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College Football

Standings

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#	Player	Region	Games	TUH	# Correct	% Correct	Average Correct Celerity	Score
1	Slade Gilmer	Alabama	1	50	50	100.0%	.564	839
2	Brian Hight	Michigan	1	50	48	96.0%	.574	816
3	Craig Barker	Michigan	1	50	49	98.0%	.520	795
4	Jacob Shames	Oklahoma	1	50	50	100.0%	.451	769
5	John Hawkes	Virginia	1	50	49	98.0%	.465	762
6	Evan Nagler	New York	1	50	50	100.0%	.416	746
7	Brian Clark	New York	1	50	49	98.0%	.423	737
8	Alex Connor	Ohio	1	50	50	100.0%	.401	735
9	Anthony Peek	Louisiana	1	50	47	94.0%	.467	730
10	Ben Raphel	Massachusetts	1	50	48	96.0%	.433	730
11	Mark Cooper	Massachusetts	1	50	50	100.0%	.375	724
12	Phil Castagna	Pennsylvania	1	50	49	98.0%	.395	718
13	Naveed Chowdhury	California	1	50	48	96.0%	.422	717
14	Ryan Luptak	Illinois	1	50	49	98.0%	.396	717
15	Patrick Byrnett	Virginia	1	50	49	98.0%	.388	716
16	Gabriel Baumgaertner	New York	1	50	49	98.0%	.384	713
17	James Quintong	Connecticut	1	50	49	98.0%	.387	711
18	Jesse Tow	Tennessee	1	50	47	94.0%	.430	709
19	Owen Cooper	Alabama	1	50	47	94.0%	.419	706
20	Erik Eide	Canada	1	50	47	94.0%	.411	698
21	Heath Sorey	Virginia	1	50	46	92.0%	.425	695
22	Mike Rollins	Illinois	1	50	49	98.0%	.360	694
23	Tucker Warner	New York	1	50	50	100.0%	.331	690
24	Dylan Minarik	Illinois	1	50	48	96.0%	.375	688
25	Paul Campbell	California	1	50	50	100.0%	.323	685
26	Tom Kelso	New York	1	50	46	92.0%	.409	683
27	Tyler Ritchie	New York	1	50	49	98.0%	.341	683
28	Josh Heit	Virginia	1	50	46	92.0%	.403	679
29	Adam Bartel	Texas	1	50	43	86.0%	.468	671
30	Bailey Angle	Virginia	1	50	45	90.0%	.410	667
31	Sam Rombro	New York	1	50	45	90.0%	.399	659
32	Jason Fern	North Carolina	1	50	45	90.0%	.393	655
33	Devon Edwards	New York	1	50	46	92.0%	.362	654
34	Alex Knobel	District of Columbia	1	50	47	94.0%	.336	653
35	Eric Adams	Georgia	1	50	47	94.0%	.333	651
36	Robin James Richards	Georgia	1	50	45	90.0%	.366	647
37	Kyle Kahan	California	1	50	47	94.0%	.326	646
38	Mike Malloy	Minnesota	1	50	44	88.0%	.398	645
39	Nick Guilfoyle	Michigan	1	50	45	90.0%	.368	645
40	Daniel Galitsky	District of Columbia	1	50	47	94.0%	.326	645
41	Ben Kopnick	Minnesota	1	50	49	98.0%	.277	645
42	Dan Puma	Illinois	1	50	45	90.0%	.351	636
43	Eric Douglass	South Carolina	1	50	46	92.0%	.331	635
44	Tejas Raje	Illinois	1	50	48	96.0%	.290	635
45	Jonathan Mishory	Illinois	1	50	50	100.0%	.236	634
46	Nicholas Bendler	California	1	50	44	88.0%	.367	633
47	Jeff Frank	Indiana	1	50	45	90.0%	.346	630
48	Erik Nickels	California	1	50	44	88.0%	.365	629
49	Aaron Lichtig	Maryland	1	50	47	94.0%	.296	629
50	Nate Kane	Arizona	1	50	44	88.0%	.366	628
51	Stephen Fontenot	Texas	1	50	43	86.0%	.394	627
52	Jackson Hampton	Minnesota	1	50	45	90.0%	.339	626
53	Chris Becker	Maryland	1	50	46	92.0%	.299	619
54	Dargan Ware	Alabama	1	50	42	84.0%	.399	618
55	Brian Van Dorn	Minnesota	1	50	43	86.0%	.366	616
56	Sean Calhoun	South Dakota	1	50	45	90.0%	.313	615
57	Nick Matchen	Illinois	1	50	48	96.0%	.245	615
58	Nick Downey	California	1	50	42	84.0%	.389	611
59	Zachary Foster	Florida	1	50	44	88.0%	.329	609
