(13) #256 Illinois-B (8-12)

580.53 (41)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
124 Denver Loss 3-9 -1.62 36 4.53% Counts (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
45 Elon** Loss 2-11 0 22 0% Ignored (Why) Feb 15th 2025 Commonwealth Cup Weekend 1
187 North Carolina-B Loss 6-9 -6.89 79 4.87% Counts Feb 15th 2025 Commonwealth Cup Weekend 1
164 Ohio Loss 5-10 -9.08 115 4.87% Counts Feb 15th 2025 Commonwealth Cup Weekend 1
241 Michigan-B Win 9-6 24.57 180 4.87% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
255 Wake Forest Loss 5-7 -14.66 9 4.35% Counts Feb 16th 2025 Commonwealth Cup Weekend 1
309 Washington University-B Win 12-7 16.9 0 6.15% Counts (Why) Mar 1st Midwest Throwdown 2025
77 Iowa State** Loss 3-13 0 79 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
154 Macalester Loss 3-10 -7.81 6 5.37% Counts (Why) Mar 1st Midwest Throwdown 2025
250 Illinois State Loss 7-12 -31.99 59 6.15% Counts Mar 2nd Midwest Throwdown 2025
100 Missouri** Loss 1-13 0 133 0% Ignored (Why) Mar 2nd Midwest Throwdown 2025
161 Wisconsin-Eau Claire Loss 5-12 -12.31 47 5.9% Counts (Why) Mar 2nd Midwest Throwdown 2025
221 Wisconsin-B Win 13-6 47.82 102 6.15% Counts (Why) Mar 2nd Midwest Throwdown 2025
295 Loyola-Chicago Loss 4-6 -32.6 104 5.62% Counts Mar 29th Corny Classic College 2025
337 Purdue-B Win 9-7 -8.87 273 7.11% Counts Mar 29th Corny Classic College 2025
315 Wright State Win 9-5 17.04 20 6.65% Counts (Why) Mar 29th Corny Classic College 2025
133 Lipscomb Loss 4-13 -5.51 49 7.74% Counts (Why) Mar 29th Corny Classic College 2025
375 Ohio-B Win 9-4 -6.47 219 6.41% Counts (Why) Mar 30th Corny Classic College 2025
219 Missouri State Win 8-7 19.41 6.88% Counts Mar 30th Corny Classic College 2025
243 Toledo Win 7-6 12.62 238 6.41% Counts Mar 30th Corny Classic College 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.