(1) #66 Banshee (8-13)

625.96 (19)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
81 Stormborn Win 11-6 7.98 36 3.63% Counts (Why) Jun 24th Spirit of the Plains
97 Minnesota Superior A** Win 13-2 0 41 0% Ignored (Why) Jun 24th Spirit of the Plains
90 Twisted Womxn Win 13-0 3.11 38 3.84% Counts (Why) Jun 24th Spirit of the Plains
60 Wicked Loss 8-9 -1.06 24 3.63% Counts Jun 25th Spirit of the Plains
54 Stellar Win 8-7 13.28 15 3.41% Counts Jun 25th Spirit of the Plains
29 Pop Loss 3-7 5.05 6 2.78% Counts (Why) Jun 25th Spirit of the Plains
39 Brooklyn Book Club Loss 7-9 8.58 18 4.6% Counts Jul 29th TCT Select Flight East 2023
55 Shiver Win 11-8 32.2 39 5.01% Counts Jul 29th TCT Select Flight East 2023
54 Stellar Loss 5-12 -17.64 15 4.81% Counts (Why) Jul 29th TCT Select Flight East 2023
80 Notorious C.L.E. Win 15-9 10.16 23 5.01% Counts Jul 30th TCT Select Flight East 2023
62 Dish Loss 8-12 -19.22 38 5.01% Counts Jul 30th TCT Select Flight East 2023
50 Drift Loss 8-12 -8.03 21 5.01% Counts Jul 30th TCT Select Flight East 2023
60 Wicked Loss 8-9 -1.75 24 5.87% Counts Aug 26th Ragna Rock 2023
40 Hayride Loss 6-9 1.94 33 5.51% Counts Aug 26th Ragna Rock 2023
64 TWISTED Loss 4-5 -2.73 89 4.27% Counts Aug 26th Ragna Rock 2023
60 Wicked Loss 5-11 -30.36 24 5.69% Counts (Why) Aug 27th Ragna Rock 2023
35 Huntsville Laika Loss 5-10 -1.59 35 5.51% Counts Aug 27th Ragna Rock 2023
35 Huntsville Laika Loss 2-11 -3.22 35 5.69% Counts (Why) Aug 27th Ragna Rock 2023
60 Wicked Win 10-9 16.45 24 6.9% Counts Sep 9th 2023 Womens West Plains Sectional Championship
54 Stellar Loss 9-15 -19.61 15 6.9% Counts Sep 9th 2023 Womens West Plains Sectional Championship
90 Twisted Womxn Win 15-5 5.77 38 6.9% Counts (Why) Sep 9th 2023 Womens West Plains Sectional 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.