| Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
| 1 | toku | 197 | 0.660 | 0.767 | 0.636 | 0.000 | 0.000 | 0.421 | 0.688 | |
| 2 | TOT | 241 | 0.660 | 0.692 | 0.850 | 0.000 | 0.000 | 0.632 | 0.455 | same agent as revision 223 in the form of .NET console app |
| 3 | ICE | 201 | 0.660 | 0.884 | 0.762 | 0.000 | 0.000 | 0.364 | 0.286 | |
| 4 | KP22 | 195 | 0.660 | 0.784 | 0.828 | 0.000 | 0.000 | 0.500 | 0.300 | |
| 5 | HALU | 231 | 0.640 | 0.723 | 0.706 | 0.000 | 0.000 | 0.632 | 0.353 | |
| 6 | daisyo | 4 | 0.630 | 0.784 | 0.750 | 0.000 | 0.000 | 0.211 | 0.500 | |
| 7 | bipl | 15 | 0.580 | 0.842 | 0.917 | 0.000 | 0.000 | 0.310 | 0.286 | |
| 8 | SYu | 57 | 0.580 | 0.730 | 0.619 | 0.000 | 0.000 | 0.389 | 0.458 | |
| 9 | CanisLupus | 232 | 0.580 | 0.773 | 0.773 | 0.000 | 0.000 | 0.143 | 0.250 | Hello village! |
| 10 | SORA | 58 | 0.570 | 0.550 | 0.792 | 0.000 | 0.000 | 0.455 | 0.429 | |
| 11 | OKAMI | 123 | 0.550 | 0.676 | 0.583 | 0.000 | 0.000 | 0.529 | 0.360 | |
| 12 | TuringREG | 154 | 0.540 | 0.682 | 0.471 | 0.000 | 0.000 | 0.267 | 0.500 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
| 13 | Hideto | 59 | 0.530 | 0.718 | 0.421 | 0.000 | 0.000 | 0.423 | 0.375 | |
| 14 | Tomato | 234 | 0.530 | 0.757 | 0.667 | 0.000 | 0.000 | 0.350 | 0.105 | |
| 15 | Tomatoken | 203 | 0.520 | 0.710 | 0.840 | 0.000 | 0.000 | 0.176 | 0.222 | |
| 16 | karma | 239 | 0.510 | 0.575 | 0.737 | 0.000 | 0.000 | 0.360 | 0.313 | This Agent is based on "takeda" |
| 17 | caranha | 2 | 0.500 | 0.667 | 0.500 | 0.000 | 0.000 | 0.263 | 0.368 | Test Script from 2020 tutorial. Apply OMGUS tactics |
| 18 | TheMasters | 114 | 0.460 | 0.625 | 0.526 | 0.000 | 0.000 | 0.300 | 0.345 | agent TheMasters submission 1.0.1 |
| 19 | Vikings | 84 | 0.450 | 0.479 | 0.857 | 0.000 | 0.000 | 0.348 | 0.133 | 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. |
| 20 | Sashimi | 236 | 0.440 | 0.682 | 0.650 | 0.000 | 0.000 | 0.000 | 0.056 | |
| 21 | takumi | 10 | 0.430 | 0.684 | 0.615 | 0.000 | 0.000 | 0.115 | 0.261 | |
| 22 | wasabi | 19 | 0.420 | 0.442 | 0.750 | 0.000 | 0.000 | 0.250 | 0.286 | １回目 |
| 23 | potato | 148 | 0.410 | 0.471 | 0.652 | 0.000 | 0.000 | 0.158 | 0.292 | |
| 24 | kokuto | 101 | 0.400 | 0.605 | 0.400 | 0.000 | 0.000 | 0.158 | 0.222 | Request使用 |
| - | 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 |