(1) #67 Magma (5-15)

598.14 (82)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
75 Calypso Win 8-6 7.16 110 4.35% Counts Jul 8th Club Terminus 2023
44 Juice Box Loss 7-9 5.42 50 4.66% Counts Jul 8th Club Terminus 2023
17 Ozone** Loss 1-13 0 50 0% Ignored (Why) Jul 8th Club Terminus 2023
58 Fiasco Win 8-7 14.94 9 4.51% Counts Jul 9th Club Terminus 2023
44 Juice Box Loss 8-11 1.32 50 5.07% Counts Jul 9th Club Terminus 2023
17 Ozone** Loss 0-13 0 50 0% Ignored (Why) Jul 9th Club Terminus 2023
75 Calypso Loss 9-10 -19.03 110 6.62% Counts Aug 12th HoDown Showdown 2023
44 Juice Box Loss 6-15 -14.87 50 6.62% Counts (Why) Aug 12th HoDown Showdown 2023
46 San Antonio Problems Loss 8-10 6.79 38 6.45% Counts Aug 12th HoDown Showdown 2023
55 Shiver Loss 8-12 -11.96 39 6.62% Counts Aug 12th HoDown Showdown 2023
72 KnoxFusion Loss 10-11 -16.31 44 6.62% Counts Aug 13th HoDown Showdown 2023
72 KnoxFusion Win 7-3 24.99 44 4.81% Counts (Why) Aug 13th HoDown Showdown 2023
72 KnoxFusion Win 12-9 21.47 44 8.2% Counts Sep 10th 2023 Womens East Coast Sectional Championship
75 Calypso Win 13-2 45.83 110 9.12% Counts (Why) Sep 23rd 2023 Southeast Womens Regional Championship
55 Shiver Loss 6-9 -12.88 39 8.1% Counts Sep 23rd 2023 Southeast Womens Regional Championship
2 Phoenix** Loss 1-13 0 68 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
30 Tabby Rosa** Loss 4-13 0 7 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
58 Fiasco Loss 7-12 -33.02 9 9.12% Counts Sep 24th 2023 Southeast Womens Regional Championship
44 Juice Box Loss 3-13 -21.05 50 9.12% Counts (Why) Sep 24th 2023 Southeast Womens Regional Championship
17 Ozone** Loss 4-15 0 50 0% Ignored (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.