60	David Kiang	Illinois	1	50	45	90.0%	.308	608
61	Scott Latchem	California	1	50	45	90.0%	.306	608
62	Brian McSween	New Jersey	1	50	44	88.0%	.322	603
63	Dave Matson	Tennessee	1	50	45	90.0%	.295	602
64	Jonathan Rossman	Pennsylvania	1	50	45	90.0%	.287	600
65	Lars Melton	Virginia	1	50	45	90.0%	.290	596
66	James Dowd	Hawaii	1	50	47	94.0%	.243	593
67	Ari Pollack	Wisconsin	1	50	44	88.0%	.296	590
68	Tracey Hickman	Oklahoma	1	50	47	94.0%	.229	590
69	Matthew Olsen	Illinois	1	50	46	92.0%	.243	588
70	Mark Tong	Massachusetts	1	50	47	94.0%	.229	588
71	Ryan Rosenberg	California	1	50	45	90.0%	.272	585
72	Christopher Harris	Texas	1	50	46	92.0%	.242	583
73	Mark Morris	Alabama	1	50	47	94.0%	.212	579
74	Lorin Burte	Illinois	1	50	43	86.0%	.296	577
75	Jeremy Katz	Florida	1	50	43	86.0%	.307	576
76	Earl Larimer	Georgia	1	50	44	88.0%	.268	575
77	Matthew Smagacz	Wyoming	1	50	49	98.0%	.162	574
78	Matthew Hayes	Louisiana	1	50	47	94.0%	.204	573
79	Josh Hill	Arkansas	1	50	47	94.0%	.202	573
80	Noah Roerig	South Dakota	1	50	46	92.0%	.223	572
81	Michael Kolton	Illinois	1	50	40	80.0%	.357	566
82	Steve Bahnaman	North Carolina	1	50	45	90.0%	.232	565
83	Chris Romero	Texas	1	50	45	90.0%	.235	564
84	Blake Andert	Minnesota	1	50	44	88.0%	.232	557
85	Nicholas Penner	Canada	1	50	43	86.0%	.263	556
86	Phil Santandrea	New York	1	50	44	88.0%	.235	556
87	James Carberry	Louisiana	1	50	45	90.0%	.213	555
88	Jacob Sjostrom	Florida	1	50	40	80.0%	.335	554
89	Kevin McCabe	Colorado	1	50	44	88.0%	.221	547
90	Delano Barnes	Texas	1	50	44	88.0%	.199	537
91	Troy Harris	New Hampshire	1	50	43	86.0%	.230	536
92	Andrew Medlin	Louisiana	1	50	43	86.0%	.215	536
93	Joshua Grischow	Ohio	1	50	39	78.0%	.296	524
94	Spencer Thrope	Middle East	1	50	43	86.0%	.194	520
95	Joey Langdon	Canada	1	50	36	72.0%	.360	514
96	Stephen Ours	Virginia	1	50	43	86.0%	.171	509
97	Greg Garbee	Florida	1	50	42	84.0%	.173	494
98	Noah Corbitt	Texas	1	50	44	88.0%	.113	493
99	Jason Palmer	Ohio	1	50	39	78.0%	.216	486
100	William Bostleman	Ohio	1	50	41	82.0%	.163	484
101	Tara L. Whittle	New York	1	50	38	76.0%	.219	474
102	Dakota Holloway	Oklahoma	1	50	40	80.0%	.146	463
103	Douglas Wilham	Kentucky	1	50	42	84.0%	.096	460
104	Jacob Hoffman	Nebraska	1	50	40	80.0%	.117	448
105	McKinnie Lee Sizemore	Florida	1	50	39	78.0%	.135	447
106	Sam Ferguson	North Carolina	1	50	38	76.0%	.157	443
107	Losha Ndemeno-Tegomoh	Minnesota	1	50	37	74.0%	.167	434
108	Garrett Johnston	Alabama	1	50	40	80.0%	.075	430
109	John Kocsis	District of Columbia	1	50	38	76.0%	.133	429
110	John Monahan	Europe	1	50	38	76.0%	.121	424
111	Jackson Todd	Georgia	1	50	37	74.0%	.107	416
112	Bill Hart	Minnesota	1	50	33	66.0%	.140	380
113	Michael Gibler	Iowa	1	50	29	58.0%	.249	375
114	Tyler Zaremba	Pennsylvania	1	50	33	66.0%	.130	375
115	Todd Roerig	Iowa	1	50	30	60.0%	.172	356
116	Brad Williams	Wisconsin	1	50	31	62.0%	.127	351
117	Matthew Walker	Georgia	1	50	27	54.0%	.053	283
118	Stephanie Perkins	Missouri	1	50	26	52.0%	.025	266
119	Tyler Miller	New York	1	30	20	66.7%	.057	209
120	Iain Thoms	United Kingdom	1	17	11	64.7%	.000	110
121	Manjeera Parupalli	Virginia	1	10	2	20.0%	.294	27

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.