Result of 2021/09/26 00:12

Rank	Team	Revision	Win	VILLAGER	SEER	MEDIUM	BODYGUARD	WEREWOLF	POSSESSED	Description
1	caranha	2	0.660	0.745	0.429	0.625	0.714	0.591	0.400	Test Script from 2020 tutorial. Apply OMGUS tactics
2	ICE	201	0.643	0.725	0.706	0.842	0.593	0.456	0.438
3	KP22	195	0.635	0.724	0.750	0.545	0.818	0.425	0.357
4	Hideto	59	0.620	0.702	0.682	0.167	0.632	0.400	0.444
5	Tomatoken	203	0.615	0.636	0.846	0.800	0.706	0.389	0.571
6	SORA	58	0.613	0.648	0.846	0.789	0.762	0.328	0.529
7	CanisLupus	232	0.613	0.675	0.833	0.556	0.708	0.362	0.474	Hello village!
8	toku	197	0.600	0.667	0.500	0.667	0.600	0.444	0.400
9	TOT	241	0.600	0.675	0.706	0.632	0.786	0.394	0.316	same agent as revision 223 in the form of .NET console app
10	karma	239	0.590	0.585	0.846	0.667	0.667	0.389	0.500	This Agent is based on "takeda"
11	SYu	57	0.583	0.671	0.750	0.600	0.696	0.291	0.391
12	takumi	10	0.580	0.725	0.200	0.500	0.563	0.200	0.500
13	daisyo	4	0.580	0.657	0.600	0.750	0.700	0.327	0.318
14	Sashimi	236	0.577	0.684	0.400	0.778	0.692	0.318	0.333
15	Tomato	234	0.575	0.644	0.818	0.889	0.579	0.378	0.333
16	TuringREG	154	0.573	0.714	0.556	0.607	0.417	0.292	0.355	Simple OMGUS agent from the Python tutorial with more minor improvements to WEREWOLF, BODYGUARD and SEER behaviour.
17	kokuto	101	0.570	0.615	1.000	0.750	0.500	0.458	0.167	Request使用
18	potato	148	0.570	0.607	1.000	0.625	0.833	0.471	0.111
19	HALU	231	0.567	0.669	0.786	0.609	0.769	0.362	0.208
20	wasabi	19	0.540	0.636	0.682	0.813	0.563	0.246	0.250	１回目
21	kitkat	190	0.530	0.627	0.571	0.750	0.500	0.261	0.429	I'm not a werewolf! promise!
22	bipl	15	0.530	0.630	0.429	0.714	0.625	0.250	0.250
23	TheMasters	114	0.530	0.615	0.600	0.714	0.579	0.289	0.267	agent TheMasters submission 1.0.1
24	OKAMI	123	0.525	0.636	0.667	0.700	0.636	0.196	0.429
25	Sajin	189	0.510	0.636	0.625	0.250	0.600	0.429	0.000
-	FUZZY	104	Check your Error Log
-	Wiski	200	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