Result of 2021/09/23 00:10

Rank	Team	Revision	Win	VILLAGER	SEER	MEDIUM	BODYGUARD	WEREWOLF	POSSESSED	Description
1	Hideto	59	0.680	0.792	0.833	0.750	0.700	0.500	0.167
2	TOT	241	0.660	0.786	0.600	0.556	0.750	0.333	0.500	same agent as revision 223 in the form of .NET console app
3	Sajin	189	0.650	0.741	0.800	0.750	0.750	0.316	0.500
4	SORA	58	0.630	0.679	1.000	0.727	0.600	0.364	0.200
5	KP22	195	0.620	0.661	0.600	0.636	0.500	0.400	0.778
6	caranha	2	0.620	0.640	0.583	1.000	0.600	0.636	0.167	Test Script from 2020 tutorial. Apply OMGUS tactics
7	toku	197	0.620	0.698	1.000	1.000	0.667	0.176	0.545
8	SYu	57	0.610	0.764	0.600	0.600	0.625	0.263	0.375
9	potato	148	0.610	0.714	0.875	0.833	0.667	0.409	0.111
10	Wiski	200	0.600	0.709	0.400	0.778	0.857	0.200	0.500
11	Tomatoken	203	0.600	0.709	0.889	0.400	0.800	0.300	0.167
12	wasabi	19	0.590	0.725	0.750	0.750	0.500	0.364	0.000	１回目
13	OKAMI	123	0.590	0.750	0.571	0.000	1.000	0.304	0.300
14	HALU	231	0.590	0.714	0.500	0.200	0.667	0.550	0.200
15	ICE	201	0.580	0.603	0.857	0.500	0.600	0.467	0.444
16	Tomato	234	0.570	0.580	0.750	1.000	0.625	0.565	0.125
17	kitkat	190	0.570	0.667	0.750	0.600	0.857	0.118	0.250	I'm not a werewolf! promise!
18	karma	239	0.550	0.564	1.000	0.667	0.700	0.278	0.714	This Agent is based on "takeda"
19	TheMasters	114	0.550	0.700	0.375	0.818	0.667	0.158	0.167	agent TheMasters submission 1.0.1
20	bipl	15	0.540	0.574	0.556	1.000	0.571	0.412	0.333
21	takumi	10	0.530	0.554	1.000	0.625	0.571	0.412	0.250
22	TuringREG	154	0.510	0.593	0.400	0.857	0.375	0.263	0.500	Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour.
23	kokuto	101	0.510	0.490	0.714	0.750	0.857	0.368	0.250	Request使用
24	Sashimi	236	0.500	0.560	0.500	0.750	0.571	0.273	0.500
25	daisyo	4	0.500	0.585	0.714	0.500	0.250	0.370	0.000
26	CanisLupus	232	0.470	0.587	0.500	0.500	0.400	0.323	0.250	Hello village!
-	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