(11) #44 Illinois (15-12)

1589.03 (109)

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# Opponent Result Effect % of Ranking Status Date Event
145 Drexel Win 12-6 4.43 3.08% Feb 3rd Mid Atlantic Warmup 2018
109 Williams Win 13-9 4.11 3.16% Feb 3rd Mid Atlantic Warmup 2018
227 Syracuse** Win 13-2 0 0% Ignored Feb 3rd Mid Atlantic Warmup 2018
34 William & Mary Win 11-8 13.87 3.16% Feb 3rd Mid Atlantic Warmup 2018
78 Georgetown Win 14-8 11.82 3.16% Feb 4th Mid Atlantic Warmup 2018
102 Richmond Win 15-14 -4.48 3.16% Feb 4th Mid Atlantic Warmup 2018
48 Dartmouth Win 13-11 6.7 3.16% Feb 4th Mid Atlantic Warmup 2018
67 Utah Loss 8-13 -23.08 3.55% Feb 17th Presidents Day Invitational Tournament 2018
3 Oregon Loss 8-13 3.81 3.55% Feb 17th Presidents Day Invitational Tournament 2018
59 Santa Clara Win 13-7 17.23 3.55% Feb 17th Presidents Day Invitational Tournament 2018
53 UCLA Win 12-11 2.59 3.55% Feb 17th Presidents Day Invitational Tournament 2018
24 Western Washington Loss 10-13 -6.44 3.55% Feb 18th Presidents Day Invitational Tournament 2018
5 Washington Loss 6-13 -5.06 3.55% Feb 18th Presidents Day Invitational Tournament 2018
59 Santa Clara Win 11-9 5.88 3.55% Feb 19th Presidents Day Invitational Tournament 2018
148 San Diego State Win 11-7 0.89 3.45% Feb 19th Presidents Day Invitational Tournament 2018
60 Cornell Win 15-4 17.81 3.55% Feb 19th Presidents Day Invitational Tournament 2018
82 Oklahoma State Loss 11-12 -13.52 4.22% Mar 10th Mens Centex 2018
58 Kansas Win 10-7 12.54 3.99% Mar 10th Mens Centex 2018
68 Baylor Win 10-8 5.5 4.11% Mar 10th Mens Centex 2018
14 Florida Loss 7-13 -11.44 4.22% Mar 10th Mens Centex 2018
4 Minnesota Loss 9-14 0.31 4.22% Mar 11th Mens Centex 2018
27 Texas State Win 15-8 30.71 4.22% Mar 11th Mens Centex 2018
17 Colorado State Loss 6-14 -14.07 4.22% Mar 11th Mens Centex 2018
51 Ohio State Loss 8-12 -26.02 5.02% Mar 31st Huck Finn 2018
39 Northwestern Loss 10-15 -21.87 5.02% Mar 31st Huck Finn 2018
29 Texas Loss 11-12 -0.15 5.02% Mar 31st Huck Finn 2018
62 Vermont Loss 10-11 -13.11 5.02% Mar 31st Huck Finn 2018
**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.