(18) #304 Luther College (5-14)

694.97 (447)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
78 Carleton College-CHOP Loss 7-13 22.46 255 6% Counts Mar 16th Southerns 2024
261 Georgia Tech-B Loss 6-13 -24.95 276 6% Counts (Why) Mar 16th Southerns 2024
94 Wisconsin-Eau Claire** Loss 0-13 0 285 0% Ignored (Why) Mar 16th Southerns 2024
78 Carleton College-CHOP** Loss 3-15 0 255 0% Ignored (Why) Mar 17th Southerns 2024
215 East Carolina Loss 6-12 -12.95 204 5.84% Counts Mar 17th Southerns 2024
418 Wisconsin-Eau Claire-B** Win 15-5 0 352 0% Ignored (Why) Mar 17th Southerns 2024
263 Illinois State Loss 7-13 -25.59 340 6.74% Counts Mar 30th Old Capitol Open 2024
368 Iowa State-B Win 11-6 17.18 431 6.37% Counts (Why) Mar 30th Old Capitol Open 2024
145 Southern Illinois-Edwardsville** Loss 4-13 0 271 0% Ignored (Why) Mar 30th Old Capitol Open 2024
227 St John's (Minnesota) Loss 7-12 -13.41 445 6.74% Counts Mar 30th Old Capitol Open 2024
227 St John's (Minnesota) Loss 4-13 -19.15 445 6.74% Counts (Why) Mar 31st Old Capitol Open 2024
320 Washington University-B Win 7-6 4.8 381 5.57% Counts Mar 31st Old Capitol Open 2024
193 Grinnell Loss 7-15 -11.48 309 7.56% Counts (Why) Apr 13th West Plains D III Mens Conferences 2024
78 Carleton College-CHOP** Loss 3-15 0 255 0% Ignored (Why) Apr 27th North Central D III College Mens Regionals 2024
193 Grinnell Loss 9-11 19.52 309 8.49% Counts Apr 27th North Central D III College Mens Regionals 2024
129 Michigan Tech Loss 7-15 8.08 208 8.49% Counts (Why) Apr 27th North Central D III College Mens Regionals 2024
278 St Thomas Loss 9-14 -30.4 724 8.49% Counts Apr 27th North Central D III College Mens Regionals 2024
362 Concordia-Wisconsin Win 15-6 31.83 431 8.49% Counts (Why) Apr 28th North Central D III College Mens Regionals 2024
270 Wisconsin-Platteville Win 15-13 35.2 439 8.49% 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.