Pop Music Special
Standings
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| # | Player | Region | Grade | Games | TUH | # Correct | % Correct | Average Correct Celerity | Score |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Benjamin Kitchen | Massachusetts | Sr. | 1 | 50 | 44 | 88.0% | .478 | 691 |
| 2 | William Golden | Texas | So. | 1 | 50 | 46 | 92.0% | .387 | 668 |
| 3 | Tomás Aguilar-Fraga | California | So. | 1 | 50 | 45 | 90.0% | .383 | 652 |
| 4 | Olivia Kiser | Illinois | Grad. | 1 | 50 | 43 | 86.0% | .408 | 637 |
| 5 | Wonyoung Jang | Illinois | Jr. | 1 | 50 | 43 | 86.0% | .389 | 627 |
| 6 | James Lefkowitz | Maryland | Sr. | 1 | 50 | 46 | 92.0% | .308 | 626 |
| 7 | Michael Coates | California | Grad. | 1 | 50 | 46 | 92.0% | .314 | 625 |
| 8 | Jeremy Tsai | Maryland | Grad. | 1 | 50 | 45 | 90.0% | .305 | 609 |
| 9 | Mazin Omer | Massachusetts | So. | 1 | 50 | 44 | 88.0% | .321 | 604 |
| 10 | Simone Valade | Canada | Grad. | 1 | 50 | 43 | 86.0% | .320 | 590 |
| 11 | Nathan Finn | New York | So. | 1 | 50 | 44 | 88.0% | .281 | 581 |
| 12 | Matt D'Annunzio | Connecticut | Fr. | 1 | 50 | 42 | 84.0% | .303 | 568 |
| 13 | Harley Andrew | Florida | 5th-Yr. Sr. | 1 | 50 | 41 | 82.0% | .334 | 565 |
| 14 | Henry Atkins | Canada | Grad. | 1 | 50 | 41 | 82.0% | .302 | 553 |
| 15 | Alec Chao | Florida | Jr. | 1 | 50 | 44 | 88.0% | .215 | 547 |
| 16 | Simon Sweeney | Pennsylvania | So. | 1 | 50 | 38 | 76.0% | .361 | 540 |
| 17 | Chauncey Lo | New York | Jr. | 1 | 50 | 41 | 82.0% | .260 | 529 |
| 18 | Bethany Norman | Georgia | Jr. | 1 | 50 | 43 | 86.0% | .185 | 523 |
| 19 | Darren Petrosino | New Jersey | So. | 1 | 50 | 37 | 74.0% | .339 | 515 |
| 20 | Collin Ace | New Jersey | So. | 1 | 50 | 42 | 84.0% | .202 | 515 |
| 21 | Aryaman Jaiswal | Missouri | Fr. | 1 | 50 | 38 | 76.0% | .284 | 507 |
| 22 | Jake Karwoski | Pennsylvania | So. | 1 | 50 | 37 | 74.0% | .311 | 504 |
| 23 | Natan Holtzman | California | Grad. | 1 | 50 | 38 | 76.0% | .272 | 501 |
| 24 | Adrian Wong | Canada | So. | 1 | 50 | 40 | 80.0% | .221 | 496 |
| 25 | Ali Saeed | California | Sr. | 1 | 50 | 35 | 70.0% | .339 | 491 |
| 26 | Mara Russell | New York | Jr. | 1 | 50 | 39 | 78.0% | .213 | 482 |
| 27 | Logan Anbinder | Maryland | Grad. | 1 | 50 | 38 | 76.0% | .229 | 477 |
| 28 | Abbey Wilson | Canada | So. | 1 | 50 | 37 | 74.0% | .197 | 454 |
| 29 | Brandon Roe | Pennsylvania | Sr. | 1 | 50 | 34 | 68.0% | .289 | 453 |
| 30 | Sarah Benner | Indiana | Sr. | 1 | 50 | 33 | 66.0% | .305 | 446 |
| 31 | Connor Mayers | Maryland | Fr. | 1 | 50 | 32 | 64.0% | .271 | 416 |
| 32 | Lalit Maharjan | Indiana | Sr. | 1 | 50 | 33 | 66.0% | .226 | 415 |
| 33 | Swapnil Garg | Massachusetts | Jr. | 1 | 50 | 34 | 68.0% | .144 | 395 |
| 34 | Connor Hibbard | New York | So. | 1 | 50 | 32 | 64.0% | .181 | 381 |
| 35 | Alex "Bolsillo" Sankaran | Pennsylvania | Sr. | 1 | 50 | 30 | 60.0% | .222 | 375 |
| 36 | Olivia Lamberti | California | So. | 1 | 50 | 30 | 60.0% | .215 | 373 |
| 37 | Eric Li | Massachusetts | Sr. | 1 | 50 | 30 | 60.0% | .218 | 371 |
| 38 | Rohith Nagari | California | Grad. | 1 | 50 | 32 | 64.0% | .140 | 371 |
| 39 | Chandler West | Tennessee | Grad. | 1 | 50 | 28 | 56.0% | .277 | 370 |
| 40 | Siddarth Kumar | Indiana | So. | 1 | 50 | 31 | 62.0% | .162 | 369 |
| 41 | Sam German | Minnesota | Sr. | 1 | 50 | 29 | 58.0% | .209 | 361 |
| 42 | Lilly Chin | Massachusetts | Grad. | 1 | 50 | 29 | 58.0% | .192 | 353 |
| 43 | Henry Blyth | Ohio | Fr. | 1 | 50 | 27 | 54.0% | .244 | 345 |
| 44 | Noah McThenia | North Carolina | Sr. | 1 | 50 | 27 | 54.0% | .227 | 342 |
| 45 | Jacob Simmons | Illinois | Jr. | 1 | 50 | 26 | 52.0% | .157 | 307 |
| 46 | Jessica Chellino | Florida | Grad. | 1 | 50 | 24 | 48.0% | .245 | 304 |
| 47 | Raul Passement | Texas | So. | 1 | 50 | 22 | 44.0% | .301 | 294 |
| 48 | Jake Sundberg | Louisiana | Grad. | 1 | 50 | 27 | 54.0% | .091 | 293 |
| 49 | Craig Duke | Indiana | Grad. | 1 | 50 | 23 | 46.0% | .204 | 283 |
| 50 | Zane Placie | Georgia | Sr. | 1 | 50 | 22 | 44.0% | .123 | 250 |
| 51 | Di Xiao | Canada | Grad. | 1 | 50 | 17 | 34.0% | .135 | 195 |
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.