Result of 2021/10/03 00:57

RankTeamRevisionWinVILLAGERSEERMEDIUMBODYGUARDWEREWOLFPOSSESSEDDescription
1ICE2010.7000.8330.8420.0000.0000.4710.500
2HALU2310.6800.8610.6000.0000.0000.7140.313
3Tomatoken2030.6200.7110.8180.0000.0000.3500.385
4Tomato2340.6200.6580.7730.0000.0000.3640.667
5OKAMI1230.6000.7100.7730.0000.0000.2730.600
6Hideto590.5800.7650.7390.0000.0000.5260.208
7karma2390.5700.6250.7270.0000.0000.3330.400This Agent is based on "takeda"
8TheMasters1140.5700.5850.8130.0000.0000.3680.542agent TheMasters submission 1.0.1
9TOT2410.5600.7380.5290.0000.0000.2860.500same agent as revision 223 in the form of .NET console app
10toku1970.5500.7000.6540.0000.0000.5000.222
11bipl150.5500.5850.7500.0000.0000.3080.444
12KP221950.5500.6150.7000.0000.0000.3160.500
13wasabi190.5400.7230.3680.0000.0000.3130.4441回目
14hachi2040.5400.5750.7500.0000.0000.4440.364
15Sajin1890.5300.6940.4760.0000.0000.5190.250
16Sashimi2360.5300.5610.6670.0000.0000.5630.263
17kitkat1900.5300.6040.7500.0000.0000.4210.235I'm not a werewolf! promise!
18SYu570.5200.7620.5260.0000.0000.2110.300
19CanisLupus2320.5200.6360.6670.0000.0000.4000.308Hello village!
20daisyo40.5100.5950.5910.0000.0000.2400.625
21Camellia1940.5100.7370.4500.0000.0000.4400.1764th (thank you, @AIWolfSharp for twitter replying)
22caranha20.5100.6220.6400.0000.0000.3330.304Test Script from 2020 tutorial. Apply OMGUS tactics
23SORA580.5000.6050.6880.0000.0000.1580.455
24kokuto1010.4700.5880.5710.0000.0000.3640.304Request使用
25potato1480.4600.5780.4710.0000.0000.3080.320
26KilerQueen540.4500.5640.6190.0000.0000.3040.176"Kirā kuīn wa sudeni doanobu ni sawatte iru"
27Wiski2000.4400.5590.5450.0000.0000.2920.300
28TuringREG1540.2900.4590.5880.0000.0000.0000.095Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour.
29otsuki650.0000.0000.0000.0000.0000.0000.000retired/棄権
-FUZZY104Check your Error Log
-Rojin199Check your Error Log
-Vikings84Check your Error LogAgent “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.
-grnmachine202Check your Error LogWerewolf competition entry from the MASTERS Group at The University of Tulsa. {jcg5493, grey-bodi, jah6484. sandip} @utulsa.edu


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