() #198 Illinois State (10-10)

745.95 (69)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
150 Kansas Loss 5-13 -20.43 57 5.04% Counts (Why) Feb 25th Dust Bowl 2023
271 Texas A&M-B Win 13-7 11.63 74 5.04% Counts (Why) Feb 25th Dust Bowl 2023
32 Oklahoma Christian Loss 6-10 18.68 67 4.63% Counts Feb 25th Dust Bowl 2023
278 Oklahoma Win 10-4 9.39 68 4.4% Counts (Why) Feb 25th Dust Bowl 2023
102 Missouri S&T Loss 8-11 3.41 68 5.04% Counts Feb 26th Dust Bowl 2023
147 Wichita State Loss 5-10 -16.27 73 4.48% Counts Feb 26th Dust Bowl 2023
187 North Texas Loss 6-9 -17.24 69 4.48% Counts Feb 26th Dust Bowl 2023
102 Missouri S&T Loss 3-12 -9.19 68 5.12% Counts (Why) Mar 4th Midwest Throwdown 2023
62 Northwestern** Loss 1-13 0 66 0% Ignored (Why) Mar 4th Midwest Throwdown 2023
291 Washington University-B Win 13-4 5.58 39 5.34% Counts (Why) Mar 4th Midwest Throwdown 2023
142 Carleton College-CHOP Win 8-7 18.55 35 4.74% Counts Mar 5th Midwest Throwdown 2023
95 Chicago Loss 6-12 -6.06 89 5.2% Counts Mar 5th Midwest Throwdown 2023
299 Northwestern-B Win 11-7 -5.21 11 5.2% Counts Mar 5th Midwest Throwdown 2023
160 Carthage Win 13-12 20.61 93 6.35% Counts Mar 25th Old Capitol Open
164 Michigan Tech Loss 10-12 -4.6 6.35% Counts Mar 25th Old Capitol Open
309 Minnesota-C Win 7-5 -15.48 318 5.05% Counts Mar 25th Old Capitol Open
210 Toledo Loss 7-10 -28.72 6.01% Counts Mar 25th Old Capitol Open
280 Ball State Win 9-6 0.7 5.64% Counts Mar 26th Old Capitol Open
297 Wisconsin-Stevens Point Win 13-3 3.04 13 6.35% Counts (Why) Mar 26th Old Capitol Open
210 Toledo Win 10-4 31.73 5.55% Counts (Why) Mar 26th Old Capitol Open
**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.