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Season 5 Level A Week 4

Standings

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#	Awards	Player	Region	# Correct	% Correct	Average Correct Celerity	Std. Dev. Celerity	Score
1		Michael Laudermith	Illinois	50	100.0%	.570	.223	847
2		Dargan Ware	Alabama	49	98.0%	.550	.222	817
3		Christopher Gismondi	Michigan	49	98.0%	.544	.233	813
4		Chris Ottolino	Missouri	47	94.0%	.554	.194	785
5		Arthur Walden Lechner	North Carolina	48	96.0%	.521	.231	781
6		Steve Bahnaman	North Carolina	46	92.0%	.565	.186	779
7		Gerry Tansey	Missouri	46	92.0%	.556	.203	770
8		John Hanna	North Carolina	47	94.0%	.484	.190	745
9		David Dennis	Missouri	47	94.0%	.481	.241	743
10		Aaron Lichtig	Maryland	49	98.0%	.425	.257	742
11		Eric Adams	Georgia	46	92.0%	.497	.257	734
12		Brian Weikle	Minnesota	46	92.0%	.491	.213	733
13		Joshua Grischow	Ohio	48	96.0%	.440	.245	732
14		Dan Puma	Illinois	44	88.0%	.543	.223	730
15		Wesley Mathews	Arizona	45	90.0%	.514	.256	729
16		Parikshit Chauhan	California	45	90.0%	.514	.246	727
17		Jean Cui	New York	46	92.0%	.491	.252	727
18		Ramapriya Rangaraju	Kentucky	42	84.0%	.601	.221	726
19		Daniel Galitsky	District of Columbia	48	96.0%	.428	.242	726
20		Shane Whitlock	Arkansas	44	88.0%	.534	.228	724
21		Eric Douglass	South Carolina	47	94.0%	.452	.266	723
22		John Kocsis	Virginia	50	100.0%	.377	.273	721
23		Matthew Marcus	California	49	98.0%	.387	.265	718
24		Anu Kashyap	California	44	88.0%	.521	.223	717
25		Deb Wells	Pennsylvania	46	92.0%	.467	.217	717
26		Josh Hill	Arkansas	48	96.0%	.415	.252	717
27		Lee Henry	Alabama	44	88.0%	.523	.249	716
28		Peter Schmidt	Pennsylvania	46	92.0%	.457	.230	711
29		Ross Ferguson	South Carolina	43	86.0%	.535	.188	708
30		Toby Cox	United Kingdom	44	88.0%	.510	.284	706
31		Jimmy Li	California	45	90.0%	.470	.206	705
32		Jacob O'Rourke	Missouri	45	90.0%	.472	.254	703
33		Garrett Marcotte	California	46	92.0%	.435	.210	700
34		Daniel Feitel	District of Columbia	44	88.0%	.475	.209	691
35		Patrick Carthy	Europe	45	90.0%	.442	.237	687
36		Benjamin Livingston	Minnesota	46	92.0%	.418	.239	687
37		Garrett Johnston	Alabama	45	90.0%	.432	.262	681
38		Jeff Frank	Indiana	46	92.0%	.405	.236	678
39		Patrick McKinney	Maryland	43	86.0%	.477	.254	676
40		Anthony DiCarlo	California	40	80.0%	.564	.235	675
41		Aaron Flicker	Ohio	45	90.0%	.427	.256	675
42		Matthew Marcotte	Texas	47	94.0%	.366	.243	671
43		Natasha Baker-Bradley	Texas	48	96.0%	.338	.230	671
44		Noah McThenia	North Carolina	45	90.0%	.407	.251	669
45		Matthew Grieco	New York	45	90.0%	.403	.254	665
46		Ryan Hemmel	California	45	90.0%	.405	.231	663
47		Robert Sido	Pennsylvania	44	88.0%	.429	.241	662
48		Erik Nickels	California	44	88.0%	.420	.239	662
