Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
1 | KP22 | 195 | 0.660 | 0.712 | 0.667 | 1.000 | 0.833 | 0.438 | 0.333 | |
2 | SORA | 58 | 0.650 | 0.689 | 0.833 | 1.000 | 0.600 | 0.500 | 0.143 | |
3 | SYu | 57 | 0.650 | 0.774 | 0.500 | 1.000 | 1.000 | 0.385 | 0.571 | |
4 | caranha | 2 | 0.640 | 0.830 | 0.375 | 0.500 | 0.857 | 0.350 | 0.500 | Test Script from 2020 tutorial. Apply OMGUS tactics |
5 | Hideto | 59 | 0.620 | 0.730 | 0.714 | 0.250 | 0.667 | 0.333 | 0.200 | |
6 | TOT | 241 | 0.620 | 0.755 | 1.000 | 0.625 | 0.500 | 0.320 | 0.571 | same agent as revision 223 in the form of .NET console app |
7 | TheMasters | 114 | 0.570 | 0.698 | 0.875 | 0.400 | 0.571 | 0.350 | 0.000 | agent TheMasters submission 1.0.1 |
8 | kokuto | 101 | 0.570 | 0.691 | 0.800 | 0.333 | 0.667 | 0.083 | 0.200 | Request使用 |
9 | Tomatoken | 203 | 0.570 | 0.655 | 0.667 | 1.000 | 0.700 | 0.238 | 0.000 | |
10 | TuringREG | 154 | 0.550 | 0.542 | 0.500 | 0.556 | 0.333 | 0.667 | 0.500 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
11 | CanisLupus | 232 | 0.540 | 0.647 | 0.600 | 1.000 | 0.500 | 0.182 | 0.400 | Hello village! |
12 | toku | 197 | 0.530 | 0.500 | 0.857 | 0.714 | 0.222 | 0.619 | 0.400 | |
13 | potato | 148 | 0.530 | 0.558 | 1.000 | 0.200 | 0.333 | 0.440 | 0.800 | |
14 | HALU | 231 | 0.530 | 0.689 | 0.500 | 0.400 | 1.000 | 0.231 | 0.333 | |
15 | ICE | 201 | 0.520 | 0.517 | 0.625 | 0.500 | 0.375 | 0.647 | 0.000 | |
16 | OKAMI | 123 | 0.510 | 0.561 | 0.333 | 0.286 | 0.545 | 0.556 | 0.500 | |
17 | wasabi | 19 | 0.500 | 0.482 | 0.333 | 0.833 | 0.500 | 0.350 | 0.875 | 1回目 |
18 | bipl | 15 | 0.500 | 0.490 | 0.455 | 0.750 | 0.250 | 0.429 | 0.714 | |
19 | takumi | 10 | 0.490 | 0.593 | 0.667 | 0.714 | 0.833 | 0.048 | 0.250 | |
20 | Vikings | 84 | 0.490 | 0.490 | 0.429 | 0.500 | 0.571 | 0.545 | 0.286 | 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. |
21 | karma | 239 | 0.480 | 0.450 | 0.714 | 0.750 | 0.444 | 0.500 | 0.333 | This Agent is based on "takeda" |
22 | Sashimi | 236 | 0.480 | 0.500 | 0.200 | 0.500 | 0.600 | 0.469 | 0.500 | |
23 | Tomato | 234 | 0.450 | 0.453 | 0.400 | 0.400 | 0.714 | 0.381 | 0.500 | |
24 | daisyo | 4 | 0.450 | 0.431 | 0.500 | 0.333 | 0.857 | 0.417 | 0.400 | |
- | 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 |