Soccer Special
Standings
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| # | Player | Region | Games | TUH | # Correct | % Correct | Average Correct Celerity | Score |
|---|---|---|---|---|---|---|---|---|
| 1 | Stephen Fontenot | Texas | 1 | 50 | 46 | 92.0% | .479 | 726 |
| 2 | Nathan Weiser | California | 1 | 50 | 42 | 84.0% | .555 | 704 |
| 3 | Joon Pahk | Massachusetts | 1 | 50 | 48 | 96.0% | .388 | 698 |
| 4 | Moses Mwesigwa Kitakule | Maryland | 1 | 50 | 45 | 90.0% | .444 | 689 |
| 5 | Neil Gurram | California | 1 | 50 | 46 | 92.0% | .418 | 688 |
| 6 | Dennis Beeby | Canada | 1 | 50 | 48 | 96.0% | .353 | 679 |
| 7 | Patrick Cleary | South Carolina | 1 | 50 | 45 | 90.0% | .411 | 669 |
| 8 | Matthew Kumar | United Kingdom | 1 | 50 | 45 | 90.0% | .394 | 660 |
| 9 | John Hawkes | Virginia | 1 | 50 | 45 | 90.0% | .366 | 644 |
| 10 | Josh Heit | Virginia | 1 | 50 | 47 | 94.0% | .319 | 643 |
| 11 | Patrick Carthy | Europe | 1 | 50 | 43 | 86.0% | .400 | 636 |
| 12 | Andrew Dupont | California | 1 | 50 | 47 | 94.0% | .294 | 629 |
| 13 | Joshua Levit | Massachusetts | 1 | 50 | 44 | 88.0% | .358 | 624 |
| 14 | Jonathan Suh | Illinois | 1 | 50 | 45 | 90.0% | .323 | 617 |
| 15 | Naveed Chowdhury | Georgia | 1 | 50 | 46 | 92.0% | .284 | 613 |
| 16 | Andrew Fanko | United Kingdom | 1 | 50 | 43 | 86.0% | .355 | 609 |
| 17 | Greg Peterson | Iowa | 1 | 50 | 44 | 88.0% | .333 | 609 |
| 18 | Andy Strange | Kentucky | 1 | 50 | 45 | 90.0% | .302 | 608 |
| 19 | Jared Michael Taylor | District of Columbia | 1 | 50 | 45 | 90.0% | .302 | 605 |
| 20 | Dan Puma | Illinois | 1 | 50 | 46 | 92.0% | .265 | 601 |
| 21 | Oliver Forrest | United Kingdom | 1 | 50 | 41 | 82.0% | .372 | 590 |
| 22 | David Kiang | Illinois | 1 | 50 | 43 | 86.0% | .321 | 590 |
| 23 | Evan Nagler | New York | 1 | 50 | 44 | 88.0% | .296 | 590 |
| 24 | Phillip Suitts | United States Territories | 1 | 50 | 42 | 84.0% | .346 | 588 |
| 25 | Mirza Ahmed | Connecticut | 1 | 50 | 44 | 88.0% | .297 | 588 |
| 26 | Sean Calhoun | South Dakota | 1 | 50 | 45 | 90.0% | .240 | 571 |
| 27 | Nathan Hamer | United Kingdom | 1 | 50 | 39 | 78.0% | .369 | 561 |
| 28 | Stephen Liu | California | 1 | 50 | 41 | 82.0% | .310 | 559 |
| 29 | Aaron Lichtig | Maryland | 1 | 50 | 43 | 86.0% | .254 | 557 |
| 30 | Greg Garbee | Florida | 1 | 50 | 39 | 78.0% | .355 | 552 |
| 31 | Michael Davies | Maryland | 1 | 50 | 44 | 88.0% | .223 | 551 |
| 32 | Paul Kasinski | Canada | 1 | 50 | 38 | 76.0% | .373 | 549 |
| 33 | Michael Kearney | Connecticut | 1 | 50 | 44 | 88.0% | .214 | 548 |
| 34 | Steve Bahnaman | North Carolina | 1 | 50 | 43 | 86.0% | .240 | 546 |
| 35 | Michael Patison | Texas | 1 | 50 | 39 | 78.0% | .322 | 534 |
