(3) #18 Starling Ultimate (15-4)

1674.5 (94)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
83 Autonomous** Win 15-0 0 88 0% Ignored (Why) Jul 29th TCT Select Flight East 2023
54 Stellar** Win 13-5 0 15 0% Ignored (Why) Jul 29th TCT Select Flight East 2023
55 Shiver** Win 15-3 0 39 0% Ignored (Why) Jul 29th TCT Select Flight East 2023
41 Heist** Win 15-4 0 33 0% Ignored (Why) Jul 30th TCT Select Flight East 2023
31 Rival Win 13-10 1.4 3 6.51% Counts Jul 30th TCT Select Flight East 2023
22 Siege Win 14-12 6.12 57 6.51% Counts Jul 30th TCT Select Flight East 2023
15 Iris Win 10-7 33.99 31 6.85% Counts Aug 12th Log Jam
15 Iris Win 11-10 15.43 31 7.24% Counts Aug 12th Log Jam
22 Siege Win 10-9 -0.63 57 7.24% Counts Aug 12th Log Jam
15 Iris Loss 6-11 -34.85 31 6.85% Counts Aug 13th Log Jam
15 Iris Win 11-9 31.68 31 8.96% Counts Sep 9th 2023 Womens West New England Sectional Championship
69 PLOW** Win 15-0 0 238 0% Ignored (Why) Sep 9th 2023 Womens West New England Sectional Championship
7 BENT Loss 7-15 -15.84 46 9.97% Counts (Why) Sep 23rd 2023 Northeast Womens Regional Championship
74 Frolic** Win 13-4 0 6 0% Ignored (Why) Sep 23rd 2023 Northeast Womens Regional Championship
15 Iris Loss 10-13 -28.29 31 9.97% Counts Sep 23rd 2023 Northeast Womens Regional Championship
69 PLOW** Win 15-1 0 238 0% Ignored (Why) Sep 23rd 2023 Northeast Womens Regional Championship
47 Vice Win 15-7 -13.98 57 9.97% Counts (Why) Sep 24th 2023 Northeast Womens Regional Championship
15 Iris Loss 12-13 -5.8 31 9.97% Counts Sep 24th 2023 Northeast Womens Regional Championship
22 Siege Win 14-12 9.74 57 9.97% Counts Sep 24th 2023 Northeast 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.