(2) #188 Luther (12-7)

730.91 (60)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
121 John Brown Loss 6-13 -16.83 53 5.91% Counts (Why) Feb 25th Dust Bowl 2023
112 Missouri S&T Loss 7-11 -5.49 39 5.75% Counts Feb 25th Dust Bowl 2023
287 Kansas State** Win 13-3 0 27 0% Ignored (Why) Feb 25th Dust Bowl 2023
210 Texas-Dallas Loss 9-11 -23.31 34 5.91% Counts Feb 25th Dust Bowl 2023
217 Baylor Win 9-6 13.7 30 5.25% Counts Feb 26th Dust Bowl 2023
265 Oklahoma Win 10-9 -20.34 35 5.91% Counts Feb 26th Dust Bowl 2023
234 Texas-B Win 8-5 9.45 24 4.89% Counts (Why) Feb 26th Dust Bowl 2023
145 Truman State Loss 7-12 -18.65 41 6.26% Counts Mar 4th Midwest Throwdown 2023
65 Missouri Loss 6-13 0.38 44 6.26% Counts (Why) Mar 4th Midwest Throwdown 2023
301 Grinnell-B** Win 13-1 0 26 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
310 Wisconsin-Oshkosh** Win 13-2 0 25 0% Ignored (Why) Mar 5th Midwest Throwdown 2023
227 Northern Iowa Win 11-4 23.85 31 5.74% Counts (Why) Mar 5th Midwest Throwdown 2023
233 DePaul Win 12-4 21.33 14 6.01% Counts (Why) Mar 5th Midwest Throwdown 2023
264 Georgia Tech-B Win 13-5 11.68 183 7.02% Counts (Why) Mar 18th College Southerns XXI
238 Georgia College Win 13-7 21.23 7.02% Counts (Why) Mar 18th College Southerns XXI
- Florida Gulf Coast University Win 13-8 -2.1 7.02% Counts Mar 18th College Southerns XXI
151 Carleton College-CHOP Loss 8-15 -25.44 24 7.02% Counts Mar 19th College Southerns XXI
207 Georgia-B Win 12-7 31.79 7.02% Counts (Why) Mar 19th College Southerns XXI
148 East Carolina Loss 9-15 -21.32 7.02% Counts Mar 19th College Southerns XXI
**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.