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Season 3 Level A Week 6

Standings

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#	Awards	Player	Region	# Correct	% Correct	Average Correct Celerity	Std. Dev. Celerity	Score
1		Michael Laudermith	Illinois	47	94.0%	.590	.216	807
2		Arthur Walden Lechner	North Carolina	47	94.0%	.540	.225	777
3		Shane Whitlock	Arkansas	46	92.0%	.555	.218	771
4		Michael Olson	Minnesota	47	94.0%	.526	.230	765
5		Christopher Gismondi	Michigan	47	94.0%	.521	.187	763
6		Jean Cui	New York	49	98.0%	.463	.228	761
7		Dan Puma	Illinois	47	94.0%	.516	.246	759
8		Bruce Arthur	Virginia	44	88.0%	.575	.203	745
9		Dargan Ware	Alabama	45	90.0%	.536	.209	738
10		Anu Kashyap	California	47	94.0%	.482	.186	737
11		Ken Mitchell	California	48	96.0%	.453	.200	737
12		Julie Bratvold	California	44	88.0%	.527	.200	721
13		Jeffrey Schwartz	New York	48	96.0%	.428	.258	721
14		Eric Douglass	South Carolina	46	92.0%	.482	.250	720
15		Alex Dzurick	Pennsylvania	47	94.0%	.447	.209	719
16		Daniel Galitsky	District of Columbia	45	90.0%	.504	.224	718
17		Chris Ottolino	Missouri	45	90.0%	.497	.225	718
18		Carl Tjo	California	45	90.0%	.491	.272	715
19		Lorin Burte	Illinois	44	88.0%	.502	.243	705
20		John Hanna	North Carolina	45	90.0%	.468	.200	701
21		Scott Latchem	California	45	90.0%	.457	.204	698
22		Mark Morris	Alabama	48	96.0%	.383	.223	696
23		Patrick McKinney	Maryland	43	86.0%	.511	.192	690
24		Wesley Mathews	Arizona	46	92.0%	.424	.238	690
25		Sam Ferguson	South Carolina	42	84.0%	.514	.200	682
26		Benjamin Livingston	Minnesota	43	86.0%	.487	.219	681
27		Erik Nickels	Pennsylvania	46	92.0%	.401	.231	677
28		Lee Henry	Alabama	43	86.0%	.481	.254	675
29		Peter Schmidt	Pennsylvania	42	84.0%	.502	.244	674
30		Patrick Carthy	Europe	44	88.0%	.443	.243	671
31		Jimmy Li	California	41	82.0%	.525	.197	670
32		Tom Kelso	New York	42	84.0%	.492	.240	668
33		Lynn Yu	California	47	94.0%	.361	.234	668
34		Joshua Grischow	Ohio	43	86.0%	.464	.267	666
35		Jerry Kribs	Illinois	46	92.0%	.384	.223	665
36		Jeff Frank	Indiana	42	84.0%	.488	.245	664
37		John Kocsis	District of Columbia	45	90.0%	.410	.266	664
38		Matthew Marcus	California	45	90.0%	.399	.244	664
39		Garrett Marcotte	California	44	88.0%	.434	.188	663
40		Toby Cox	United Kingdom	44	88.0%	.431	.250	662
41		Alan Rosenthal	California	44	88.0%	.422	.248	662
42		Jared Kushner	New York	46	92.0%	.381	.244	662
43		Lars Melton	Virginia	48	96.0%	.324	.241	659
44		Phil Castagna	Pennsylvania	50	100.0%	.279	.242	658
45		Andrew Fisher	United Kingdom	43	86.0%	.433	.219	651
46		Nic Mortimer	United Kingdom	45	90.0%	.377	.247	649
47		Christopher Harris	Texas	45	90.0%	.362	.268	639
48		Fran Bigman	New York	43	86.0%	.414	.262	638
49		Will Howells	United Kingdom	45	90.0%	.354	.242	632
50		Eric Adams	Georgia	39	78.0%	.518	.238	631
51		Melissa Lake	Pennsylvania	45	90.0%	.351	.245	631
52		Andrew Medlin	Louisiana	46	92.0%	.314	.208	628
53		Paul Holloman	North Carolina	47	94.0%	.293	.243	626
54		Zach Dumar	Wisconsin	45	90.0%	.322	.223	620
55		Stuart Ryan Teso-Warner	Illinois	41	82.0%	.426	.217	618
56		Chuck Yu	Maryland	42	84.0%	.395	.247	616
