(1) #61 Michigan State (22-8)

1658.64 (172)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
105 Boston University Win 12-5 9.41 282 2.35% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
236 Virginia Commonwealth Win 13-7 -4.38 415 2.45% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
115 RIT Win 13-3 8.17 291 2.45% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
78 Richmond Win 13-5 13.15 234 2.45% Counts (Why) Jan 25th Mid Atlantic Warm Up 2025
59 James Madison Loss 9-11 -5.98 212 2.45% Counts Jan 26th Mid Atlantic Warm Up 2025
111 Vermont-B Win 14-10 3.97 224 2.45% Counts Jan 26th Mid Atlantic Warm Up 2025
68 Alabama-Huntsville Loss 10-13 -10.7 166 2.91% Counts Feb 15th Queen City Tune Up 2025
82 Tennessee Loss 9-12 -13.74 92 2.91% Counts Feb 15th Queen City Tune Up 2025
12 Washington University Loss 6-13 -4.63 153 2.91% Counts (Why) Feb 15th Queen City Tune Up 2025
53 William & Mary Loss 8-9 -2.08 159 2.75% Counts Feb 16th Queen City Tune Up 2025
69 North Carolina-Charlotte Win 8-6 6.69 297 2.5% Counts Feb 16th Queen City Tune Up 2025
209 Cedarville Win 14-9 -5.84 419 3.67% Counts Mar 15th Grand Rapids Invite 2025
143 Wisconsin-Milwaukee Win 11-6 6.35 142 3.47% Counts (Why) Mar 15th Grand Rapids Invite 2025
178 Ohio Win 12-9 -5.58 190 3.67% Counts Mar 15th Grand Rapids Invite 2025
15 Davenport Win 12-11 20.03 79 3.67% Counts Mar 16th Grand Rapids Invite 2025
141 Pittsburgh-B Win 13-9 2.22 177 3.67% Counts Mar 16th Grand Rapids Invite 2025
79 Notre Dame Win 12-11 1.45 112 3.67% Counts Mar 16th Grand Rapids Invite 2025
202 Eastern Michigan Win 13-8 -5.01 309 4.62% Counts Apr 12th Michigan D I Mens Conferences 2025
148 Grand Valley Win 12-7 6.86 213 4.62% Counts (Why) Apr 12th Michigan D I Mens Conferences 2025
26 Michigan Loss 8-13 -11.03 274 4.62% Counts Apr 12th Michigan D I Mens Conferences 2025
302 Western Michigan** Win 13-4 0 274 0% Ignored (Why) Apr 12th Michigan D I Mens Conferences 2025
148 Grand Valley Win 12-8 3.02 213 4.62% Counts Apr 13th Michigan D I Mens Conferences 2025
302 Western Michigan** Win 15-4 0 274 0% Ignored (Why) Apr 13th Michigan D I Mens Conferences 2025
148 Grand Valley Win 14-11 -3.59 213 5.19% Counts Apr 26th Great Lakes D I Mens Regionals 2025
153 Kentucky Win 12-10 -8.48 213 5.19% Counts Apr 26th Great Lakes D I Mens Regionals 2025
26 Michigan Loss 8-13 -12.45 274 5.19% Counts Apr 26th Great Lakes D I Mens Regionals 2025
296 Loyola-Chicago** Win 13-0 0 319 0% Ignored (Why) Apr 26th Great Lakes D I Mens Regionals 2025
49 Chicago Win 14-13 11.76 94 5.19% Counts Apr 27th Great Lakes D I Mens Regionals 2025
58 Illinois Win 15-13 12.5 158 5.19% Counts Apr 27th Great Lakes D I Mens Regionals 2025
56 Indiana Loss 9-11 -12.53 236 5.19% Counts Apr 27th Great Lakes D I Mens Regionals 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.