(59) #278 St Thomas (9-10)

841.12 (724)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
122 Minnesota-B Loss 8-11 12.64 323 6.12% Counts Mar 21st Minneapolis Makeup
63 Iowa** Loss 4-11 0 349 0% Ignored (Why) Mar 30th Old Capitol Open 2024
400 Iowa-B** Win 11-4 0 426 0% Ignored (Why) Mar 30th Old Capitol Open 2024
299 Minnesota-C Loss 4-12 -47.94 361 6.22% Counts (Why) Mar 30th Old Capitol Open 2024
337 Wisconsin-Stevens Point Win 9-7 0.25 475 5.95% Counts Mar 30th Old Capitol Open 2024
227 St John's (Minnesota) Loss 6-13 -28.51 445 6.48% Counts (Why) Mar 31st Old Capitol Open 2024
320 Washington University-B Loss 4-11 -49.96 381 5.95% Counts (Why) Mar 31st Old Capitol Open 2024
78 Carleton College-CHOP** Loss 4-15 0 255 0% Ignored (Why) Apr 13th Northwoods D III Mens Conferences 2024
134 Macalester Loss 10-13 15.92 226 7.28% Counts Apr 13th Northwoods D III Mens Conferences 2024
269 Winona State Win 11-10 11.6 7.28% Counts Apr 13th Northwoods D III Mens Conferences 2024
391 Bethel** Win 14-6 0 0% Ignored (Why) Apr 14th Northwoods D III Mens Conferences 2024
227 St John's (Minnesota) Win 13-11 32.77 445 7.28% Counts Apr 14th Northwoods D III Mens Conferences 2024
269 Winona State Win 13-10 27.54 7.28% Counts Apr 14th Northwoods D III Mens Conferences 2024
78 Carleton College-CHOP** Loss 1-15 0 255 0% Ignored (Why) Apr 27th North Central D III College Mens Regionals 2024
129 Michigan Tech Loss 4-15 -5.25 208 8.17% Counts (Why) Apr 27th North Central D III College Mens Regionals 2024
304 Luther College Win 14-9 29.15 447 8.17% Counts Apr 27th North Central D III College Mens Regionals 2024
362 Concordia-Wisconsin Win 11-5 15.96 431 7.5% Counts (Why) Apr 28th North Central D III College Mens Regionals 2024
193 Grinnell Loss 5-15 -25.48 309 8.17% Counts (Why) Apr 28th North Central D III College Mens Regionals 2024
270 Wisconsin-Platteville Win 15-14 12.82 439 8.17% Counts Apr 28th North Central D III College Mens Regionals 2024
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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.