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Season 3 Level B Week 2

Standings

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#	Awards	Player	Region	# Correct	% Correct	Average Correct Celerity	Std. Dev. Celerity	Score
1		Michael Laudermith	Illinois	49	98.0%	.441	.233	743
2		Dargan Ware	Alabama	47	94.0%	.436	.238	715
3		Michael Olson	Minnesota	48	96.0%	.392	.225	702
4		Chris Ottolino	Missouri	48	96.0%	.379	.227	693
5		Jason Keller	New Jersey	45	90.0%	.405	.245	667
6		Brian Weikle	Minnesota	44	88.0%	.412	.242	654
7		Arthur Walden Lechner	North Carolina	45	90.0%	.386	.258	654
8		Eric Douglass	South Carolina	44	88.0%	.399	.278	651
9		Jimmy Li	California	46	92.0%	.355	.212	649
10		Dan Puma	Illinois	44	88.0%	.381	.237	638
11		Wesley Mathews	Arizona	43	86.0%	.392	.294	633
12		Shane Whitlock	Arkansas	43	86.0%	.402	.267	632
13		David Dennis	Missouri	45	90.0%	.340	.255	631
14		John Hanna	North Carolina	45	90.0%	.337	.245	626
15		Eric Adams	Georgia	43	86.0%	.373	.256	617
16		Christopher Gismondi	Michigan	42	84.0%	.387	.176	613
17		Mark Morris	Alabama	46	92.0%	.279	.237	611
18		Jason Lai	New York	42	84.0%	.378	.261	608
19		Anu Kashyap	California	43	86.0%	.357	.239	607
20		Daniel Feitel	District of Columbia	43	86.0%	.347	.211	605
21		Rudra Ranganathan	Massachusetts	44	88.0%	.308	.234	604
22		Jason Sterlacci	New Jersey	46	92.0%	.270	.228	603
23		Moses Mwesigwa Kitakule	Maryland	40	80.0%	.432	.276	602
24		Daniel Galitsky	District of Columbia	42	84.0%	.359	.267	596
25		Jean Cui	New York	44	88.0%	.305	.230	594
26		Josh Hill	Arkansas	41	82.0%	.377	.262	593
27		Isaac Hirsch	California	43	86.0%	.322	.206	593
28		Ozzie Fallick	California	44	88.0%	.292	.228	584
29		Eugene Hung	Asia	40	80.0%	.388	.233	582
30		John Kocsis	District of Columbia	45	90.0%	.260	.231	581
31		Patrick Carthy	Europe	44	88.0%	.278	.219	578
32		Innis Carson	United Kingdom	42	84.0%	.318	.256	575
33		Carl Tjo	California	43	86.0%	.289	.269	575
34		Andrew Fisher	United Kingdom	41	82.0%	.336	.248	571
35		Ethan Levine	Illinois	43	86.0%	.261	.259	561
36		Alex Dzurick	Pennsylvania	42	84.0%	.282	.234	560
37		Benjamin Livingston	Minnesota	41	82.0%	.315	.196	559
38		Ken Mitchell	California	42	84.0%	.286	.229	558
39		Matthew Marcotte	Texas	44	88.0%	.240	.198	557
40		Kyle Kahan	California	42	84.0%	.291	.201	556
41		Erik Nickels	Pennsylvania	42	84.0%	.289	.203	556
42		Asher Curry	Virginia	42	84.0%	.282	.235	555
43		Julie Bratvold	California	42	84.0%	.283	.242	554
44		Stuart Ryan Teso-Warner	Illinois	41	82.0%	.306	.239	553
45		Jared Michael Taylor	District of Columbia	44	88.0%	.226	.247	551
46		Garrett Marcotte	California	42	84.0%	.268	.190	548
47		Toby Cox	United Kingdom	40	80.0%	.321	.234	546
48		Christopher Shan	Pennsylvania	40	80.0%	.304	.236	539
49		Parikshit Chauhan	California	38	76.0%	.360	.240	538
50		Andy Strange	Kentucky	42	84.0%	.246	.192	536
51		Joshua Grischow	Ohio	40	80.0%	.295	.266	535
52		Losha Ndemeno-Tegomoh	Minnesota	42	84.0%	.237	.198	534
53		Scott Latchem	California	40	80.0%	.289	.224	533
54		Robert Sido	Pennsylvania	37	74.0%	.373	.232	531
55		Matthew Marcus	California	40	80.0%	.262	.204	519