57		Parikshit Chauhan	California	42	84.0%	.394	.225	613
58		Michael McPartland	United Kingdom	43	86.0%	.353	.242	611
59		Tristan Harris	Florida	42	84.0%	.375	.237	607
60		Dale McDaniel	Florida	41	82.0%	.403	.253	603
61		Alan Kreisel	Florida	41	82.0%	.402	.208	602
62		Andrew Dupont	California	43	86.0%	.344	.227	601
63		Lucy Reynolds	United Kingdom	41	82.0%	.385	.266	596
64		Tamara Carson	Virginia	42	84.0%	.349	.258	591
65		Jared Michael Taylor	District of Columbia	42	84.0%	.344	.219	588
66		Austin Wilder	Minnesota	37	74.0%	.476	.215	579
67		Dylan McCormick	Wisconsin	43	86.0%	.303	.240	579
68		Michael Kettler	Ohio	40	80.0%	.368	.250	577
69		Losha Ndemeno-Tegomoh	Minnesota	40	80.0%	.375	.234	576
70		Braden Boutwell	Florida	44	88.0%	.283	.191	576
71		Jason Lai	New York	40	80.0%	.375	.243	575
72		Greg Garbee	Florida	44	88.0%	.272	.256	574
73		Mindy Wong	New York	44	88.0%	.271	.212	574
74		Nate Muckley	Illinois	41	82.0%	.339	.259	570
75		Matthew Guerrasio	New Jersey	40	80.0%	.352	.247	568
76		Mirza Ahmed	Connecticut	42	84.0%	.305	.212	566
77		Nancy Hirsch	Georgia	42	84.0%	.301	.231	565
78		Shauna McNally	Canada	42	84.0%	.299	.222	565
79		Bill Hart	Minnesota	42	84.0%	.290	.224	564
80		Brian Van Dorn	Minnesota	42	84.0%	.290	.276	563
81		Ryan Fedewa	Illinois	41	82.0%	.309	.262	558
82		Matt Noller	United States Territories	42	84.0%	.286	.237	558
83		Ann Gavaghan	United Kingdom	38	76.0%	.396	.254	557
84		Harish Mopur	Illinois	41	82.0%	.301	.264	555
85		Andrew Almas	Canada	39	78.0%	.349	.240	548
86		Andrew Fanko	United Kingdom	39	78.0%	.345	.252	547
87		Joe Kulesza	Illinois	41	82.0%	.295	.222	546
88		Kelly Rabin	Washington	36	72.0%	.439	.241	544
89		Ryan Hemmel	California	38	76.0%	.366	.221	540
90		Chris Nissen	Canada	40	80.0%	.303	.242	539
91		Rachael Peters	Montana	43	86.0%	.216	.207	538
92		Erik Johnson	Minnesota	39	78.0%	.323	.217	533
93		Bryan Enders	Kentucky	40	80.0%	.289	.204	531
94		Kevin McCabe	Colorado	37	74.0%	.367	.237	530
95		Natalie Schermer	Washington	40	80.0%	.274	.253	529
96		Samuel McCoy	Pennsylvania	37	74.0%	.356	.239	525
97		Britney Castleman	Canada	43	86.0%	.194	.204	523
98		Athina Angel	Illinois	42	84.0%	.203	.220	512
99		Alex Hart	Oregon	39	78.0%	.271	.223	511
100		Nathan Hamer	United Kingdom	38	76.0%	.299	.264	510
101		Danielle Long	Illinois	37	74.0%	.308	.240	504
102		Kenneth Lu	California	37	74.0%	.296	.239	499
103		Anthony Walker-Pearson	Europe	39	78.0%	.233	.245	497
104		Travis Beatty	Ohio	38	76.0%	.223	.212	475
105		Olivia Valdes	Florida	38	76.0%	.211	.220	472
106		Ray McCormick	Ohio	35	70.0%	.303	.265	471
107		Jerry Pan	California	39	78.0%	.165	.222	464
108		Barbara White	Missouri	37	74.0%	.186	.207	446
109		David Dennis	Missouri	27	54.0%	.505	.289	434
110		Nicholas Palczak	New York	33	66.0%	.278	.245	434
111		Laura Petersen	Illinois	34	68.0%	.223	.220	427
112		Jordan Kibler	Indiana	32	64.0%	.253	.229	415
113		Rob Brauner	Kentucky	33	66.0%	.191	.184	397
114		Kayla Stafford	Ohio	31	62.0%	.142	.187	358
115		Danny Osborne	Alabama	27	54.0%	.195	.192	330
116		Mei Carmer	Ohio	28	56.0%	.137	.187	323

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.