(1) #94 Appalachian State (11-13)

1372.43 (17)

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# Opponent Result Effect % of Ranking Status Date Event
62 Duke Loss 8-13 -12.02 3.65% Jan 25th Carolina Kickoff 2019
55 Florida State Loss 9-13 -6.78 3.65% Jan 26th Carolina Kickoff 2019
11 North Carolina State Loss 6-13 2.09 3.65% Jan 26th Carolina Kickoff 2019
73 Temple Loss 8-9 -0.59 3.45% Jan 26th Carolina Kickoff 2019
61 Tennessee Loss 9-13 -8.96 3.65% Jan 27th Carolina Kickoff 2019
61 Tennessee Win 10-9 13.09 4.09% Feb 9th Queen City Tune Up 2019 Men
40 Dartmouth Win 10-9 18.73 4.09% Feb 9th Queen City Tune Up 2019 Men
14 Ohio State Loss 6-12 1.67 3.98% Feb 9th Queen City Tune Up 2019 Men
1 North Carolina** Loss 2-13 0 0% Ignored Feb 9th Queen City Tune Up 2019 Men
52 Notre Dame Win 15-14 16.18 4.09% Feb 10th Queen City Tune Up 2019 Men
24 Auburn Loss 5-15 -7.49 4.09% Feb 10th Queen City Tune Up 2019 Men
40 Dartmouth Loss 13-15 4.26 4.09% Feb 10th Queen City Tune Up 2019 Men
253 Anderson Win 13-1 3.4 4.59% Feb 23rd Chucktown Throwdown XVI
257 Charleston Win 13-1 2.79 4.59% Feb 23rd Chucktown Throwdown XVI
256 Georgia-B Win 13-6 2.83 4.59% Feb 23rd Chucktown Throwdown XVI
253 Anderson Win 10-9 -19.46 4.59% Feb 24th Chucktown Throwdown XVI
108 North Carolina-Charlotte Loss 9-12 -18.91 4.59% Feb 24th Chucktown Throwdown XVI
173 Georgia College Win 12-6 16.47 5.63% Mar 23rd College Southerns XVIII
165 Georgia Southern Win 13-10 2.92 5.79% Mar 23rd College Southerns XVIII
321 Carleton Hot Karls** Win 13-4 0 0% Ignored Mar 23rd College Southerns XVIII
56 California-San Diego Loss 9-13 -12.18 5.79% Mar 23rd College Southerns XVIII
35 Middlebury Loss 8-15 -12.94 5.79% Mar 24th College Southerns XVIII
89 Luther Win 14-13 9.16 5.79% Mar 24th College Southerns XVIII
56 California-San Diego Loss 13-14 5.86 5.79% Mar 24th College Southerns XVIII
**Blowout Eligible

FAQ

The results on this page ("USAU") are the results of an implementation of the USA Ultimate Top 20 algorithm, which is used to allocate post season bids to both colleg and club ultimate teams. The data was obtained by scraping USAU's score reporting website. Learn more about the algorithm here. TL;DR, here is the rating function. Every game a team plays gets a rating equal to the opponents rating +/- the score value. With all these data points, we iterate team ratings until convergence. There is also a rule for discounting blowout games (see next FAQ)
For reference, here is handy table with frequent game scrores and the resulting game value:
"...if a team is rated more than 600 points higher than its opponent, and wins with a score that is more than twice the losing score plus one, the game is ignored for ratings purposes. However, this is only done if the winning team has at least N other results that are not being ignored, where N=5."

Translation: if a team plays a game where even earning the max point win would hurt them, they can have the game ignored provided they win by enough and have suffficient unignored results.