| Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
| 1 | daisyo | 4 | 0.730 | 0.775 | 0.909 | 0.000 | 0.000 | 0.786 | 0.458 | |
| 2 | SORA | 58 | 0.710 | 0.854 | 0.933 | 0.000 | 0.000 | 0.294 | 0.550 | |
| 3 | CanisLupus | 232 | 0.630 | 0.839 | 0.842 | 0.000 | 0.000 | 0.400 | 0.440 | Hello village! |
| 4 | toku | 197 | 0.600 | 0.731 | 0.706 | 0.000 | 0.000 | 0.267 | 0.375 | |
| 5 | HALU | 231 | 0.600 | 0.660 | 0.563 | 0.000 | 0.000 | 0.692 | 0.429 | |
| 6 | Tomatoken | 203 | 0.590 | 0.571 | 0.773 | 0.000 | 0.000 | 0.500 | 0.529 | |
| 7 | SYu | 57 | 0.590 | 0.758 | 0.846 | 0.000 | 0.000 | 0.318 | 0.263 | |
| 8 | bipl | 15 | 0.580 | 0.634 | 0.600 | 0.000 | 0.000 | 0.458 | 0.600 | |
| 9 | caranha | 2 | 0.570 | 0.644 | 0.533 | 0.000 | 0.000 | 0.550 | 0.450 | Test Script from 2020 tutorial. Apply OMGUS tactics |
| 10 | Sashimi | 236 | 0.560 | 0.600 | 0.889 | 0.000 | 0.000 | 0.231 | 0.417 | |
| 11 | ICE | 201 | 0.560 | 0.656 | 0.571 | 0.000 | 0.000 | 0.500 | 0.481 | |
| 12 | wasabi | 19 | 0.550 | 0.614 | 0.900 | 0.000 | 0.000 | 0.235 | 0.316 | １回目 |
| 13 | KP22 | 195 | 0.530 | 0.575 | 0.632 | 0.000 | 0.000 | 0.471 | 0.417 | |
| 14 | TheMasters | 114 | 0.520 | 0.744 | 0.500 | 0.000 | 0.000 | 0.292 | 0.368 | agent TheMasters submission 1.0.1 |
| 15 | kokuto | 101 | 0.510 | 0.750 | 0.737 | 0.000 | 0.000 | 0.167 | 0.286 | Request使用 |
| 16 | OKAMI | 123 | 0.500 | 0.829 | 0.458 | 0.000 | 0.000 | 0.250 | 0.235 | |
| 17 | takumi | 10 | 0.480 | 0.476 | 0.667 | 0.000 | 0.000 | 0.350 | 0.412 | |
| 18 | TuringREG | 154 | 0.470 | 0.545 | 0.542 | 0.000 | 0.000 | 0.350 | 0.391 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
| 19 | potato | 148 | 0.460 | 0.744 | 0.571 | 0.000 | 0.000 | 0.250 | 0.042 | |
| 20 | Hideto | 59 | 0.460 | 0.686 | 0.500 | 0.000 | 0.000 | 0.259 | 0.167 | |
| 21 | Vikings | 84 | 0.430 | 0.579 | 0.700 | 0.000 | 0.000 | 0.263 | 0.087 | 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 | Tomato | 234 | 0.400 | 0.561 | 0.563 | 0.000 | 0.000 | 0.227 | 0.143 | |
| 23 | Camellia | 194 | 0.380 | 0.450 | 0.478 | 0.000 | 0.000 | 0.250 | 0.238 | 4th (thank you, @AIWolfSharp for twitter replying) |
| - | 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 |
| - | otsuki | 65 | Check your Error Log | retired/棄権 |