(21) #135 Grand Valley (11-8)

1371.15 (183)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
316 Calvin University** Win 13-2 0 620 0% Ignored (Why) Mar 16th Grand Rapids College Invite
270 Wisconsin-Platteville Win 13-3 4.84 439 5.15% Counts (Why) Mar 16th Grand Rapids College Invite
123 Oberlin Win 12-9 20.15 244 5.15% Counts Mar 16th Grand Rapids College Invite
110 Davenport Loss 6-11 -23.07 250 4.87% Counts Mar 17th Grand Rapids College Invite
151 Grace Win 13-2 29.37 289 5.15% Counts (Why) Mar 17th Grand Rapids College Invite
280 Western Michigan Win 13-4 3.12 326 5.15% Counts (Why) Mar 17th Grand Rapids College Invite
49 Michigan State Loss 8-13 -6.17 313 6.49% Counts Apr 13th Michigan D I Mens Conferences 2024
37 Michigan Loss 4-11 -5.41 319 5.96% Counts (Why) Apr 13th Michigan D I Mens Conferences 2024
280 Western Michigan Win 13-0 3.99 326 6.49% Counts (Why) Apr 13th Michigan D I Mens Conferences 2024
223 Eastern Michigan Win 10-7 3.83 506 6.14% Counts Apr 14th Michigan D I Mens Conferences 2024
223 Eastern Michigan Win 15-11 3.47 506 6.49% Counts Apr 14th Michigan D I Mens Conferences 2024
37 Michigan Loss 6-15 -5.93 319 6.49% Counts (Why) Apr 14th Michigan D I Mens Conferences 2024
61 Chicago Loss 8-14 -16.73 307 7.29% Counts Apr 27th Great Lakes D I College Mens Regionals 2024
49 Michigan State Loss 10-13 6.22 313 7.29% Counts Apr 27th Great Lakes D I College Mens Regionals 2024
357 Michigan State-B** Win 15-1 0 530 0% Ignored (Why) Apr 27th Great Lakes D I College Mens Regionals 2024
83 Indiana Loss 7-14 -29.3 311 7.29% Counts Apr 27th Great Lakes D I College Mens Regionals 2024
323 Purdue-B** Win 15-5 0 368 0% Ignored (Why) Apr 28th Great Lakes D I College Mens Regionals 2024
236 Loyola-Chicago Win 15-5 17.27 445 7.29% Counts (Why) Apr 28th Great Lakes D I College Mens Regionals 2024
118 Kentucky Loss 14-15 -6.31 113 7.29% Counts Apr 28th Great Lakes D I 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.