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Season 4 Level D Week 1

Standings

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#	Awards	Player	Region	# Correct	% Correct	Average Correct Celerity	Std. Dev. Celerity	Score
1		Dylan Minarik	Wisconsin	48	96.0%	.443	.209	734
2		Matthew Bollinger	Virginia	49	98.0%	.411	.254	730
3		Jordan Brownstein	Virginia	44	88.0%	.488	.260	697
4		Neil Gurram	California	46	92.0%	.422	.256	690
5		Mike Sorice	Illinois	47	94.0%	.399	.225	689
6		Stephen Liu	California	44	88.0%	.469	.239	685
7		Greg Peterson	Illinois	48	96.0%	.356	.223	681
8		Matthew Jackson	District of Columbia	45	90.0%	.403	.230	664
9		Jeff King	Maryland	50	100.0%	.287	.198	664
10		Michael Laudermith	Illinois	48	96.0%	.300	.207	646
11		Aidan Mehigan	New Jersey	43	86.0%	.411	.254	639
12		Ankit Aggarwal	California	43	86.0%	.405	.221	635
13		Chris Romero	Texas	47	94.0%	.300	.215	634
14		Joey Goldman	United Kingdom	41	82.0%	.442	.230	628
15		Arthur Walden Lechner	North Carolina	46	92.0%	.316	.205	628
16		Ryan Rosenberg	California	44	88.0%	.359	.229	624
17		Alan Lin	California	46	92.0%	.309	.203	623
18		Hidehiro Anto	California	46	92.0%	.301	.212	621
19		Janice Paton	Massachusetts	50	100.0%	.222	.207	621
20		Andrew Ullsperger	Illinois	47	94.0%	.284	.210	620
21		Iain Thoms	United Kingdom	44	88.0%	.342	.223	617
22		Aayush Rajasekaran	Canada	42	84.0%	.382	.261	612
23		Evan Nagler	New York	47	94.0%	.265	.193	612
24		Jonathan Suh	Illinois	45	90.0%	.308	.261	611
25		Ben Chametzky	Illinois	45	90.0%	.301	.235	609
26		Kevin Wang	Massachusetts	41	82.0%	.403	.258	606
27		Andrew Wang	Illinois	41	82.0%	.392	.272	603
28		Shane Whitlock	Arkansas	44	88.0%	.316	.257	602
29		Scott Latchem	California	44	88.0%	.312	.217	601
30		Kenji Shimizu	Michigan	42	84.0%	.360	.256	600
31		Sean Smiley	Virginia	44	88.0%	.304	.222	599
32		Benji Nguyen	Texas	42	84.0%	.362	.235	595
33		Brian Weikle	Minnesota	46	92.0%	.251	.171	588
34		Michael Bentley	Washington	44	88.0%	.281	.231	585
35		JinAh Kim	Virginia	42	84.0%	.329	.235	582
36		Gerry Tansey	Missouri	42	84.0%	.325	.205	578
37		Eric Douglass	South Carolina	44	88.0%	.266	.228	576
38		Chris Borglum	Florida	42	84.0%	.315	.199	575
39		Adam Escandell	Texas	42	84.0%	.313	.204	572
40		Aaron Dos Remedios	Canada	43	86.0%	.274	.256	572
41		Matthew Marcus	California	45	90.0%	.236	.209	570
42		Jason Hess	Texas	42	84.0%	.306	.202	568
43		Innis Carson	United Kingdom	46	92.0%	.203	.170	562
44		Jason Keller	New Jersey	43	86.0%	.262	.233	559
45		Dan Puma	Illinois	42	84.0%	.281	.248	556
46		Chris White	New York	44	88.0%	.236	.185	556
47		Ian Dewan	Europe	38	76.0%	.387	.269	555
48		Chris Ottolino	Missouri	42	84.0%	.290	.215	555
49		Christopher Gismondi	Michigan	42	84.0%	.285	.222	553
50		Sam Rombro	Florida	40	80.0%	.318	.261	548
51		Deb Wells	Pennsylvania	43	86.0%	.249	.193	548
52		James E. Lasker	Texas	40	80.0%	.301	.229	537
53		Jean Cui	New York	41	82.0%	.268	.219	537
54		Aaron Lichtig	Maryland	44	88.0%	.202	.205	537
55		Jimmy Li	California	41	82.0%	.275	.199	536
56		John Hanna	North Carolina	41	82.0%	.267	.220	535
57		Henry Baer	California	41	82.0%	.255	.218	530
58		Arthur Lee	Texas	44	88.0%	.190	.172	530
