() #33 Seattle END (12-7)

1274.73 (45)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
27 Underground Loss 2-11 -21.66 8 4.6% Counts (Why) Jun 24th Summer Solstice 2023
50 Drift Win 11-7 5.5 21 4.88% Counts Jun 24th Summer Solstice 2023
77 Portland Rain Check** Win 11-1 0 49 0% Ignored (Why) Jun 24th Summer Solstice 2023
51 Seven Devils Win 9-7 -4.26 18 4.6% Counts Jun 24th Summer Solstice 2023
36 remix Win 8-7 0.79 10 4.46% Counts Jun 25th Summer Solstice 2023
9 Schwa** Loss 3-13 0 77 0% Ignored (Why) Jun 25th Summer Solstice 2023
28 Oregon Downpour Loss 6-13 -24.62 8 5.02% Counts (Why) Jun 25th Summer Solstice 2023
50 Drift Win 14-11 -4.61 21 9.02% Counts Sep 9th 2023 Womens Washington Sectional Championship
53 Hucklebears Win 15-11 -1.56 29 9.02% Counts Sep 9th 2023 Womens Washington Sectional Championship
77 Portland Rain Check** Win 15-2 0 49 0% Ignored (Why) Sep 9th 2023 Womens Washington Sectional Championship
27 Underground Win 14-8 68.14 8 9.02% Counts (Why) Sep 10th 2023 Womens Washington Sectional Championship
84 Seattle Soul** Win 15-4 0 22 0% Ignored (Why) Sep 10th 2023 Womens Washington Sectional Championship
19 Dark Sky Loss 6-11 -25.19 98 9.49% Counts Sep 23rd 2023 Northwest Womens Regional Championship
50 Drift Win 13-10 -3.53 21 10.04% Counts Sep 23rd 2023 Northwest Womens Regional Championship
77 Portland Rain Check** Win 13-2 0 49 0% Ignored (Why) Sep 23rd 2023 Northwest Womens Regional Championship
9 Schwa** Loss 4-13 0 77 0% Ignored (Why) Sep 23rd 2023 Northwest Womens Regional Championship
27 Underground Loss 7-11 -34.18 8 9.77% Counts Sep 24th 2023 Northwest Womens Regional Championship
9 Schwa Loss 7-15 25.32 77 10.04% Counts (Why) Sep 24th 2023 Northwest Womens Regional Championship
51 Seven Devils Win 15-8 22.01 18 10.04% Counts (Why) Sep 24th 2023 Northwest Womens Regional Championship
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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.