(1) #15 Iris (12-7) NE 4

1747.14 (31)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
48 Venus Win 13-6 -10.68 27 5.05% Counts (Why) Jul 15th Boston Invite 2023
63 Pine Baroness** Win 13-5 0 24 0% Ignored (Why) Jul 15th Boston Invite 2023
- Rip Tide** Win 13-2 0 24 0% Ignored (Why) Jul 15th Boston Invite 2023
- Vintage Win 13-6 0.74 15 5.05% Counts (Why) Jul 15th Boston Invite 2023
42 Wave** Win 8-3 0 48 0% Ignored (Why) Jul 16th Boston Invite 2023
22 Siege Loss 10-11 -22.03 57 6.25% Counts Aug 12th Log Jam
18 Starling Ultimate Loss 7-10 -29.03 94 5.91% Counts Aug 12th Log Jam
22 Siege Win 13-8 19.36 57 6.25% Counts Aug 12th Log Jam
18 Starling Ultimate Loss 10-11 -13.17 94 6.25% Counts Aug 12th Log Jam
18 Starling Ultimate Win 11-6 29.77 94 5.91% Counts (Why) Aug 13th Log Jam
69 PLOW** Win 15-1 0 238 0% Ignored (Why) Sep 9th 2023 Womens West New England Sectional Championship
18 Starling Ultimate Loss 9-11 -26.97 94 7.73% Counts Sep 9th 2023 Womens West New England Sectional Championship
8 6ixers Loss 8-15 -19.39 68 8.6% Counts Sep 23rd 2023 Northeast Womens Regional Championship
74 Frolic** Win 13-5 0 6 0% Ignored (Why) Sep 23rd 2023 Northeast Womens Regional Championship
18 Starling Ultimate Win 13-10 24.05 94 8.6% Counts Sep 23rd 2023 Northeast Womens Regional Championship
22 Siege Win 15-9 29.16 57 8.6% Counts Sep 23rd 2023 Northeast Womens Regional Championship
8 6ixers Loss 11-15 -2.11 68 8.6% Counts Sep 24th 2023 Northeast Womens Regional Championship
5 Brute Squad Loss 11-15 16.43 44 8.6% Counts Sep 24th 2023 Northeast Womens Regional Championship
18 Starling Ultimate Win 13-12 4.93 94 8.6% 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.