(2) #84 Ohio State (8-12)

1319.67 (51)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
96 Appalachian State Win 13-10 11.78 68 4% Counts Feb 1st Carolina Kickoff mens 2025
37 North Carolina-Wilmington Loss 8-13 -7.53 84 4% Counts Feb 1st Carolina Kickoff mens 2025
27 South Carolina Loss 10-13 5.49 50 4% Counts Feb 1st Carolina Kickoff mens 2025
96 Appalachian State Win 13-8 18.77 68 4% Counts Feb 2nd Carolina Kickoff mens 2025
45 Elon Loss 8-13 -8.78 22 4% Counts Feb 2nd Carolina Kickoff mens 2025
87 Temple Loss 12-15 -12.88 179 4% Counts Feb 2nd Carolina Kickoff mens 2025
97 Duke Loss 10-11 -8.55 42 4.75% Counts Feb 22nd Easterns Qualifier 2025
183 Kennesaw State Win 10-9 -15.17 74 4.75% Counts Feb 22nd Easterns Qualifier 2025
47 McGill Loss 4-10 -14.22 43 4.15% Counts (Why) Feb 22nd Easterns Qualifier 2025
32 Virginia Loss 9-13 -2.91 9 4.75% Counts Feb 22nd Easterns Qualifier 2025
69 Auburn Win 15-8 33.61 76 4.75% Counts (Why) Feb 23rd Easterns Qualifier 2025
88 Georgetown Loss 12-15 -15.54 78 4.75% Counts Feb 23rd Easterns Qualifier 2025
63 Notre Dame Win 15-8 35.16 277 4.75% Counts (Why) Feb 23rd Easterns Qualifier 2025
100 Missouri Loss 8-10 -20.86 133 6.18% Counts Mar 29th Huck Finn 2025
154 Macalester Win 14-11 2.48 6 6.34% Counts Mar 29th Huck Finn 2025
103 Texas A&M Win 12-9 18.04 133 6.34% Counts Mar 29th Huck Finn 2025
42 Stanford Loss 6-13 -20.48 27 6.34% Counts (Why) Mar 29th Huck Finn 2025
67 Indiana Loss 10-11 -0.1 51 6.34% Counts Mar 30th Huck Finn 2025
82 St Olaf Win 12-9 23.49 9 6.34% Counts Mar 30th Huck Finn 2025
103 Texas A&M Loss 6-8 -21.86 133 5.45% Counts Mar 30th Huck Finn 2025
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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.