(33) #369 Illinois-B (6-14)

360.32 (240)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
271 Cincinnati -B Loss 3-13 -5.71 151 5.27% Counts (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
182 Dayton** Loss 1-13 0 24 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
409 Denison Win 8-4 0.66 161 4.19% Counts (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
118 Kentucky** Loss 3-13 0 113 0% Ignored (Why) Mar 2nd The Dayton Ultimate Disc Experience The DUDE
402 Case Western Reserve-B Loss 8-10 -31.63 93 5.13% Counts Mar 3rd The Dayton Ultimate Disc Experience The DUDE
408 Dayton-B Win 12-5 4 166 5.06% Counts (Why) Mar 3rd The Dayton Ultimate Disc Experience The DUDE
222 Ball State** Loss 2-8 0 238 0% Ignored (Why) Mar 30th Illinois Invite 2024
294 Knox Loss 4-6 0.6 307 4.82% Counts Mar 30th Illinois Invite 2024
323 Purdue-B Loss 2-7 -16.7 368 4.82% Counts (Why) Mar 30th Illinois Invite 2024
282 Toledo Loss 4-8 -5.94 431 5.28% Counts Mar 30th Illinois Invite 2024
264 Wheaton (Illinois) Loss 3-7 -3.48 223 4.82% Counts (Why) Mar 30th Illinois Invite 2024
323 Purdue-B Loss 7-11 -13.59 368 6.47% Counts Mar 31st Illinois Invite 2024
282 Toledo Win 15-7 75.32 431 6.64% Counts (Why) Mar 31st Illinois Invite 2024
323 Purdue-B Win 11-10 28.14 368 6.64% Counts Mar 31st Illinois Invite 2024
395 Chicago-B Loss 7-9 -36.48 6.84% Counts Apr 13th Great Lakes Dev Mens Conferences 2024
363 Indiana-B Loss 6-7 -3.11 428 6.17% Counts Apr 13th Great Lakes Dev Mens Conferences 2024
389 Purdue-C Win 8-6 9.34 6.4% Counts Apr 13th Great Lakes Dev Mens Conferences 2024
254 Michigan-B Loss 4-10 -2.2 522 6.52% Counts (Why) Apr 13th Great Lakes Dev Mens Conferences 2024
395 Chicago-B Win 15-9 24.04 7.46% Counts Apr 14th Great Lakes Dev Mens Conferences 2024
373 Northwestern-B Loss 9-11 -22.33 538 7.46% Counts Apr 14th Great Lakes Dev Mens Conferences 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.