56		Kelly Rabin	Washington	39	78.0%	.273	.240	512
57		Michael McPartland	United Kingdom	41	82.0%	.206	.228	506
58		Scarlett Sims	South Carolina	39	78.0%	.262	.188	503
59		Jake Stone	Georgia	36	72.0%	.339	.241	502
60		Nic Mortimer	United Kingdom	40	80.0%	.210	.228	492
61		Duncan Stevens	Virginia	41	82.0%	.186	.219	490
62		Dale McDaniel	Florida	38	76.0%	.252	.226	489
63		Nancy Hirsch	Georgia	39	78.0%	.226	.210	486
64		Brian Lipinski	District of Columbia	38	76.0%	.241	.229	484
65		Samuel McCoy	Pennsylvania	37	74.0%	.254	.233	478
66		Andrew Dupont	California	38	76.0%	.231	.224	477
67		Joey Goldman	United Kingdom	31	62.0%	.448	.220	476
68		Josh Heit	Virginia	37	74.0%	.256	.221	475
69		Tyler Clement	Georgia	38	76.0%	.217	.238	475
70		Peter Schmidt	Pennsylvania	33	66.0%	.368	.277	473
71		Chuck Yu	Maryland	36	72.0%	.267	.211	468
72		Tim Crockett	Washington	39	78.0%	.188	.211	468
73		Ryan Fedewa	Illinois	37	74.0%	.231	.206	467
74		Simon Alvey	United Kingdom	33	66.0%	.358	.253	466
75		Ryan Hemmel	California	38	76.0%	.210	.199	465
76		Alex Li	Wisconsin	35	70.0%	.256	.265	457
77		Dan Blake	New York	33	66.0%	.327	.263	453
78		Braden Boutwell	Florida	37	74.0%	.199	.210	451
79		Will Howells	United Kingdom	37	74.0%	.198	.194	451
80		Anthony Peek	Louisiana	35	70.0%	.257	.235	450
81		David Kiang	Illinois	36	72.0%	.221	.200	450
82		William Bostleman	Ohio	39	78.0%	.126	.168	444
83		Brad Williams	Wisconsin	34	68.0%	.266	.234	442
84		Gayathri Venkataramani	Maryland	34	68.0%	.266	.228	442
85		Arlo Lyle	Minnesota	33	66.0%	.278	.217	435
86		Amanda Walker	Wisconsin	32	64.0%	.313	.237	434
87		Dale Schenewerk	Missouri	33	66.0%	.270	.200	433
88		Rose Liu	United States Territories	36	72.0%	.177	.182	432
89		Tamara Carson	Virginia	36	72.0%	.176	.207	432
90		Nate Muckley	Illinois	34	68.0%	.214	.229	422
91		Margaret Puelle	Pennsylvania	35	70.0%	.169	.207	417
92		Greg Garbee	Florida	36	72.0%	.161	.183	417
93		Chris Johnston	Canada	36	72.0%	.139	.186	417
94		Edward Hardin	New York	33	66.0%	.230	.253	416
95		Mindy Wong	New York	34	68.0%	.200	.225	416
96		Aaron Levine	Washington	37	74.0%	.110	.151	412
97		Matthew Kumar	United Kingdom	32	64.0%	.239	.226	406
98		Lucy Reynolds	United Kingdom	31	62.0%	.250	.223	397
99		Kenneth Lu	California	36	72.0%	.100	.160	396
100		Andrew Almas	Canada	32	64.0%	.190	.236	388
101		Jimmy Wilkinson	Maryland	33	66.0%	.154	.170	387
102		Travis Beatty	Ohio	32	64.0%	.167	.159	377
103		Kaitlin Lilienthal	Maryland	34	68.0%	.099	.135	376
104		Tyler Miller	New York	31	62.0%	.170	.178	369
105		Kristin Pierce	Missouri	30	60.0%	.188	.209	365
106		John Stewart	Virginia	29	58.0%	.210	.194	357
107		Rebecca Puelle	Maryland	30	60.0%	.161	.190	351
108		Jonathan Rankin	Arkansas	28	56.0%	.224	.184	349
109		Rachel Puelle	Maryland	30	60.0%	.150	.169	349
110		Colin Worrich	Pennsylvania	30	60.0%	.135	.152	344
111		Liz Berry	Canada	28	56.0%	.202	.221	342
112		Joseph Harr	Asia	29	58.0%	.151	.211	339
113		Barbara White	Missouri	28	56.0%	.145	.197	326
114		Nathan Hamer	United Kingdom	26	52.0%	.194	.189	316
115		Tyler Berry	Canada	25	50.0%	.162	.180	292

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.