| Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
| 1 | toku | 197 | 0.620 | 0.561 | 0.833 | 0.833 | 0.667 | 0.643 | 0.800 | |
| 2 | SYu | 57 | 0.610 | 0.638 | 0.625 | 0.538 | 0.500 | 0.500 | 0.875 | |
| 3 | Tomatoken | 203 | 0.580 | 0.632 | 0.600 | 0.200 | 0.400 | 0.632 | 0.444 | |
| 4 | OKAMI | 123 | 0.570 | 0.552 | 0.833 | 0.667 | 0.500 | 0.560 | 0.333 | |
| 5 | KP22 | 195 | 0.570 | 0.556 | 0.778 | 0.429 | 0.625 | 0.536 | 0.667 | |
| 6 | Hideto | 59 | 0.550 | 0.543 | 0.643 | 0.200 | 0.857 | 0.619 | 0.143 | |
| 7 | ICE | 201 | 0.540 | 0.518 | 1.000 | 0.500 | 1.000 | 0.480 | 0.600 | |
| 8 | TheMasters | 114 | 0.540 | 0.615 | 0.167 | 0.625 | 0.250 | 0.524 | 0.444 | agent TheMasters submission 1.0.1 |
| 9 | takumi | 10 | 0.540 | 0.491 | 0.333 | 0.900 | 0.714 | 0.563 | 0.375 | |
| 10 | daisyo | 4 | 0.540 | 0.551 | 0.571 | 0.556 | 0.545 | 0.450 | 0.750 | |
| 11 | potato | 148 | 0.530 | 0.556 | 0.429 | 0.667 | 0.500 | 0.368 | 0.800 | |
| 12 | CanisLupus | 232 | 0.530 | 0.538 | 0.000 | 1.000 | 0.667 | 0.346 | 0.800 | Hello village! |
| 13 | SORA | 58 | 0.520 | 0.512 | 0.875 | 0.500 | 0.444 | 0.435 | 0.556 | |
| 14 | bipl | 15 | 0.520 | 0.612 | 0.429 | 0.286 | 0.500 | 0.478 | 0.333 | |
| 15 | Tomato | 234 | 0.510 | 0.567 | 0.333 | 0.444 | 0.444 | 0.364 | 0.500 | |
| 16 | caranha | 2 | 0.510 | 0.600 | 0.400 | 0.600 | 0.250 | 0.417 | 0.500 | Test Script from 2020 tutorial. Apply OMGUS tactics |
| 17 | HALU | 231 | 0.500 | 0.507 | 0.600 | 0.500 | 1.000 | 0.421 | 0.333 | |
| 18 | wasabi | 19 | 0.500 | 0.545 | 0.600 | 0.333 | 0.500 | 0.438 | 0.200 | 1回目 |
| 19 | kokuto | 101 | 0.500 | 0.571 | 0.333 | 0.333 | 0.500 | 0.368 | 0.500 | Request使用 |
| 20 | TuringREG | 154 | 0.500 | 0.509 | 0.833 | 0.500 | 0.429 | 0.429 | 0.400 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
| 21 | Vikings | 84 | 0.460 | 0.517 | 0.400 | 0.444 | 0.600 | 0.462 | 0.100 | Agent “Viking” will be participating for the first time in the 3rd International AIWolf Contest. The agent is specifically designed for a 15 player game but also plays 5 player games brightly. I, Mohiuddeen Khan, have developed this agent and I am currently pursuing my bachelor of technology in computer engineering at the Aligarh Muslim University, India. |
| 22 | Sashimi | 236 | 0.440 | 0.415 | 0.625 | 0.750 | 0.600 | 0.222 | 0.333 | |
| - | FUZZY | 104 | Check your Error Log | |
| - | Wiski | 200 | Check your Error Log | |
| - | Rojin | 199 | Check your Error Log | |
| - | grnmachine | 202 | Check your Error Log | Werewolf competition entry from the MASTERS Group at The University of Tulsa. {jcg5493, grey-bodi, jah6484. sandip} @utulsa.edu |
| - | Camellia | 194 | Check your Error Log | 4th (thank you, @AIWolfSharp for twitter replying) |
| - | otsuki | 65 | Check your Error Log | retired/棄権 |