59		Patrick Liao	Canada	40	80.0%	.280	.246	527
60		Tony Chen	Canada	43	86.0%	.182	.232	520
61		Halle Friedman	Illinois	40	80.0%	.236	.233	507
62		Dan Passner	New Jersey	39	78.0%	.260	.216	504
63		Daniel Galitsky	District of Columbia	40	80.0%	.228	.232	502
64		Steve Bahnaman	North Carolina	38	76.0%	.283	.232	501
65		Michael Olson	Minnesota	37	74.0%	.303	.194	498
66		Toby Cox	United Kingdom	37	74.0%	.297	.220	497
67		Daniel Feitel	District of Columbia	38	76.0%	.265	.216	495
68		Max Espensen	United Kingdom	40	80.0%	.210	.222	493
69		Julie Bratvold	California	40	80.0%	.208	.191	493
70		Carl Tjo	California	37	74.0%	.287	.270	491
71		Joshua Levit	Massachusetts	39	78.0%	.232	.218	491
72		Sam Matson	Tennessee	40	80.0%	.204	.176	488
73		Victor Pavao	Massachusetts	36	72.0%	.306	.238	487
74		Wesley Mathews	Arizona	39	78.0%	.218	.198	486
75		Sameen Belal	New York	39	78.0%	.221	.228	484
76		Aaron Flicker	Ohio	36	72.0%	.286	.254	480
77		Randall Eng	New York	39	78.0%	.188	.212	474
78		Joshua Grischow	Ohio	38	76.0%	.201	.192	469
79		Garrett Johnston	Alabama	38	76.0%	.210	.223	468
80		John Presloid	Ohio	38	76.0%	.202	.188	467
81		Kaberi Chakrabarty	Illinois	39	78.0%	.168	.161	463
82		John Kocsis	District of Columbia	37	74.0%	.223	.214	462
83		Lucas Chang	California	35	70.0%	.271	.238	455
84		Tamara Vardomskaya	Canada	35	70.0%	.262	.230	454
85		Benjamin Livingston	Minnesota	35	70.0%	.247	.221	450
86		Alan Huang	Massachusetts	36	72.0%	.205	.208	444
87		Matthew Grieco	New York	35	70.0%	.231	.209	443
88		Patrick Carthy	Europe	35	70.0%	.228	.204	442
89		Andrew Fisher	United Kingdom	33	66.0%	.278	.215	434
90		Sam Ferguson	North Carolina	36	72.0%	.175	.236	429
91		Guan Tong Tay	Asia	37	74.0%	.139	.172	423
92		Daniel DeFelippis	New York	36	72.0%	.154	.180	422
93		Nic Mortimer	United Kingdom	36	72.0%	.146	.193	416
94		Ryan Hemmel	California	33	66.0%	.230	.212	415
95		Moses Mwesigwa Kitakule	Maryland	31	62.0%	.278	.245	410
96		Paul Smith	North Carolina	34	68.0%	.186	.179	409
97		Jamie Hodari	New York	31	62.0%	.243	.232	395
98		James Carberry	Louisiana	33	66.0%	.178	.196	394
99		Kyle Kahan	California	32	64.0%	.186	.216	388
100		Nancy Hirsch	Georgia	32	64.0%	.186	.198	386
101		Carl Voss	Minnesota	31	62.0%	.186	.216	373
102		Andrew Almas	Canada	32	64.0%	.155	.154	373
103		John Stewart	Virginia	32	64.0%	.143	.195	370
104		Vincenzo Tagle	Asia	30	60.0%	.176	.234	360
105		Chuck Yu	Maryland	28	56.0%	.199	.184	341
106		Robert Diethrich	Texas	26	52.0%	.241	.190	328
107		Spencer Biske	Illinois	28	56.0%	.112	.140	313
108		Alex Li	Wisconsin	22	44.0%	.331	.362	306
109		Brad Williams	Wisconsin	24	52.2%	.236	.190	301
110		Mindy Wong	New York	26	52.0%	.123	.171	295
111		Bailey Angle	Virginia	23	46.0%	.188	.186	278
112		Pranav Rupireddy	Illinois	20	40.0%	.189	.259	244
113		Shuying Zheng	Canada	14	28.0%	.212	.220	173
114		Angela Melcher	North Carolina	0	0.0%	-1.000	-1.000	0

Celerity is the fraction of the question that had not been read at the time of a buzz (for which a correct answer was provided). 1.000 is an immediate buzz, .500 is an answer given halfway through the question in terms of time on the sound recording, and .000 is an answer given at the very end.