Soccer Special

Standings

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#PlayerRegionGames TUH # Correct % Correct Average
Correct
Celerity
Score
1Stephen FontenotTexas1 50 46 92.0% .479726
2Nathan WeiserCalifornia1 50 42 84.0% .555704
3Joon PahkMassachusetts1 50 48 96.0% .388698
4Moses KitakuleMaryland1 50 45 90.0% .444689
5Neil GurramCalifornia1 50 46 92.0% .418688
6Dennis BeebyCanada1 50 48 96.0% .353679
7Patrick ClearySouth Carolina1 50 45 90.0% .411669
8Matthew KumarUnited Kingdom1 50 45 90.0% .394660
9John HawkesVirginia1 50 45 90.0% .366644
10Josh HeitVirginia1 50 47 94.0% .319643
11Patrick CarthyEurope1 50 43 86.0% .400636
12Andrew DupontCalifornia1 50 47 94.0% .294629
13Joshua LevitMassachusetts1 50 44 88.0% .358624
14Jonathan SuhIllinois1 50 45 90.0% .323617
15Naveed ChowdhuryGeorgia1 50 46 92.0% .284613
16Andrew FankoUnited Kingdom1 50 43 86.0% .355609
17Greg PetersonIowa1 50 44 88.0% .333609
18Andy StrangeKentucky1 50 45 90.0% .302608
19Jared Michael TaylorDistrict of Columbia1 50 45 90.0% .302605
20Dan PumaIllinois1 50 46 92.0% .265601
21Oliver ForrestUnited Kingdom1 50 41 82.0% .372590
22David KiangIllinois1 50 43 86.0% .321590
23Evan NaglerNew York1 50 44 88.0% .296590
24Phillip SuittsUnited States Territories1 50 42 84.0% .346588
25Mirza AhmedConnecticut1 50 44 88.0% .297588
26Sean CalhounSouth Dakota1 50 45 90.0% .240571
27Nathan HamerUnited Kingdom1 50 39 78.0% .369561
28Stephen LiuCalifornia1 50 41 82.0% .310559
29Aaron LichtigMaryland1 50 43 86.0% .254557
30Greg GarbeeFlorida1 50 39 78.0% .355552
31Michael DaviesMaryland1 50 44 88.0% .223551
32Paul KasinskiCanada1 50 38 76.0% .373549
33Michael KearneyConnecticut1 50 44 88.0% .214548
34Steve BahnamanNorth Carolina1 50 43 86.0% .240546
35Michael PatisonTexas1 50 39 78.0% .322534
36Dan BlakeNew York1 50 37 74.0% .364526
37Matthew HartMinnesota1 50 43 86.0% .190518
38Joey GoldmanUnited Kingdom1 50 35 70.0% .402517
39David CruickshankUnited Kingdom1 50 37 74.0% .327512
40Erik NickelsPennsylvania1 50 39 78.0% .274510
41Joshua FinkelsteinCanada1 50 36 72.0% .328497
42Eric ChangVirginia1 50 41 82.0% .188497
43Steven PerryPennsylvania1 50 43 86.0% .141494
44Sam RombroFlorida1 50 41 82.0% .185490
45Ryan RosenbergCalifornia1 50 38 76.0% .250487
46Kenny PeskinVirginia1 50 40 80.0% .190486
47Sameen BelalNew York1 50 39 78.0% .210481
48Joshua GrischowOhio1 50 37 74.0% .255477
49Josh HillArkansas1 50 39 78.0% .199477
50Daniel GalitskyDistrict of Columbia1 50 38 76.0% .218476
51Losha Ndemeno-TegomohMinnesota1 50 39 78.0% .173467
52Stephen OursVirginia1 50 39 78.0% .168463
53Jason LaiNew York1 50 42 84.0% .073452
54Jonathan RankinArkansas1 50 35 70.0% .251451
55Anthony ColangeloCanada1 50 40 80.0% .124451
56Nate KaneArizona1 50 35 70.0% .240447
57Nate BoughnerVirginia1 50 36 72.0% .208442
58Ken MitchellCalifornia1 50 39 78.0% .123442
59Andrew AlmasCanada1 50 34 68.0% .236432
60David DennisMissouri1 50 36 72.0% .106403
61McKinnie Lee SizemoreFlorida1 50 34 68.0% .148396
62Scott LatchemCalifornia1 50 34 68.0% .111380
63Tyler MillerNew York1 50 34 68.0% .111379
64Andrew FisherUnited Kingdom1 50 27 54.0% .253346
65Jeff XieTexas1 50 31 62.0% .102345
66Alan KreiselFlorida1 49 33 67.3% .038342
67Bailey AngleVirginia1 50 26 52.0% .239330
68Srikanth SrinivasaCalifornia1 50 27 54.0% .146312
69Mindy WongNew York1 50 29 58.0% .053308
70Anu KashyapCalifornia1 50 23 46.0% .035236
71John HannaNorth Carolina1 50 21 42.0% .063225
72James CarberryLouisiana1 50 14 28.0% .135160

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.

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