(7) #37 Illinois (14-11)

1720.39 (34)

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# Opponent Result Effect % of Ranking Status Date Event
72 Alabama-Huntsville Win 13-7 11.02 3.32% Jan 26th T Town Throwdown
132 Kentucky Win 11-5 4.11 3.04% Jan 26th T Town Throwdown
24 Auburn Loss 4-11 -16.44 3.04% Jan 26th T Town Throwdown
27 LSU Loss 9-13 -12.39 3.32% Jan 26th T Town Throwdown
48 Kennesaw State Win 9-3 14.84 2.74% Jan 27th T Town Throwdown
24 Auburn Loss 9-10 -1.67 3.32% Jan 27th T Town Throwdown
106 Illinois State Win 15-12 -3.18 3.32% Jan 27th T Town Throwdown
16 Southern California Loss 1-10 -12.29 3.45% Feb 16th Presidents Day Invite 2019
42 British Columbia Loss 7-8 -6.24 3.51% Feb 16th Presidents Day Invite 2019
271 San Diego State** Win 12-3 0 0% Ignored Feb 17th Presidents Day Invite 2019
90 Santa Clara Win 9-6 3.09 3.51% Feb 17th Presidents Day Invite 2019
45 California-Santa Barbara Win 12-6 20.85 3.84% Feb 18th Presidents Day Invite 2019
76 Utah Loss 9-10 -15.26 3.94% Feb 18th Presidents Day Invite 2019
13 Wisconsin Loss 7-13 -14.48 4.97% Mar 16th Centex 2019 Men
12 Texas Loss 12-13 8.6 4.97% Mar 16th Centex 2019 Men
31 Texas A&M Loss 9-13 -20.43 4.97% Mar 16th Centex 2019 Men
40 Dartmouth Loss 13-15 -12.98 4.97% Mar 16th Centex 2019 Men
29 Texas-Dallas Win 13-12 9.23 4.97% Mar 17th Centex 2019 Men
31 Texas A&M Win 12-10 13.92 4.97% Mar 17th Centex 2019 Men
86 Marquette Win 11-6 14.06 5.28% Mar 30th Huck Finn XXIII
111 Washington University Win 11-2 10.42 5.12% Mar 30th Huck Finn XXIII
18 Michigan Loss 5-11 -22.21 5.12% Mar 31st Huck Finn XXIII
68 Cincinnati Win 10-6 15.71 5.12% Mar 31st Huck Finn XXIII
57 Carnegie Mellon Win 6-5 -0.36 4.24% Mar 31st Huck Finn XXIII
23 Texas Tech Win 8-7 12.3 4.96% Mar 31st Huck Finn XXIII
**Blowout Eligible

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.