49		Jake Stone	Georgia	42	84.0%	.471	.204	661
50		Andrew Fanko	United Kingdom	48	96.0%	.320	.249	660
51		Michael McPartland	United Kingdom	47	94.0%	.341	.257	659
52		Radu Popescu	Canada	47	94.0%	.339	.265	656
53		Jared Michael Taylor	District of Columbia	46	92.0%	.357	.249	655
54		Rudra Ranganathan	Massachusetts	44	88.0%	.409	.227	653
55		Scott Latchem	California	45	90.0%	.376	.208	649
56		Sarah Benner	Indiana	41	82.0%	.478	.225	642
57		Andrew Medlin	Louisiana	46	92.0%	.339	.264	640
58		Dale McDaniel	Florida	45	90.0%	.351	.249	635
59		Stephen Ours	Virginia	45	90.0%	.344	.203	635
60		Kelly Rabin	Washington	43	86.0%	.395	.196	630
61		Harley Andrew	Wisconsin	44	88.0%	.363	.227	628
62		Mark Morris	Alabama	46	92.0%	.312	.274	628
63		Christopher Harris	Texas	46	92.0%	.308	.242	623
64		Dale Schenewerk	Missouri	44	88.0%	.350	.214	621
65		Andrew Dupont	California	45	90.0%	.330	.241	621
66		Alex Dzurick	Missouri	41	82.0%	.432	.238	620
67		Michael Kettler	Ohio	45	90.0%	.321	.266	620
68		Harish Mopur	Illinois	44	88.0%	.339	.261	617
69		Dan Blake	New York	43	86.0%	.363	.245	612
70		Christopher Clough	United Kingdom	45	90.0%	.310	.260	612
71		Chris Hale	Virginia	44	88.0%	.334	.265	610
72		John Lance	California	46	92.0%	.285	.239	610
73		David Kiang	Illinois	46	92.0%	.282	.224	608
74		Jimmy Dunn	Michigan	40	80.0%	.431	.252	605
75		Ken Mitchell	California	42	84.0%	.375	.245	605
76		Lars Melton	Virginia	45	90.0%	.298	.230	603
77		Cathy Hirsch	Georgia	46	92.0%	.272	.210	602
78		Carl Voss	Minnesota	43	86.0%	.341	.272	601
79		Nic Mortimer	United Kingdom	46	92.0%	.257	.262	601
80		Andrew Almas	Canada	44	88.0%	.307	.232	599
81		Daniel White	Washington	46	92.0%	.270	.251	599
82		Dana Thurmond	Florida	42	84.0%	.353	.239	593
83		Will Howells	United Kingdom	43	86.0%	.326	.250	591
84		Ben Rothenberg	District of Columbia	40	80.0%	.404	.278	590
85		Alan Kreisel	Florida	43	86.0%	.315	.229	590
86		Douglas Wilham	Kentucky	45	90.0%	.268	.237	590
87		Arthur Ramsay	Vermont	40	80.0%	.400	.259	589
88		Jason Palmer	Ohio	43	86.0%	.321	.240	588
89		Natalie McAfee	Texas	39	78.0%	.427	.253	586
90		Tristan Harris	Florida	45	90.0%	.262	.236	586
91		Samuel McCoy	Pennsylvania	42	84.0%	.334	.225	585
92		Sam German	Minnesota	45	90.0%	.265	.228	584
93		Elisabeth Evan	Ohio	45	90.0%	.252	.205	581
94		Nicholas Harrison	Canada	45	90.0%	.250	.235	581
95		Jared Kushner	New York	40	80.0%	.376	.222	580
96		Sean Calhoun	South Dakota	47	94.0%	.199	.210	576
97		Natalie Schermer	Washington	42	84.0%	.317	.267	575
98		Brian Lipinski	District of Columbia	40	80.0%	.362	.245	571
99		Chuck Yu	Maryland	42	84.0%	.303	.254	567
100		Robert Diethrich	Texas	38	76.0%	.406	.239	562
101		Losha Ndemeno-Tegomoh	Minnesota	41	82.0%	.316	.237	562
