(29) #242 Grace (9-12)

909.7 (389)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
300 Wisconsin-Stevens Point Win 11-7 11.91 389 4.75% Counts Mar 22nd Meltdown 2025
296 Loyola-Chicago Loss 7-8 -14.4 319 4.34% Counts Mar 22nd Meltdown 2025
163 Truman State Loss 2-13 -14.75 258 4.88% Counts (Why) Mar 22nd Meltdown 2025
208 Wisconsin-Whitewater Loss 4-7 -14.34 598 3.71% Counts Mar 23rd Meltdown 2025
300 Wisconsin-Stevens Point Win 7-3 13.65 389 3.54% Counts (Why) Mar 23rd Meltdown 2025
202 Eastern Michigan Loss 3-8 -18.89 309 4.02% Counts (Why) Mar 29th King of the Hill 2025
302 Western Michigan Win 12-6 18.56 274 5.03% Counts (Why) Mar 29th King of the Hill 2025
268 Michigan State-B Win 9-7 8.86 387 4.75% Counts Mar 29th King of the Hill 2025
114 Hillsdale Loss 6-8 8.32 604 4.44% Counts Mar 29th King of the Hill 2025
129 Asbury Loss 13-14 18.84 154 5.8% Counts Apr 12th Eastern Great Lakes D III Mens Conferences 2025
15 Davenport** Loss 5-15 0 79 0% Ignored (Why) Apr 12th Eastern Great Lakes D III Mens Conferences 2025
338 Rose-Hulman Win 15-4 14.36 490 5.8% Counts (Why) Apr 12th Eastern Great Lakes D III Mens Conferences 2025
240 Kalamazoo Win 14-11 19.77 5.8% Counts Apr 12th Eastern Great Lakes D III Mens Conferences 2025
338 Rose-Hulman Loss 9-10 -30.31 490 5.8% Counts Apr 13th Eastern Great Lakes D III Mens Conferences 2025
270 Valparaiso Win 13-6 30.66 118 5.8% Counts (Why) Apr 13th Eastern Great Lakes D III Mens Conferences 2025
338 Rose-Hulman Win 11-8 -0.08 490 5.8% Counts Apr 13th Eastern Great Lakes D III Mens Conferences 2025
15 Davenport** Loss 2-15 0 79 0% Ignored (Why) Apr 26th Great Lakes D III Mens Regionals 2025
114 Hillsdale Loss 4-15 -8.39 604 6.52% Counts (Why) Apr 26th Great Lakes D III Mens Regionals 2025
338 Rose-Hulman Win 14-7 15.05 490 6.52% Counts (Why) Apr 26th Great Lakes D III Mens Regionals 2025
240 Kalamazoo Loss 8-9 -7.72 6.16% Counts Apr 26th Great Lakes D III Mens Regionals 2025
297 Knox Loss 8-14 -51.21 473 6.52% Counts Apr 27th Great Lakes D III 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.