(12) #238 Illinois State (11-20)

924.53 (312)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
101 Berry Loss 7-13 -0.46 255 2.3% Counts Jan 25th T Town Throwdown XX
284 Harding Win 13-6 10.3 225 2.3% Counts (Why) Jan 25th T Town Throwdown XX
393 Tennessee-Chattanooga -B** Win 13-1 0 229 0% Ignored (Why) Jan 25th T Town Throwdown XX
128 LSU Loss 5-13 -4.33 349 2.3% Counts (Why) Jan 25th T Town Throwdown XX
100 Alabama Loss 4-13 -1.39 227 2.3% Counts (Why) Jan 26th T Town Throwdown XX
171 Alabama-Birmingham Loss 5-11 -7.17 242 2.11% Counts (Why) Jan 26th T Town Throwdown XX
117 Mississippi State Loss 5-15 -3.52 264 2.3% Counts (Why) Jan 26th T Town Throwdown XX
93 Southern Illinois-Edwardsville Loss 5-9 0.92 91 2.64% Counts Mar 1st Midwest Throwdown 2025
422 Wisconsin-Eau Claire-B** Win 10-3 0 334 0% Ignored (Why) Mar 1st Midwest Throwdown 2025
110 Iowa Loss 4-13 -3.2 201 3.08% Counts (Why) Mar 1st Midwest Throwdown 2025
103 Marquette Loss 5-13 -2.26 141 3.08% Counts (Why) Mar 2nd Midwest Throwdown 2025
274 St John's (Minnesota) Loss 10-12 -11.86 236 3.08% Counts Mar 2nd Midwest Throwdown 2025
309 Washington University-B Win 12-8 5 323 3.08% Counts Mar 2nd Midwest Throwdown 2025
256 Illinois-B Win 12-7 14.49 280 3.08% Counts (Why) Mar 2nd Midwest Throwdown 2025
118 Colorado Mines Loss 9-13 1.19 183 3.87% Counts Mar 29th Old Capitol Open 2025
195 Minnesota-B Loss 7-13 -16.05 163 3.87% Counts Mar 29th Old Capitol Open 2025
135 Wisconsin-Eau Claire Loss 7-13 -6.48 337 3.87% Counts Mar 29th Old Capitol Open 2025
187 Nebraska Loss 6-13 -16.35 332 3.87% Counts (Why) Mar 30th Old Capitol Open 2025
266 Wisconsin-Platteville Win 12-9 9.36 360 3.87% Counts Mar 30th Old Capitol Open 2025
58 Illinois Loss 8-12 13.97 158 4.35% Counts Apr 12th Illinois D I Mens Conferences 2025
93 Southern Illinois-Edwardsville Loss 5-13 -1.68 91 4.35% Counts (Why) Apr 12th Illinois D I Mens Conferences 2025
308 Illinois-Chicago Win 11-10 -6.95 585 4.35% Counts Apr 12th Illinois D I Mens Conferences 2025
121 Northwestern Loss 9-15 -3.49 290 4.35% Counts Apr 12th Illinois D I Mens Conferences 2025
257 DePaul Win 9-8 2.47 269 4.11% Counts Apr 13th Illinois D I Mens Conferences 2025
308 Illinois-Chicago Win 7-6 -5.7 585 3.6% Counts Apr 13th Illinois D I Mens Conferences 2025
121 Northwestern Loss 9-12 4.25 290 4.35% Counts Apr 13th Illinois D I Mens Conferences 2025
49 Chicago** Loss 2-13 0 94 0% Ignored (Why) Apr 26th Great Lakes D I Mens Regionals 2025
93 Southern Illinois-Edwardsville Loss 5-13 -1.89 91 4.88% Counts (Why) Apr 26th Great Lakes D I Mens Regionals 2025
227 Michigan-B Loss 12-13 -4.49 320 4.88% Counts Apr 26th Great Lakes D I Mens Regionals 2025
256 Illinois-B Win 15-9 23.18 280 4.88% Counts Apr 27th Great Lakes D I Mens Regionals 2025
296 Loyola-Chicago Win 15-10 12.63 319 4.88% Counts Apr 27th Great Lakes D I Mens Regionals 2025
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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.