World History Reprise
Standings
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# | Player | Region | Games | TUH | # Correct | % Correct | Average Correct Celerity | Score |
---|---|---|---|---|---|---|---|---|
1 | Tejas Raje | Illinois | 1 | 50 | 45 | 90.0% | .643 | 800 |
2 | Iain Thoms | United Kingdom | 1 | 50 | 48 | 96.0% | .429 | 724 |
3 | Jean Cui | New York | 1 | 50 | 47 | 94.0% | .417 | 703 |
4 | Tom Kelso | New York | 1 | 50 | 47 | 94.0% | .355 | 662 |
5 | Garrett Johnston | Alabama | 1 | 50 | 42 | 84.0% | .442 | 638 |
6 | Michael McPartland | United Kingdom | 1 | 50 | 47 | 94.0% | .291 | 630 |
7 | Lorin Burte | Illinois | 1 | 50 | 41 | 82.0% | .407 | 606 |
8 | Martin Poteralski | Georgia | 1 | 50 | 43 | 86.0% | .348 | 604 |
9 | John Monahan | Europe | 1 | 50 | 41 | 82.0% | .399 | 602 |
10 | Craig Moysey | Canada | 1 | 50 | 44 | 88.0% | .276 | 576 |
11 | Jacob Shames | Minnesota | 1 | 50 | 46 | 92.0% | .224 | 571 |
12 | Akosua Asante | Canada | 1 | 50 | 43 | 86.0% | .267 | 564 |
13 | Andrew Fanko | United Kingdom | 1 | 50 | 43 | 86.0% | .258 | 555 |
14 | Sameen Belal | New York | 1 | 50 | 42 | 84.0% | .271 | 550 |
15 | Chris Becker | Maryland | 1 | 50 | 42 | 84.0% | .246 | 535 |
16 | Myron Meyer | South Dakota | 1 | 50 | 44 | 88.0% | .197 | 534 |
17 | Brian Hight | Michigan | 1 | 50 | 41 | 82.0% | .233 | 517 |
18 | Erik Eide | Canada | 1 | 50 | 40 | 80.0% | .249 | 515 |
19 | Anthony Walker-Pearson | Europe | 1 | 50 | 42 | 84.0% | .185 | 506 |
20 | David Cruickshank | United Kingdom | 1 | 50 | 38 | 76.0% | .286 | 505 |
21 | Michael Joy | Michigan | 1 | 50 | 38 | 76.0% | .279 | 500 |
22 | Robert Diethrich | Texas | 1 | 50 | 34 | 68.0% | .360 | 482 |
23 | Nic Mortimer | United Kingdom | 1 | 50 | 39 | 78.0% | .202 | 476 |
24 | Ye Han | Tennessee | 1 | 50 | 39 | 78.0% | .178 | 465 |
25 | Andrew Dupont | California | 1 | 50 | 40 | 80.0% | .146 | 460 |
26 | Elisabeth Evan | Ohio | 1 | 50 | 36 | 72.0% | .201 | 441 |
27 | Richard Wang | Canada | 1 | 50 | 35 | 70.0% | .222 | 437 |
28 | Jack Rousseau | California | 1 | 50 | 36 | 72.0% | .179 | 430 |
29 | Dana Thurmond | Florida | 1 | 50 | 37 | 74.0% | .139 | 421 |
30 | Jason Palmer | Ohio | 1 | 50 | 35 | 70.0% | .167 | 416 |
31 | Brock Stephenson | Canada | 1 | 50 | 29 | 58.0% | .346 | 405 |
32 | Ben Kopnick | Minnesota | 1 | 50 | 35 | 70.0% | .157 | 405 |
33 | Peter Schmidt | Pennsylvania | 1 | 45 | 28 | 62.2% | .286 | 373 |
34 | Rachel Gleyzer | New Jersey | 1 | 50 | 32 | 64.0% | .129 | 367 |
35 | Brian Morehouse | Connecticut | 1 | 50 | 31 | 62.0% | .128 | 353 |
36 | Nathaniel Hatfield | Kentucky | 1 | 50 | 31 | 62.0% | .123 | 348 |
37 | Shannon Jamison | Virginia | 1 | 50 | 30 | 60.0% | .139 | 345 |
38 | Steven Gallen | New Jersey | 1 | 50 | 28 | 56.0% | .080 | 303 |
39 | Tabita See | Florida | 1 | 50 | 30 | 60.0% | .000 | 300 |
40 | Peter Smith | Europe | 1 | 50 | 26 | 52.0% | .115 | 293 |
41 | Jenna Hull | California | 1 | 50 | 27 | 54.0% | .048 | 281 |
42 | Javas Lal | New Jersey | 1 | 50 | 23 | 46.0% | .147 | 263 |
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.