102		Anthony Walker-Pearson	Europe	41	82.0%	.307	.290	561
103		Daniel Ogburn	Virginia	42	84.0%	.295	.216	559
104		Patrick Metzger	Illinois	44	88.0%	.234	.235	558
105		Anthony Peek	Louisiana	41	82.0%	.310	.228	557
106		Mindy Wong	New York	42	84.0%	.273	.253	556
107		Chris Johnston	Canada	41	82.0%	.299	.237	554
108		Carl Tjo	California	37	82.2%	.406	.305	551
109		Shannon Jamison	Virginia	45	90.0%	.203	.208	551
110		Kenneth Lu	California	39	78.0%	.351	.208	549
111		Nathan Hamer	United Kingdom	43	86.0%	.242	.242	548
112		Matthew Given	Louisiana	40	80.0%	.306	.202	539
113		Phil Castagna	Pennsylvania	39	78.0%	.322	.246	538
114		Alex Li	Wisconsin	39	78.0%	.317	.279	533
115		Colin Mason	Pennsylvania	40	80.0%	.282	.233	533
116		Nate Bisco	Asia	41	82.0%	.262	.243	533
117		Ben Kirk	New York	38	76.0%	.342	.234	531
118		Kathryn Stafford	California	40	80.0%	.271	.237	525
119		Bill Hart	Minnesota	41	82.0%	.245	.238	524
120		James Dowd	Hawaii	41	82.0%	.242	.213	523
121		Cameron Doffing	Minnesota	40	80.0%	.263	.207	520
122		Chris Given	Louisiana	35	70.0%	.401	.233	518
123		Matthew Guerrasio	New Jersey	43	86.0%	.183	.214	518
124		Jenna Hull	California	40	80.0%	.251	.239	515
125		Britney Castleman	Canada	42	84.0%	.195	.235	515
126		Bailey Angle	Virginia	37	74.0%	.339	.233	514
127		Aaron Kozak	Canada	43	86.0%	.178	.233	514
128		Jerry Pan	California	39	78.0%	.245	.252	502
129		Nate Kane	Arizona	35	70.0%	.369	.240	501
130		Alex Hart	Oregon	40	80.0%	.215	.201	496
131		Gigme Chittayath	Tennessee	35	70.0%	.352	.235	495
132		Arlo Lyle	Minnesota	35	70.0%	.340	.261	494
133		Suzanne Pettyjohn	Illinois	40	80.0%	.197	.203	491
134		Brock Stephenson	Canada	36	72.0%	.311	.218	488
135		Shanna Covarrubias	Illinois	41	82.0%	.164	.193	483
136		Thomas Credeur	Louisiana	37	74.0%	.258	.243	481
137		Barbara White	Missouri	42	84.0%	.130	.143	477
138		Kevin McCabe	Colorado	37	74.0%	.249	.237	476
139		Liz Fujita	Michigan	38	76.0%	.194	.240	466
140		Prasanna Krishna	California	40	80.0%	.149	.157	465
141		Molly Burns	Illinois	38	76.0%	.188	.189	456
142		Richard Wang	Canada	36	72.0%	.217	.262	451
143		Susan Corbus	Illinois	36	72.0%	.205	.218	444
144		Brian Morehouse	Connecticut	37	74.0%	.170	.213	438
145		Laura Petersen	Illinois	37	74.0%	.159	.186	437
146		Laiken Mann	Alabama	36	72.0%	.162	.222	422
147		Jennifer Maki	Iowa	38	76.0%	.110	.139	422
148		Alexander Bandukwala	Illinois	36	72.0%	.132	.164	409
149		Rob Brauner	Kentucky	33	66.0%	.181	.201	394
150		Danielle Long	Illinois	30	60.0%	.265	.250	393
151		Danny Osborne	Alabama	31	62.0%	.217	.208	384
152		Javas Lal	New Jersey	29	58.0%	.183	.231	349
153		Liesl Bailey	Florida	27	54.0%	.202	.223	333

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.