(13) #221 DePaul (5-13)

708.1 (56)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
29 Purdue** Loss 1-13 0 29 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
67 Colorado College** Loss 4-10 0 44 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
107 John Brown Loss 4-10 -9.94 9 5.72% Counts (Why) Mar 5th Midwest Throwdown 2022
317 Washington University-B Win 12-6 9.15 28 6.37% Counts (Why) Mar 5th Midwest Throwdown 2022
63 Northwestern** Loss 2-11 0 8 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
253 St John's Win 13-6 34.74 120 6.54% Counts (Why) Mar 6th Midwest Throwdown 2022
192 Wisconsin-Eau Claire Loss 12-13 -2.11 30 6.54% Counts Mar 6th Midwest Throwdown 2022
82 Missouri Loss 4-9 -3.03 23 6.82% Counts (Why) Apr 2nd Huck Finn 2022
59 Missouri S&T Loss 6-13 11.16 25 8.24% Counts (Why) Apr 2nd Huck Finn 2022
70 Chicago** Loss 1-5 0 18 0% Ignored (Why) Apr 2nd Huck Finn 2022
63 Northwestern** Loss 5-14 0 8 0% Ignored (Why) Apr 2nd Huck Finn 2022
235 Oklahoma Loss 6-10 -43.58 35 7.56% Counts Apr 3rd Huck Finn 2022
93 Kentucky Loss 4-15 -8.01 35 8.24% Counts (Why) Apr 3rd Huck Finn 2022
70 Chicago Loss 7-10 25.37 18 9.27% Counts Apr 23rd Illinois D I College Mens CC 2022
191 Illinois State Loss 4-10 -46.71 25 8.56% Counts (Why) Apr 23rd Illinois D I College Mens CC 2022
- University of Illinois at Chicago Win 9-6 11.67 45 8.71% Counts Apr 23rd Illinois D I College Mens CC 2022
230 Loyola-Chicago Win 9-6 37.77 21 8.71% Counts Apr 24th Illinois D I College Mens CC 2022
- University of Illinois at Chicago Win 8-7 -16.34 45 8.71% Counts Apr 24th Illinois D I College Mens CC 2022
**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.