(2) #122 Illinois (12-8)

987.6 (51)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
219 Alabama-Birmingham** Win 10-3 0 24 0% Ignored (Why) Feb 10th College Womens Huckfest
174 Vanderbilt Win 11-7 0.39 32 6.11% Counts Feb 10th College Womens Huckfest
40 Union (Tennessee)** Loss 3-11 0 10 0% Ignored (Why) Feb 10th College Womens Huckfest
183 Alabama Win 11-5 2.37 28 5.76% Counts (Why) Feb 11th College Womens Huckfest
43 Alabama-Huntsville** Loss 1-11 0 4 0% Ignored (Why) Feb 11th College Womens Huckfest
63 Cincinnati Loss 6-10 0.87 5 5.76% Counts Feb 11th College Womens Huckfest
63 Cincinnati Loss 5-7 9.56 5 4.98% Counts Feb 11th College Womens Huckfest
149 Emory Win 7-4 17.68 17 5.36% Counts (Why) Feb 24th The Only Tenn I See Memorial Tournament
189 Georgia-B Win 10-3 0.38 32 6.15% Counts (Why) Feb 24th The Only Tenn I See Memorial Tournament
40 Union (Tennessee)** Loss 4-11 0 10 0% Ignored (Why) Feb 24th The Only Tenn I See Memorial Tournament
101 Tennessee-Chattanooga Loss 5-8 -15.32 17 5.82% Counts Feb 24th The Only Tenn I See Memorial Tournament
180 Auburn Win 13-2 5.73 33 7.04% Counts (Why) Feb 25th The Only Tenn I See Memorial Tournament
149 Emory Loss 7-9 -31.99 17 6.46% Counts Feb 25th The Only Tenn I See Memorial Tournament
66 Tennessee Loss 3-14 -11.57 9 7.04% Counts (Why) Feb 25th The Only Tenn I See Memorial Tournament
187 Washington University-B Win 6-3 -2.65 415 6.47% Counts (Why) Mar 30th Illinois Invite 2024
171 Michigan-B Win 6-0 11.58 53 6.29% Counts (Why) Mar 30th Illinois Invite 2024
216 Northwestern-B** Win 13-0 0 478 0% Ignored (Why) Mar 30th Illinois Invite 2024
160 Knox Win 8-7 -17.15 207 8.35% Counts Mar 30th Illinois Invite 2024
187 Washington University-B Win 15-1 1.55 415 9.4% Counts (Why) Mar 31st Illinois Invite 2024
160 Knox Win 12-5 28.43 207 9.02% Counts (Why) Mar 31st Illinois Invite 2024
**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.