| 36 | Dan Blake | New York | 1 | 50 | 37 | 74.0% | .364 | 526 |
| 37 | Matthew Hart | Minnesota | 1 | 50 | 43 | 86.0% | .190 | 518 |
| 38 | Joey Goldman | United Kingdom | 1 | 50 | 35 | 70.0% | .402 | 517 |
| 39 | David Cruickshank | United Kingdom | 1 | 50 | 37 | 74.0% | .327 | 512 |
| 40 | Erik Nickels | Pennsylvania | 1 | 50 | 39 | 78.0% | .274 | 510 |
| 41 | Joshua Finkelstein | Canada | 1 | 50 | 36 | 72.0% | .328 | 497 |
| 42 | Eric Chang | Virginia | 1 | 50 | 41 | 82.0% | .188 | 497 |
| 43 | Steven Perry | Pennsylvania | 1 | 50 | 43 | 86.0% | .141 | 494 |
| 44 | Sam Rombro | Florida | 1 | 50 | 41 | 82.0% | .185 | 490 |
| 45 | Ryan Rosenberg | California | 1 | 50 | 38 | 76.0% | .250 | 487 |
| 46 | Kenny Peskin | Virginia | 1 | 50 | 40 | 80.0% | .190 | 486 |
| 47 | Sameen Belal | New York | 1 | 50 | 39 | 78.0% | .210 | 481 |
| 48 | Joshua Grischow | Ohio | 1 | 50 | 37 | 74.0% | .255 | 477 |
| 49 | Josh Hill | Arkansas | 1 | 50 | 39 | 78.0% | .199 | 477 |
| 50 | Daniel Galitsky | District of Columbia | 1 | 50 | 38 | 76.0% | .218 | 476 |
| 51 | Losha Ndemeno-Tegomoh | Minnesota | 1 | 50 | 39 | 78.0% | .173 | 467 |
| 52 | Stephen Ours | Virginia | 1 | 50 | 39 | 78.0% | .168 | 463 |
| 53 | Jason Lai | New York | 1 | 50 | 42 | 84.0% | .073 | 452 |
| 54 | Jonathan Rankin | Arkansas | 1 | 50 | 35 | 70.0% | .251 | 451 |
| 55 | Anthony Colangelo | Canada | 1 | 50 | 40 | 80.0% | .124 | 451 |
| 56 | Nate Kane | Arizona | 1 | 50 | 35 | 70.0% | .240 | 447 |
| 57 | Nate Boughner | Virginia | 1 | 50 | 36 | 72.0% | .208 | 442 |
| 58 | Ken Mitchell | California | 1 | 50 | 39 | 78.0% | .123 | 442 |
| 59 | Andrew Almas | Canada | 1 | 50 | 34 | 68.0% | .236 | 432 |
| 60 | David Dennis | Missouri | 1 | 50 | 36 | 72.0% | .106 | 403 |
| 61 | McKinnie Lee Sizemore | Florida | 1 | 50 | 34 | 68.0% | .148 | 396 |
| 62 | Scott Latchem | California | 1 | 50 | 34 | 68.0% | .111 | 380 |
| 63 | Tyler Miller | New York | 1 | 50 | 34 | 68.0% | .111 | 379 |
| 64 | Andrew Fisher | United Kingdom | 1 | 50 | 27 | 54.0% | .253 | 346 |
| 65 | Jeff Xie | Texas | 1 | 50 | 31 | 62.0% | .102 | 345 |
| 66 | Alan Kreisel | Florida | 1 | 50 | 33 | 66.0% | .038 | 342 |
| 67 | Bailey Angle | Virginia | 1 | 50 | 26 | 52.0% | .239 | 330 |
| 68 | Srikanth Srinivasa | California | 1 | 50 | 27 | 54.0% | .146 | 312 |
| 69 | Mindy Wong | New York | 1 | 50 | 29 | 58.0% | .053 | 308 |
| 70 | Anu Kashyap | California | 1 | 50 | 23 | 46.0% | .035 | 236 |
| 71 | John Hanna | North Carolina | 1 | 50 | 21 | 42.0% | .063 | 225 |
| 72 | James Carberry | Louisiana | 1 | 50 | 14 | 28.0% | .135 | 160 |
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.