2023 Popular Culture Week 30

Region Leaderboard

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# PlayerAwards # Correct % Correct Average
Correct
Celerity
Std. Dev.
Celerity
Score
1 Matthew Marcotte Top Ten RibbonGold TrophySilver Trophy 9 90.0% .392 .169131
2 Kyle Kahan Top Ten RibbonSilver TrophyRed Ribbon 10 100.0% .253 .159128
3 Anthony DiCarlo Blue RibbonBronze TrophyTop Ten Ribbon 9 90.0% .328 .266124
4 Lynn Yu Red RibbonTop Ten RibbonTop Five Ribbon 9 90.0% .276 .200118
5 Jack Rousseau Red RibbonSilver TrophyBronze Trophy 8 80.0% .393 .226117
6 Ozzie Fallick Red RibbonBlue RibbonRed Ribbon 9 90.0% .222 .233114
7 Max Smiley Red RibbonBronze TrophyTop Ten Ribbon 8 80.0% .341 .236112
8 Scott Latchem Red RibbonBlue RibbonBlue Ribbon 8 80.0% .324 .273111
9 Clifford Galiher Red RibbonBronze TrophyRed Ribbon 8 80.0% .315 .268109
10 Naveed Chowdhury Red RibbonBlue RibbonBlue Ribbon 9 90.0% .169 .172108
11 Tomás Aguilar-Fraga White RibbonRed RibbonRed Ribbon 9 90.0% .185 .120106
12 Paolo Pasco White RibbonBlue RibbonBlue Ribbon 8 80.0% .265 .161103
13 Daniel Jude White RibbonYellow RibbonYellow Ribbon 8 80.0% .242 .138102
14 Ryan Hemmel Yellow RibbonBlue RibbonRed Ribbon 7 70.0% .353 .12399
15 Daniel Chung Yellow RibbonGold TrophyBlue Ribbon 8 80.0% .228 .22699
16 Jenna Hull Yellow RibbonRed RibbonRed Ribbon 8 80.0% .180 .18296
17 Erik Nickels Yellow RibbonRed RibbonRed Ribbon 8 80.0% .207 .17595
18 Hidehiro Anto Green RibbonBlue RibbonRed Ribbon 8 80.0% .135 .16592
19 Andrew Dupont Green RibbonTop Five RibbonWhite Ribbon 7 70.0% .232 .21886
20 Andrey Goder White RibbonWhite RibbonYellow Ribbon 7 70.0% .205 .17085
21 Lauren Cusitello White RibbonYellow Ribbon 7 70.0% .141 .13380
22 James Kang Yellow RibbonGreen RibbonGreen Ribbon 7 70.0% .120 .13979
23 Mike Myers Red RibbonYellow RibbonGreen Ribbon 6 60.0% .228 .21975
24 Stephen Liu Blue RibbonYellow Ribbon 6 60.0% .202 .22874
25 Omar Sajjad Red RibbonWhite Ribbon 6 60.0% .161 .16869
26 Paul Campbell Red RibbonGreen Ribbon 6 60.0% .149 .20269
27 Ryan Rosenberg Green Ribbon 4 40.0% .177 .16048

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.

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