.64 | CI*- 35 39 na na 51 |
| World_100 | All | 5 |
|
2008-2025 | M-190 | Wins-96 | WPM-51% | avgCR-33.81 | CI*- 33 35 na na 44 |
| World_100 | All | 6 |
|
2007-2025 | M-175 | Wins-77 | WPM-44% | avgCR-30.98 | CI*- 30 32 na na 39 |
| World_100 | All | 7 |
|
2009-2025 | M-181 | Wins-71 | WPM-39% | avgCR-27.56 | CI*- 31 27 na na 26 |
| World_100 | All | 8 |
|
2009-2025 | M-168 | Wins-59 | WPM-35% | avgCR-25.13 | CI*- 22 27 na na 28 |
| World_100 | All | 9 |
|
2008-2026 | M-148 | Wins-70 | WPM-47% | avgCR-23.74 | CI*- 20 25 na na 15 |
| World_100 | All | 10 |
|
2012-2026 | M-138 | Wins-52 | WPM-38% | avgCR-23.94 | CI*- 16 27 na na 25 |
| World_100 | All | 11 |
|
2018-2026 | M-79 | Wins-47 | WPM-59% | avgCR-23.82 | CI*- na 24 na na 13 |
| World_100 | All | 12 |
|
2018-2026 | M-129 | Wins-85 | WPM-66% | avgCR-16.04 | CI*- 11 18 na na 12 |
| World_100 | All | 13 |
|
2008-2026 | M-105 | Wins-51 | WPM-49% | avgCR-13.86 | CI*- 9 18 na na na |
| World_100 | All | 14 |
|
2019-2026 | M-86 | Wins-55 | WPM-64% | avgCR-12.36 | CI*- 8 13 na na 21 |
| World_100 | All | 15 |
|
2018-2025 | M-114 | Wins-72 | WPM-63% | avgCR-10.98 | CI*- 8 12 na na 19 |
| World_100 | All | 16 |
|
2018-2026 | M-76 | Wins-50 | WPM-66% | avgCR-11.41 | CI*- 4 12 na na 42 |
| World_100 | All | 17 |
|
2021-2025 | M-49 | Wins-35 | WPM-71% | avgCR-10.29 | CI*- 3 13 na na na |
| World_100 | All | 18 |
|
2019-2026 | M-84 | Wins-48 | WPM-57% | avgCR-8.84 | CI*- 5 10 na na 1 |
| World_100 | All | 19 |
|
2019-2025 | M-77 | Wins-51 | WPM-66% | avgCR-8.58 | CI*- 2 9 na na 5 |
| World_100 | All | 20 |
|
2019-2026 | M-51 | Wins-25 | WPM-49% | avgCR-8.89 | CI*- 4 10 na na na |
| World_100 | All | 21 |
|
2019-2026 | M-103 | Wins-60 | WPM-58% | avgCR-7.76 | CI*- 5 8 na na 9 |
| World_100 | All | 22 |
|
2018-2025 | M-127 | Wins-78 | WPM-61% | avgCR-7.28 | CI*- 9 7 na na 2 |
| World_100 | All | 23 |
|
2018-2026 | M-117 | Wins-62 | WPM-53% | avgCR-7.08 | CI*- 5 8 na na 3 |
| World_100 | All | 24 |
|
2018-2025 | M-49 | Wins-23 | WPM-47% | avgCR-6.30 | CI*- 9 5 na na na |
| World_100 | All | 25 |
|
2019-2025 | M-63 | Wins-32 | WPM-51% | avgCR-5.55 | CI*- 3 6 na na na |
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