Rank | Team | Revision | Win | VILLAGER | SEER | MEDIUM | BODYGUARD | WEREWOLF | POSSESSED | Description |
1 | wasabi | 19 | 0.630 | 0.685 | 0.714 | 0.333 | 0.750 | 0.565 | 0.444 | 1回目 |
2 | Hideto | 59 | 0.595 | 0.633 | 0.667 | 0.438 | 0.889 | 0.568 | 0.286 | |
3 | toku | 197 | 0.590 | 0.637 | 0.714 | 0.750 | 0.600 | 0.426 | 0.588 | |
4 | HALU | 231 | 0.580 | 0.561 | 0.667 | 0.778 | 0.533 | 0.652 | 0.273 | |
5 | CanisLupus | 232 | 0.567 | 0.584 | 0.667 | 0.526 | 0.556 | 0.458 | 0.696 | Hello village! |
6 | ICE | 201 | 0.563 | 0.541 | 0.724 | 0.600 | 0.625 | 0.483 | 0.632 | |
7 | TheMasters | 114 | 0.560 | 0.620 | 0.769 | 0.467 | 0.600 | 0.395 | 0.455 | agent TheMasters submission 1.0.1 |
8 | Tomatoken | 203 | 0.555 | 0.510 | 0.789 | 0.588 | 0.500 | 0.611 | 0.417 | |
9 | SORA | 58 | 0.550 | 0.594 | 0.636 | 0.688 | 0.600 | 0.395 | 0.333 | |
10 | potato | 148 | 0.545 | 0.612 | 0.643 | 0.455 | 0.636 | 0.413 | 0.400 | |
11 | TuringREG | 154 | 0.545 | 0.598 | 0.333 | 0.714 | 0.643 | 0.395 | 0.385 | Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour. |
12 | bipl | 15 | 0.543 | 0.623 | 0.393 | 0.765 | 0.556 | 0.369 | 0.462 | |
13 | kokuto | 101 | 0.540 | 0.583 | 0.750 | 0.750 | 0.545 | 0.400 | 0.333 | Request使用 |
14 | Vikings | 84 | 0.520 | 0.519 | 0.333 | 0.500 | 0.286 | 0.625 | 0.500 | 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. |
15 | KP22 | 195 | 0.520 | 0.580 | 0.750 | 0.571 | 0.500 | 0.286 | 0.727 | |
16 | SYu | 57 | 0.520 | 0.513 | 0.750 | 0.471 | 0.696 | 0.484 | 0.300 | |
17 | daisyo | 4 | 0.515 | 0.555 | 0.625 | 0.667 | 0.579 | 0.310 | 0.286 | |
18 | caranha | 2 | 0.515 | 0.602 | 0.643 | 0.571 | 0.444 | 0.342 | 0.231 | Test Script from 2020 tutorial. Apply OMGUS tactics |
19 | Tomato | 234 | 0.510 | 0.458 | 0.444 | 1.000 | 0.600 | 0.600 | 0.600 | |
20 | takumi | 10 | 0.510 | 0.604 | 0.400 | 0.533 | 0.615 | 0.292 | 0.500 | |
21 | OKAMI | 123 | 0.470 | 0.510 | 0.143 | 0.444 | 0.333 | 0.529 | 0.500 | |
22 | Sashimi | 236 | 0.450 | 0.480 | 0.000 | 0.300 | 0.667 | 0.500 | 0.333 | |
- | 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 |