() #10 Schwa (11-8) NW 3

1851.35 (18)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
26 Seattle END** Win 13-5 0 14 0% Ignored (Why) Jun 25th Eugene Summer Solstice 2022
1 Fury Loss 7-11 15.59 16 4.41% Counts Jun 25th Eugene Summer Solstice 2022
47 Seven Devils** Win 12-3 0 12 0% Ignored (Why) Jun 25th Eugene Summer Solstice 2022
3 Flipside Loss 5-11 -6 16 4.16% Counts (Why) Jun 25th Eugene Summer Solstice 2022
22 Underground Win 13-6 8.13 14 4.53% Counts (Why) Jun 26th Eugene Summer Solstice 2022
- Oregon Downpour Loss 8-9 -14.45 15 4.29% Counts Jun 26th Eugene Summer Solstice 2022
6 6ixers Loss 7-15 -27.68 16 7.72% Counts (Why) Sep 3rd TCT Pro Championships 2022
7 Brute Squad Loss 9-15 -25.06 20 7.72% Counts Sep 3rd TCT Pro Championships 2022
15 BENT Win 12-10 8.49 16 7.72% Counts Sep 4th TCT Pro Championships 2022
4 Phoenix Win 14-13 43.79 17 7.72% Counts Sep 4th TCT Pro Championships 2022
14 Nemesis Win 12-10 9.46 36 7.72% Counts Sep 4th TCT Pro Championships 2022
8 Traffic Loss 12-14 -5.37 18 7.72% Counts Sep 5th TCT Pro Championships 2022
8 Traffic Loss 7-13 -39.94 18 9.06% Counts Sep 24th 2022 Northwest Womens Regional Champioship
- Drift** Win 13-0 0 13 0% Ignored (Why) Sep 24th 2022 Northwest Womens Regional Champioship
67 Seattle Soul** Win 13-2 0 12 0% Ignored (Why) Sep 24th 2022 Northwest Womens Regional Champioship
26 Seattle END** Win 13-4 0 14 0% Ignored (Why) Sep 24th 2022 Northwest Womens Regional Champioship
8 Traffic Loss 10-14 -24.11 18 9.06% Counts Sep 25th 2022 Northwest Womens Regional Champioship
9 Seattle Riot Win 15-11 41.25 16 9.06% Counts Sep 25th 2022 Northwest Womens Regional Champioship
9 Seattle Riot Win 13-12 15.72 16 9.06% Counts Sep 25th 2022 Northwest Womens Regional Champioship
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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.