(6) #345 Illinois-B (4-14)

65.16 (0)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
325 Purdue-B Loss 5-12 -29.19 1 5.83% Counts (Why) Mar 5th Midwest Throwdown 2022
236 Macalester College Loss 5-6 23.26 54 4.62% Counts Mar 5th Midwest Throwdown 2022
162 Grinnell** Loss 1-12 0 42 0% Ignored (Why) Mar 5th Midwest Throwdown 2022
325 Purdue-B Win 9-8 15.47 1 5.75% Counts Mar 6th Midwest Throwdown 2022
310 Carleton College-Karls Loss 6-10 -15.52 19 5.58% Counts Mar 6th Midwest Throwdown 2022
173 Truman State** Loss 3-13 0 40 0% Ignored (Why) Mar 6th Midwest Throwdown 2022
230 Loyola-Chicago** Loss 5-13 0 21 0% Ignored (Why) Mar 26th Illinois Invite
244 North Park Loss 4-8 1.18 2 5.74% Counts Mar 26th Illinois Invite
296 Notre Dame-B Loss 6-7 12.35 5 5.98% Counts Mar 26th Illinois Invite
318 Knox Loss 7-9 -7.24 1 6.63% Counts Mar 27th Illinois Invite
339 Bradley Loss 9-10 -6.39 0 7.23% Counts Mar 27th Illinois Invite
339 Bradley Loss 6-7 -5.21 0 5.98% Counts Mar 27th Illinois Invite
325 Purdue-B Win 11-9 33.35 1 8.11% Counts Apr 9th Great Lakes Dev College Mens CC 2022
321 Northwestern-B Loss 7-9 -9.36 4 7.44% Counts Apr 9th Great Lakes Dev College Mens CC 2022
327 Indiana-B Win 8-7 18.6 16 7.21% Counts Apr 9th Great Lakes Dev College Mens CC 2022
328 Michigan State-B Loss 8-10 -13.94 7 7.9% Counts Apr 10th Great Lakes Dev College Mens CC 2022
325 Purdue-B Win 11-10 22.39 1 8.11% Counts Apr 10th Great Lakes Dev College Mens CC 2022
327 Indiana-B Loss 6-12 -39.85 16 7.9% Counts Apr 10th Great Lakes Dev College Mens CC 2022
**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.