() #44 Juice Box (13-7)

988.44 (50)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
75 Calypso Win 13-3 2.83 110 4.09% Counts (Why) Jul 8th Club Terminus 2023
17 Ozone** Loss 5-13 0 50 0% Ignored (Why) Jul 8th Club Terminus 2023
67 Magma Win 9-7 -4.33 82 3.76% Counts Jul 8th Club Terminus 2023
35 Huntsville Laika Loss 8-9 2.38 35 3.87% Counts Jul 9th Club Terminus 2023
61 Steel Win 12-5 13.3 19 3.93% Counts (Why) Jul 9th Club Terminus 2023
67 Magma Win 11-8 -1.05 82 4.09% Counts Jul 9th Club Terminus 2023
75 Calypso Win 13-6 3.75 110 5.34% Counts (Why) Aug 12th HoDown Showdown 2023
67 Magma Win 15-6 11.84 82 5.34% Counts (Why) Aug 12th HoDown Showdown 2023
72 KnoxFusion Win 15-5 5.92 44 5.34% Counts (Why) Aug 12th HoDown Showdown 2023
46 San Antonio Problems Win 14-8 28.62 38 5.34% Counts (Why) Aug 12th HoDown Showdown 2023
75 Calypso Win 9-8 -21.76 110 5.06% Counts Aug 13th HoDown Showdown 2023
55 Shiver Loss 7-10 -27.02 39 5.06% Counts Aug 13th HoDown Showdown 2023
46 San Antonio Problems Loss 10-15 -27.26 38 5.34% Counts Aug 13th HoDown Showdown 2023
55 Shiver Win 12-10 8.52 39 6.62% Counts Sep 9th 2023 Womens North Carolina Sectional Championship
58 Fiasco Win 12-11 -5.86 9 7.36% Counts Sep 23rd 2023 Southeast Womens Regional Championship
35 Huntsville Laika Loss 9-12 -12.81 35 7.36% Counts Sep 23rd 2023 Southeast Womens Regional Championship
17 Ozone** Loss 0-13 0 50 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
75 Calypso Win 15-7 5.28 110 7.36% Counts (Why) Sep 24th 2023 Southeast Womens Regional Championship
30 Tabby Rosa Loss 11-15 1.16 7 7.36% Counts Sep 24th 2023 Southeast Womens Regional Championship
67 Magma Win 13-3 16.66 82 7.36% Counts (Why) Sep 24th 2023 Southeast 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.