Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
1 | OKAMI | 123 | 0.740 | 0.891 | 0.692 | 0.750 | 0.750 | 0.429 | 0.167 | |
2 | ICE | 201 | 0.720 | 0.804 | 1.000 | 0.857 | 1.000 | 0.263 | 0.600 | |
3 | SYu | 57 | 0.670 | 0.656 | 1.000 | 1.000 | 0.667 | 0.684 | 0.000 | |
4 | CanisLupus | 232 | 0.670 | 0.800 | 0.929 | 0.750 | 0.667 | 0.176 | 0.333 | Hello village! |
5 | Hideto | 59 | 0.660 | 0.824 | 0.857 | 0.778 | 0.800 | 0.286 | 0.143 | |
6 | HALU | 231 | 0.660 | 0.784 | 0.889 | 0.900 | 1.000 | 0.286 | 0.143 | |
7 | Tomato | 234 | 0.650 | 0.840 | 0.800 | 0.667 | 0.778 | 0.238 | 0.167 | |
8 | Sashimi | 236 | 0.650 | 0.836 | 1.000 | 0.400 | 0.833 | 0.211 | 0.300 | |
9 | TuringREG | 154 | 0.640 | 0.692 | 0.714 | 0.667 | 0.750 | 0.476 | 0.600 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
10 | potato | 148 | 0.640 | 0.818 | 0.600 | 0.750 | 0.875 | 0.158 | 0.333 | |
11 | caranha | 2 | 0.630 | 0.678 | 0.500 | 0.667 | 0.800 | 0.471 | 0.571 | Test Script from 2020 tutorial. Apply OMGUS tactics |
12 | SORA | 58 | 0.630 | 0.780 | 0.833 | 0.889 | 1.000 | 0.259 | 0.000 | |
13 | KP22 | 195 | 0.620 | 0.774 | 0.500 | 0.909 | 0.833 | 0.176 | 0.000 | |
14 | Tomatoken | 203 | 0.610 | 0.792 | 1.000 | 0.833 | 0.667 | 0.174 | 0.250 | |
15 | TOT | 241 | 0.610 | 0.667 | 0.667 | 0.400 | 0.700 | 0.429 | 0.500 | same agent as revision 223 in the form of .NET console app |
16 | Wiski | 200 | 0.600 | 0.617 | 0.333 | 0.818 | 1.000 | 0.400 | 0.500 | |
17 | KilerQueen | 54 | 0.600 | 0.772 | 0.857 | 0.667 | 0.667 | 0.059 | 0.143 | "Kirā kuīn wa sudeni doanobu ni sawatte iru" |
18 | TheMasters | 114 | 0.600 | 0.734 | 1.000 | 0.750 | 1.000 | 0.053 | 0.200 | agent TheMasters submission 1.0.1 |
19 | kokuto | 101 | 0.590 | 0.736 | 0.625 | 0.500 | 0.222 | 0.409 | 0.500 | Request使用 |
20 | takumi | 10 | 0.580 | 0.824 | 0.400 | 1.000 | 0.571 | 0.095 | 0.000 | |
21 | Sajin | 189 | 0.580 | 0.654 | 0.429 | 0.625 | 0.833 | 0.429 | 0.333 | |
22 | kitkat | 190 | 0.570 | 0.735 | 0.500 | 1.000 | 1.000 | 0.160 | 0.125 | I'm not a werewolf! promise! |
23 | karma | 239 | 0.560 | 0.532 | 0.800 | 0.909 | 0.556 | 0.438 | 0.143 | This Agent is based on "takeda" |
24 | toku | 197 | 0.560 | 0.661 | 0.250 | 0.500 | 1.000 | 0.292 | 0.714 | |
25 | wasabi | 19 | 0.550 | 0.620 | 0.667 | 0.571 | 0.667 | 0.471 | 0.000 | 1回目 |
26 | bipl | 15 | 0.540 | 0.577 | 1.000 | 0.750 | 0.700 | 0.333 | 0.429 | |
27 | daisyo | 4 | 0.480 | 0.554 | 0.714 | 0.333 | 0.714 | 0.188 | 0.273 | |
28 | hachi | 204 | 0.440 | 0.575 | 0.500 | 0.625 | 0.455 | 0.167 | 0.364 | |
- | 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 |