() #81 Stormborn (8-14)

291.05 (36)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
66 Banshee Loss 6-11 -10.12 19 4.56% Counts Jun 24th Spirit of the Plains
97 Minnesota Superior A Win 11-5 13.22 41 4.42% Counts (Why) Jun 24th Spirit of the Plains
29 Pop** Loss 1-13 0 6 0% Ignored (Why) Jun 24th Spirit of the Plains
60 Wicked Loss 7-12 -4.49 24 4.82% Counts Jun 25th Spirit of the Plains
54 Stellar Loss 4-9 -0.59 15 3.99% Counts (Why) Jun 25th Spirit of the Plains
90 Twisted Womxn Loss 5-7 -20.53 38 3.83% Counts Jun 25th Spirit of the Plains
41 Heist** Loss 5-13 0 33 0% Ignored (Why) Jul 8th Heavyweights 2023
54 Stellar Loss 8-13 5.09 15 5.36% Counts Jul 8th Heavyweights 2023
92 Sureshot Win 10-8 1.07 5 5.22% Counts Jul 8th Heavyweights 2023
102 Solstice** Win 13-2 0 2 0% Ignored (Why) Jul 8th Heavyweights 2023
62 Dish Loss 5-12 -10.22 38 5.15% Counts (Why) Jul 9th Heavyweights 2023
93 Freshwater Ultimate Win 13-6 20.08 44 5.36% Counts (Why) Jul 9th Heavyweights 2023
76 Medusa Win 11-8 29.29 34 5.36% Counts Jul 9th Heavyweights 2023
93 Freshwater Ultimate Loss 7-8 -26.03 44 6.56% Counts Aug 19th Cooler Classic 34
41 Heist Loss 7-13 15.35 33 7.39% Counts Aug 19th Cooler Classic 34
76 Medusa Win 7-5 29.89 34 5.87% Counts Aug 19th Cooler Classic 34
97 Minnesota Superior A Loss 9-10 -35.04 41 7.39% Counts Aug 19th Cooler Classic 34
62 Dish Loss 5-15 -15.01 38 7.39% Counts (Why) Aug 20th Cooler Classic 34
104 Minnesota Superior B** Win 15-4 0 56 0% Ignored (Why) Aug 20th Cooler Classic 34
93 Freshwater Ultimate Win 12-7 26.08 44 8.67% Counts (Why) Sep 9th 2023 Womens Northwest Plains Sectional Championship
41 Heist** Loss 2-15 0 33 0% Ignored (Why) Sep 9th 2023 Womens Northwest Plains Sectional Championship
76 Medusa Loss 9-12 -18.43 34 8.67% Counts Sep 9th 2023 Womens Northwest 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.