(2) #257 Wisconsin-B (8-12)

917.85 (357)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
106 Northwestern Loss 7-10 7.7 147 4.21% Counts Mar 2nd Midwest Throwdown 2024
161 Saint Louis Loss 4-12 -10.45 357 4.27% Counts (Why) Mar 2nd Midwest Throwdown 2024
134 Macalester Loss 7-8 13.55 226 3.95% Counts Mar 2nd Midwest Throwdown 2024
353 Carleton College-Karls-C Win 8-7 -12.28 282 3.95% Counts Mar 3rd Midwest Throwdown 2024
63 Iowa Loss 4-7 9.55 349 3.38% Counts Mar 3rd Midwest Throwdown 2024
294 Knox Win 10-9 -2.56 307 4.45% Counts Mar 3rd Midwest Throwdown 2024
110 Davenport Loss 3-13 -2.64 250 4.99% Counts (Why) Mar 16th Grand Rapids College Invite
151 Grace Loss 5-13 -10.83 289 4.99% Counts (Why) Mar 16th Grand Rapids College Invite
145 Southern Illinois-Edwardsville Loss 7-12 -5.6 271 4.99% Counts Mar 16th Grand Rapids College Invite
362 Concordia-Wisconsin Win 13-5 6.32 431 4.99% Counts (Why) Mar 17th Grand Rapids College Invite
282 Toledo Loss 6-9 -24.03 431 4.44% Counts Mar 17th Grand Rapids College Invite
270 Wisconsin-Platteville Win 8-6 10.87 439 4.28% Counts Mar 17th Grand Rapids College Invite
299 Minnesota-C Win 11-8 11.16 361 6.29% Counts Apr 13th North Central Dev Mens Conferences 2024
413 Marquette-B** Win 15-1 0 0% Ignored (Why) Apr 13th North Central Dev Mens Conferences 2024
368 Iowa State-B Win 15-8 3.2 431 6.29% Counts (Why) Apr 14th North Central Dev Mens Conferences 2024
122 Minnesota-B Loss 6-15 -7.87 323 6.29% Counts (Why) Apr 14th North Central Dev Mens Conferences 2024
299 Minnesota-C Win 14-8 25.58 361 7.06% Counts (Why) Apr 27th North Central D I College Mens Regionals 2024
36 Wisconsin Loss 8-15 31.24 248 7.06% Counts Apr 27th North Central D I College Mens Regionals 2024
184 Wisconsin-La Crosse Loss 10-14 -9.88 288 7.06% Counts Apr 27th North Central D I College Mens Regionals 2024
243 Nebraska Loss 8-13 -32.7 378 7.06% Counts Apr 28th North Central D I College Mens Regionals 2024
**Blowout Eligible. Learn more about how this works here.

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.