(2) #47 Vice (11-9)

948.25 (57)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
69 PLOW Win 10-8 -8.22 238 5.36% Counts Jul 15th Boston Invite 2023
24 Sage Loss 4-13 -3.77 88 5.51% Counts (Why) Jul 15th Boston Invite 2023
42 Wave Loss 8-11 -16.12 48 5.51% Counts Jul 15th Boston Invite 2023
- Vintage Loss 8-9 4.83 15 5.21% Counts Jul 15th Boston Invite 2023
86 Versa** Win 12-4 0 8 0% Ignored (Why) Aug 5th Philly Open 2023
42 Wave Win 10-9 14.8 48 6.47% Counts Aug 5th Philly Open 2023
94 Dissent** Win 12-3 0 19 0% Ignored (Why) Aug 5th Philly Open 2023
63 Pine Baroness Win 11-7 14.46 24 6.29% Counts Aug 5th Philly Open 2023
73 Incline Win 10-8 -14.46 21 6.29% Counts Aug 6th Philly Open 2023
37 Agency Loss 7-10 -12.3 33 6.12% Counts Aug 6th Philly Open 2023
86 Versa** Win 13-1 0 8 0% Ignored (Why) Sep 9th 2023 Womens East New England Sectional Championship
57 Salty Win 13-7 41.3 108 8.44% Counts (Why) Sep 9th 2023 Womens East New England Sectional Championship
74 Frolic Win 12-8 -4.46 6 8.44% Counts Sep 9th 2023 Womens East New England Sectional Championship
22 Siege Loss 7-13 3.29 57 8.44% Counts Sep 9th 2023 Womens East New England Sectional Championship
95 Ignite** Win 13-5 0 118 0% Ignored (Why) Sep 23rd 2023 Northeast Womens Regional Championship
5 Brute Squad** Loss 1-13 0 44 0% Ignored (Why) Sep 23rd 2023 Northeast Womens Regional Championship
57 Salty Win 11-10 1.6 108 9.39% Counts Sep 23rd 2023 Northeast Womens Regional Championship
8 6ixers** Loss 1-15 0 68 0% Ignored (Why) Sep 23rd 2023 Northeast Womens Regional Championship
18 Starling Ultimate Loss 7-15 13.08 94 9.39% Counts (Why) Sep 24th 2023 Northeast Womens Regional Championship
39 Brooklyn Book Club Loss 7-11 -33.39 18 9.14% 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.