(15) #266 Wisconsin-Platteville (5-15)

811.27 (360)

Click on column to sort  • 
# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
148 Grand Valley Loss 10-14 3.28 213 4.49% Counts Mar 15th Grand Rapids Invite 2025
227 Michigan-B Loss 7-8 1.07 320 3.99% Counts Mar 15th Grand Rapids Invite 2025
222 Wisconsin-B Loss 8-13 -14.91 279 4.49% Counts Mar 15th Grand Rapids Invite 2025
292 Ball State Loss 6-8 -15.27 366 3.85% Counts Mar 16th Grand Rapids Invite 2025
178 Ohio Loss 7-15 -11.48 190 4.49% Counts (Why) Mar 16th Grand Rapids Invite 2025
147 Toronto Loss 7-15 -6.16 420 4.49% Counts (Why) Mar 16th Grand Rapids Invite 2025
384 Carthage Win 13-3 0.45 530 5.03% Counts (Why) Mar 29th Old Capitol Open 2025
418 Iowa State-B** Win 13-2 0 410 0% Ignored (Why) Mar 29th Old Capitol Open 2025
143 Wisconsin-Milwaukee Loss 10-12 12.68 142 5.03% Counts Mar 29th Old Capitol Open 2025
238 Illinois State Loss 9-12 -12.3 312 5.03% Counts Mar 30th Old Capitol Open 2025
253 St Thomas Win 13-5 34.55 557 5.03% Counts (Why) Mar 30th Old Capitol Open 2025
204 Winona State Loss 8-13 -13.86 332 5.03% Counts Mar 30th Old Capitol Open 2025
384 Carthage Win 10-7 -11.4 530 5.35% Counts Apr 12th Lake Superior D III Mens Conferences 2025
169 Michigan Tech Loss 13-15 10.69 141 5.65% Counts Apr 12th Lake Superior D III Mens Conferences 2025
169 Michigan Tech Loss 8-15 -11.65 141 6.34% Counts Apr 26th North Central D III College Mens Regionals 2025
72 St Olaf Loss 7-15 13.21 285 6.34% Counts (Why) Apr 26th North Central D III College Mens Regionals 2025
253 St Thomas Loss 8-13 -30.1 557 6.34% Counts Apr 26th North Central D III College Mens Regionals 2025
60 Carleton College-CHOP Loss 11-15 31.79 124 6.34% Counts Apr 27th North Central D III College Mens Regionals 2025
169 Michigan Tech Loss 8-15 -11.65 141 6.34% Counts Apr 27th North Central D III College Mens Regionals 2025
301 Luther Win 15-7 31.79 248 6.34% Counts (Why) Apr 27th North Central D III 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.