Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
1 | hachi | 204 | 0.650 | 0.736 | 1.000 | 1.000 | 0.556 | 0.500 | 0.200 | |
2 | Sashimi | 236 | 0.630 | 0.741 | 0.625 | 0.667 | 0.667 | 0.316 | 0.333 | |
3 | toku | 197 | 0.630 | 0.685 | 1.000 | 1.000 | 0.857 | 0.429 | 0.222 | |
4 | Wiski | 200 | 0.620 | 0.796 | 0.500 | 0.545 | 0.714 | 0.250 | 0.455 | |
5 | daisyo | 4 | 0.620 | 0.695 | 0.800 | 0.818 | 0.500 | 0.286 | 0.500 | |
6 | Tomato | 234 | 0.610 | 0.755 | 0.900 | 0.333 | 0.750 | 0.364 | 0.167 | |
7 | wasabi | 19 | 0.610 | 0.729 | 1.000 | 0.500 | 0.250 | 0.389 | 0.125 | 1回目 |
8 | SYu | 57 | 0.610 | 0.685 | 0.750 | 0.800 | 1.000 | 0.320 | 0.400 | |
9 | ICE | 201 | 0.610 | 0.655 | 1.000 | 0.625 | 0.714 | 0.222 | 0.875 | |
10 | TuringREG | 154 | 0.600 | 0.732 | 0.600 | 0.625 | 0.667 | 0.300 | 0.200 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
11 | Tomatoken | 203 | 0.600 | 0.600 | 1.000 | 0.889 | 0.625 | 0.267 | 0.625 | |
12 | OKAMI | 123 | 0.590 | 0.698 | 0.462 | 1.000 | 0.571 | 0.400 | 0.250 | |
13 | TOT | 241 | 0.590 | 0.673 | 0.667 | 0.615 | 0.667 | 0.429 | 0.200 | same agent as revision 223 in the form of .NET console app |
14 | CanisLupus | 232 | 0.590 | 0.667 | 0.889 | 0.625 | 0.714 | 0.235 | 0.200 | Hello village! |
15 | SORA | 58 | 0.580 | 0.630 | 1.000 | 0.700 | 0.556 | 0.350 | 0.333 | |
16 | Hideto | 59 | 0.580 | 0.649 | 0.500 | 0.800 | 0.800 | 0.462 | 0.000 | |
17 | bipl | 15 | 0.570 | 0.661 | 0.429 | 0.800 | 0.750 | 0.421 | 0.222 | |
18 | takumi | 10 | 0.570 | 0.679 | 0.571 | 0.600 | 0.600 | 0.391 | 0.286 | |
19 | KP22 | 195 | 0.570 | 0.679 | 0.500 | 0.600 | 0.667 | 0.400 | 0.250 | |
20 | TheMasters | 114 | 0.570 | 0.732 | 0.364 | 0.778 | 0.889 | 0.217 | 0.429 | agent TheMasters submission 1.0.1 |
21 | caranha | 2 | 0.560 | 0.684 | 0.600 | 0.250 | 0.714 | 0.263 | 0.500 | Test Script from 2020 tutorial. Apply OMGUS tactics |
22 | kokuto | 101 | 0.560 | 0.596 | 0.556 | 0.857 | 0.800 | 0.333 | 0.333 | Request使用 |
23 | Sajin | 189 | 0.560 | 0.698 | 0.700 | 0.800 | 0.500 | 0.227 | 0.364 | |
24 | potato | 148 | 0.560 | 0.579 | 0.600 | 1.000 | 0.800 | 0.333 | 0.200 | |
25 | karma | 239 | 0.550 | 0.586 | 1.000 | 1.000 | 0.889 | 0.118 | 0.286 | This Agent is based on "takeda" |
26 | KilerQueen | 54 | 0.540 | 0.661 | 0.556 | 0.667 | 0.833 | 0.111 | 0.200 | "Kirā kuīn wa sudeni doanobu ni sawatte iru" |
27 | HALU | 231 | 0.540 | 0.660 | 0.625 | 0.750 | 0.333 | 0.389 | 0.182 | |
28 | kitkat | 190 | 0.490 | 0.711 | 0.625 | 0.182 | 0.500 | 0.190 | 0.364 | I'm not a werewolf! promise! |
- | FUZZY | 104 | Check your Error Log | |
- | Rojin | 199 | Check your Error Log | |
- | Vikings | 84 | Check your Error Log | 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. |
- | 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 |