Fall 2022 Sports Week 1
Standings
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| # | Awards | Player | Region | Grade | # Correct | % Correct | Average Correct Celerity |
Std. Dev. Celerity | Score |
|---|---|---|---|---|---|---|---|---|---|
| 1 |
| Evan Knox | North Carolina | Grad. | 10 | 100.0% | .345 | .248 | 139 |
| 2 |
| Justin Hawkins | Indiana | Grad. | 10 | 100.0% | .262 | .257 | 131 |
| 3 |
 
| Jacob Simmons | Illinois | Grad. | 10 | 100.0% | .235 | .210 | 127 |
| 4 |
| Henry Blyth | Ohio | Jr. | 10 | 100.0% | .215 | .185 | 124 |
| 5 |
| Pranav Veluri | Indiana | Sr. | 9 | 90.0% | .269 | .246 | 118 |
| 6 |
| Casey Stafford | Illinois | Sr. | 9 | 90.0% | .260 | .267 | 118 |
| 7 |
| Siddarth Kumar | Indiana | Sr. | 9 | 90.0% | .264 | .249 | 117 |
| 8 |
| Jeff Xie | Texas | Grad. | 9 | 90.0% | .259 | .148 | 117 |
| 9 |
| Maximilian Niebur | Maryland | So. | 9 | 90.0% | .247 | .254 | 115 |
| 10 |
| Avi Mehta | Maryland | So. | 9 | 90.0% | .192 | .281 | 109 |
| 11 |
| Andrew Stockmann | Kansas | Grad. | 9 | 90.0% | .174 | .216 | 106 |
| 12 |
| David Snoddon | Canada | So. | 9 | 90.0% | .145 | .229 | 103 |
| 13 |
| Frank Grabowski | Pennsylvania | Jr. | 9 | 90.0% | .124 | .143 | 102 |
| 14 |
| Losha Ndemeno-Tegomoh | Minnesota | Grad. | 9 | 90.0% | .125 | .179 | 101 |
| 15 |
| Edward Fuhrer | Pennsylvania | So. | 8 | 80.0% | .216 | .219 | 99 |
| 16 |
| Connor Hibbard | New York | Sr. | 9 | 90.0% | .084 | .173 | 98 |
| 17 |
| Max Smiley | California | Grad. | 8 | 80.0% | .209 | .187 | 97 |
| 18 |
| Mitchell Rimerman | District of Columbia | Grad. | 8 | 80.0% | .192 | .133 | 96 |
| 19 |
| Connor Mayers | Maryland | Jr. | 8 | 80.0% | .171 | .150 | 94 |
| 20 |
| Charlie Hopewell | United Kingdom | So. | 8 | 80.0% | .151 | .223 | 94 |
| 21 |
| Seoan Webb | United Kingdom | Sr. | 7 | 70.0% | .285 | .248 | 92 |
| 22 |
| Di Xiao | Canada | Grad. | 8 | 80.0% | .134 | .132 | 91 |
| 23 |
| Brandon Jones | Alabama | Sr. | 7 | 70.0% | .167 | .181 | 81 |
| 24 |
| Jared Cubilla | Canada | Sr. | 7 | 70.0% | .124 | .160 | 78 |
| 25 |
| Kane Nguyen | Canada | Grad. | 6 | 60.0% | .184 | .191 | 73 |
| 26 |
| Mazin Omer | Massachusetts | Sr. | 6 | 60.0% | .115 | .209 | 66 |
| 27 |
| Tomás Aguilar-Fraga | California | Sr. | 6 | 60.0% | .100 | .154 | 66 |
| 28 |
| Garrison Page | Kentucky | Grad. | 6 | 60.0% | .071 | .075 | 64 |
| 29 |
| Jonathan Hunter | Florida | Fr. | 5 | 50.0% | .179 | .236 | 60 |
| 30 |
| Parth Jagtap | Canada | Sr. | 4 | 40.0% | .342 | .322 | 56 |
| 31 |
| Jessica Chellino | Florida | Grad. | 4 | 40.0% | .094 | .078 | 43 |
| 32 |
| Leo Law | Florida | Grad. | 2 | 20.0% | .149 | .386 | 23 |
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.