() #3 Oregon (20-2) NW 1

2188.77 (21)

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# Opponent Result Effect % of Ranking Status Date Event
44 Illinois Win 13-8 -4.3 3.99% Feb 17th Presidents Day Invitational Tournament 2018
59 Santa Clara Win 13-8 -8.01 3.99% Feb 17th Presidents Day Invitational Tournament 2018
53 UCLA Win 13-10 -13.55 3.99% Feb 17th Presidents Day Invitational Tournament 2018
67 Utah Win 13-8 -9.74 3.99% Feb 17th Presidents Day Invitational Tournament 2018
60 Cornell Win 14-7 -5.51 3.99% Feb 18th Presidents Day Invitational Tournament 2018
20 Cal Poly-SLO Win 15-10 4.48 3.99% Feb 18th Presidents Day Invitational Tournament 2018
24 Western Washington Win 12-7 3.07 3.99% Feb 18th Presidents Day Invitational Tournament 2018
32 California Win 13-10 -6.85 3.99% Feb 19th Presidents Day Invitational Tournament 2018
20 Cal Poly-SLO Win 12-9 -0.01 3.99% Feb 19th Presidents Day Invitational Tournament 2018
13 Wisconsin Win 13-9 6.88 4.48% Mar 3rd Stanford Invite 2018
19 Colorado Win 13-5 12.28 4.48% Mar 3rd Stanford Invite 2018
22 Tufts Win 13-6 7.56 4.48% Mar 3rd Stanford Invite 2018
1 North Carolina Loss 14-15 1.48 4.48% Mar 4th Stanford Invite 2018
20 Cal Poly-SLO Win 13-9 3.42 4.48% Mar 4th Stanford Invite 2018
5 Washington Win 13-11 4.29 4.48% Mar 4th Stanford Invite 2018
18 Brigham Young Win 15-8 12.9 5.32% Mar 23rd NW Challenge 2018
5 Washington Loss 13-15 -19.76 5.32% Mar 23rd NW Challenge 2018
55 Oregon State Win 13-6 -3.97 5.32% Mar 24th NW Challenge 2018
15 Stanford Win 13-7 14.3 5.32% Mar 24th NW Challenge 2018
17 Colorado State Win 13-11 -5.07 5.32% Mar 24th NW Challenge 2018
19 Colorado Win 15-12 -2.1 5.32% Mar 25th NW Challenge 2018
15 Stanford Win 15-10 8.46 5.32% Mar 25th NW Challenge 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.