(17) #103 Marquette (14-5)

1453.26 (141)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
257 DePaul Win 13-4 0.2 269 5.13% Counts (Why) Mar 1st Midwest Throwdown 2025
297 Knox** Win 13-4 0 473 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
135 Wisconsin-Eau Claire Win 8-7 -0.33 337 4.56% Counts Mar 1st Midwest Throwdown 2025
238 Illinois State Win 13-5 3.86 312 5.13% Counts (Why) Mar 2nd Midwest Throwdown 2025
110 Iowa Loss 9-10 -8.36 201 5.13% Counts Mar 2nd Midwest Throwdown 2025
73 Iowa State Win 10-9 14.8 252 5.13% Counts Mar 2nd Midwest Throwdown 2025
93 Southern Illinois-Edwardsville Win 11-9 15.34 91 5.13% Counts Mar 2nd Midwest Throwdown 2025
423 Northern Michigan** Win 15-6 0 0% Ignored (Why) Apr 12th Lake Superior D I Mens Conferences 2025
135 Wisconsin-Eau Claire Win 12-9 16.71 337 7.26% Counts Apr 12th Lake Superior D I Mens Conferences 2025
300 Wisconsin-Stevens Point** Win 15-6 0 389 0% Ignored (Why) Apr 12th Lake Superior D I Mens Conferences 2025
155 Wisconsin-La Crosse Loss 10-11 -25.47 235 7.26% Counts Apr 12th Lake Superior D I Mens Conferences 2025
143 Wisconsin-Milwaukee Win 13-9 19.87 142 7.26% Counts Apr 13th Lake Superior D I Mens Conferences 2025
44 Wisconsin Loss 7-15 -21.61 149 7.26% Counts (Why) Apr 13th Lake Superior D I Mens Conferences 2025
176 Northern Iowa Win 13-12 -13.97 360 8.15% Counts Apr 26th North Central D I College Mens Regionals 2025
208 Wisconsin-Whitewater Win 13-11 -16.89 598 8.15% Counts Apr 26th North Central D I College Mens Regionals 2025
222 Wisconsin-B Win 15-8 9 279 8.15% Counts (Why) Apr 26th North Central D I College Mens Regionals 2025
44 Wisconsin Loss 10-15 -11.5 149 8.15% Counts Apr 26th North Central D I College Mens Regionals 2025
3 Carleton College** Loss 5-15 0 161 0% Ignored (Why) Apr 27th North Central D I College Mens Regionals 2025
155 Wisconsin-La Crosse Win 14-10 17.59 235 8.15% Counts Apr 27th North Central D I College Mens Regionals 2025
**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.