(8) #51 Tennessee (8-10)

1496.73 (82)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
21 North Carolina State Loss 6-13 -14.16 93 4.88% Counts (Why) Jan 25th Carolina Kickoff 2020
155 North Carolina-Asheville Win 11-5 4.71 130 4.48% Counts (Why) Jan 25th Carolina Kickoff 2020
153 Florida State Win 12-6 4.31 21 4.75% Counts (Why) Jan 25th Carolina Kickoff 2020
97 Richmond Win 8-7 -6.31 118 4.34% Counts Jan 25th Carolina Kickoff 2020
81 North Carolina-Charlotte Win 13-6 21.63 40 4.88% Counts (Why) Jan 26th Carolina Kickoff 2020
92 Duke Win 10-8 1.42 20 4.75% Counts Jan 26th Carolina Kickoff 2020
26 South Carolina Loss 6-15 -18.06 38 4.88% Counts (Why) Jan 26th Carolina Kickoff 2020
20 North Carolina-Wilmington Loss 7-10 -3.33 71 5.14% Counts Feb 8th Queen City Tune Up 2020 Open
119 Emory Win 10-5 10.71 14 4.83% Counts (Why) Feb 8th Queen City Tune Up 2020 Open
23 William & Mary Loss 4-12 -16.97 19 5.21% Counts (Why) Feb 8th Queen City Tune Up 2020 Open
58 Virginia Loss 8-9 -9.19 45 5.14% Counts Feb 9th Queen City Tune Up 2020 Open
11 Minnesota Loss 6-15 -7.49 71 6.72% Counts (Why) Mar 7th Smoky Mountain Invite 2020
13 Brown Loss 1-13 -12.16 90 6.72% Counts (Why) Mar 7th Smoky Mountain Invite 2020
30 Texas Win 10-7 40.17 31 6.36% Counts Mar 7th Smoky Mountain Invite 2020
29 Wisconsin Loss 11-13 -1.49 15 6.72% Counts Mar 7th Smoky Mountain Invite 2020
50 Purdue Win 12-10 17.21 188 6.72% Counts Mar 8th Smoky Mountain Invite 2020
21 North Carolina State Loss 8-15 -17.35 93 6.72% Counts Mar 8th Smoky Mountain Invite 2020
22 Georgia Loss 11-13 6.59 92 6.72% Counts Mar 8th Smoky Mountain Invite 2020
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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.