(9) #100 Arizona State (14-6)

1506.24 (406)

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# Opponent Result Effect % of Ranking Status Date Event
98 Northern Arizona Win 15-8 32.77 5.33% Jan 27th New Year Fest 2018
228 New Mexico** Win 13-4 0 0% Ignored Jan 27th New Year Fest 2018
197 Arizona-B Win 17-2 0.49 5.33% Jan 27th New Year Fest 2018
98 Northern Arizona Win 11-7 26.49 5.18% Jan 28th New Year Fest 2018
197 Arizona-B Win 13-3 0.49 5.33% Jan 28th New Year Fest 2018
164 UCLA-B Loss 7-8 -27.71 5.01% Feb 3rd 2018 Presidents Day Qualifying Tournament
35 Cal Poly-SLO Loss 3-13 -4.17 5.64% Feb 3rd 2018 Presidents Day Qualifying Tournament
242 California-Davis-B Win 7-5 -31.33 4.48% Feb 3rd 2018 Presidents Day Qualifying Tournament
189 Sonoma State Win 9-5 -1.91 4.84% Feb 3rd 2018 Presidents Day Qualifying Tournament
17 California-Santa Barbara** Loss 2-13 0 0% Ignored Feb 4th 2018 Presidents Day Qualifying Tournament
73 San Diego State Win 9-6 33.58 5.01% Feb 4th 2018 Presidents Day Qualifying Tournament
63 Arizona Loss 7-11 -10.86 5.49% Feb 4th 2018 Presidents Day Qualifying Tournament
176 Occidental Win 9-7 -18.24 7.76% Mar 24th Trouble in Vegas 2018
- Utah State** Win 7-2 0 0% Ignored Mar 24th Trouble in Vegas 2018
111 California-Irvine Win 5-4 3.22 5.82% Mar 24th Trouble in Vegas 2018
138 Santa Clara Win 10-3 28.18 7.39% Mar 24th Trouble in Vegas 2018
98 Northern Arizona Loss 6-7 -8.08 6.99% Mar 25th Trouble in Vegas 2018
73 San Diego State Loss 6-8 -6.5 7.26% Mar 25th Trouble in Vegas 2018
228 New Mexico Win 9-4 -17.19 6.99% Mar 25th Trouble in Vegas 2018
197 Arizona-B Win 7-0 0.57 6.13% Mar 25th Trouble in Vegas 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.