Season 6 Level A Week 5
Best Buzzes
If you played in this Buzzword competition and want to see your personal results, you will need to log in.
| # | Answer | Category | Player | Awards | Region | Celerity | Points |
|---|---|---|---|---|---|---|---|
| 1 | New York Yankees | Pop Culture & Sports | Jeff Frank |
  
| Indiana | .863 | 20 |
| 2 | Battle of Waterloo | History | Teddy Knox |
| Illinois | .849 | 20 |
| 3 | Wuthering Heights | Literature | Jeff Frank |
| Indiana | .822 | 20 |
| 4 | genus | Science & Math | Ramapriya Rangaraju |
  
| Kentucky | .795 | 20 |
| 5 | New Mexico | Current Events | Dan Puma |
| Illinois | .793 | 20 |
| 6 | Andrew Jackson | History | Eric Douglass |
| South Carolina | .855 | 20 |
| 7 | Ophelia | Literature | Matthew Grieco |
| New York | .737 | 19 |
| 8 | rubber(s) | Science & Math | Sarah Benner |
| Indiana | .540 | 17 |
| 9 | Old Town Road | Pop Culture & Sports | Sarah Benner |
| Indiana | .800 | 20 |
| 10 | Martin Luther | History | Joshua Grischow |
| Ohio | .889 | 20 |
| 11 | capital | Social Science | Jeff Frank |
| Indiana | .874 | 20 |
| 12 | volume | Science & Math | Michael Kettler |
| Ohio | .747 | 19 |
| 13 | Bambi | Pop Culture & Sports | Lars Melton |
| Virginia | .704 | 19 |
| 14 | Iran | Current Events | Wesley Mathews |
| Arizona | .689 | 18 |
| 15 | Abraham | Literature | Wesley Mathews |
| Arizona | .767 | 19 |
| 16 | molds | Science & Math | Teddy Knox |
| Illinois | .763 | 19 |
| 17 | Mumbai | Geography | Daniel Feitel |
| District of Columbia | .819 | 20 |
| 18 | Bill Clinton | History | Anu Kashyap |
| California | .870 | 20 |
| 19 | Halo | Pop Culture & Sports | Teddy Knox |
| Illinois | .778 | 20 |
| 20 | microscopes | Science & Math | Parikshit Chauhan |
| California | .816 | 20 |
| 21 | Mao Zedong | History | Ramapriya Rangaraju |
| Kentucky | .877 | 20 |
| 22 | Latin language | Literature | Eric Adams |
| Georgia | .808 | 20 |
| 23 | Tarot card(s) | Mixed & Miscellaneous | Myron Meyer |
| South Dakota | .790 | 20 |
| 24 | Claude Debussy | Fine Arts | Max Espensen |
| United Kingdom | .717 | 19 |
| 25 | Prague | History | Teddy Knox |
| Illinois | .893 | 20 |
| 26 | tide(s) | Science & Math | Michael Laudermith |
| Illinois | .835 | 20 |
| 27 | Canada | Current Events | Akosua Asante |
| Canada | .836 | 20 |
| 28 | fugues | Fine Arts | Max Espensen |
| United Kingdom | .819 | 20 |
| 29 | Othello | Literature | Ramapriya Rangaraju |
| Kentucky | .782 | 20 |
| 30 | Hera | Literature | Sean Jackson |
| South Carolina | .856 | 20 |
| 31 | New York City | Mixed & Miscellaneous | Dan Puma |
| Illinois | .820 | 20 |
| 32 | (sperm) whales | Literature | Teddy Knox |
| Illinois | .751 | 19 |
| 33 | Navajo(s) | History | Dan Puma |
| Illinois | .838 | 20 |
| 34 | Sydney | Fine Arts | Patrick Carthy |
| Europe | .829 | 20 |
| 35 | Jane (Morris) Goodall | Social Science | Anthony DiCarlo |
| California | .760 | 19 |
| 36 | (Arthur) Neville Chamberlain | History | Will Howells |
| United Kingdom | .825 | 20 |
| 37 | QAnon | Current Events | Chris Miller |
| Kentucky | .799 | 20 |
| 38 | New Jersey | Geography | Jeff Frank |
| Indiana | .820 | 20 |
| 39 | galaxy or galaxies | Science & Math | Max Espensen |
| United Kingdom | .807 | 20 |
| 40 | Our Town | Literature | Peter Schmidt |
| Pennsylvania | .759 | 19 |
| 41 | Attila the Hun | History | Natasha Baker-Bradley |
| Texas | .796 | 20 |
| 42 | Uganda | Geography | Wesley Mathews |
| Arizona | .823 | 20 |
| 43 | Venn diagrams | Science & Math | Justin Smalley | California | .888 | 20 | |
| 44 | Cyrano de Bergerac | Literature | Anu Kashyap |
| California | .770 | 20 |
| 45 | Copenhagen | Geography | Will Howells |
| United Kingdom | .800 | 20 |
| 46 | Vietnam War | History | Jeff Frank |
| Indiana | .882 | 20 |
| 47 | zero | Science & Math | Teddy Knox |
| Illinois | .781 | 20 |
| 48 | Francisco Goya | Fine Arts | Anu Kashyap |
| California | .724 | 19 |
| 49 | On the Road | Literature | Lee Henry |
| Alabama | .822 | 20 |
| 50 | silicon | Science & Math | Ramapriya Rangaraju |
| Kentucky | .868 | 20 |
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.