(2) #100 Just Add Water (1-20)

-181.15 (34)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
38 FAB** Loss 1-15 0 43 0% Ignored (Why) Jun 10th Bay Area Ultimate Classic 2023
21 LOL** Loss 2-15 0 6 0% Ignored (Why) Jun 10th Bay Area Ultimate Classic 2023
98 Ultraviolet Loss 8-11 -24.36 135 8.19% Counts Jun 10th Bay Area Ultimate Classic 2023
52 Void Cat Rewind** Loss 5-15 0 18 0% Ignored (Why) Jun 11th Bay Area Ultimate Classic 2023
89 Tempo Win 11-8 61.1 170 8.19% Counts Jun 11th Bay Area Ultimate Classic 2023
99 Off Their Rockers Loss 7-8 -8.02 129 7.27% Counts Jun 11th Bay Area Ultimate Classic 2023
38 FAB** Loss 1-11 0 43 0% Ignored (Why) Jul 15th TCT Select Flight West 2023
71 Jackwagon Loss 5-9 15.13 152 9.17% Counts Jul 15th TCT Select Flight West 2023
45 Rampage** Loss 0-11 0 7 0% Ignored (Why) Jul 15th TCT Select Flight West 2023
20 Wildfire** Loss 2-11 0 26 0% Ignored (Why) Jul 16th TCT Select Flight West 2023
87 Haboob Loss 5-12 -29.96 27 10.26% Counts (Why) Jul 16th TCT Select Flight West 2023
19 Dark Sky** Loss 0-13 0 98 0% Ignored (Why) Aug 19th Ski Town Classic 2023
58 Fiasco** Loss 0-12 0 9 0% Ignored (Why) Aug 19th Ski Town Classic 2023
51 Seven Devils** Loss 2-13 0 18 0% Ignored (Why) Aug 19th Ski Town Classic 2023
87 Haboob Loss 8-11 -4.5 27 13.95% Counts Aug 20th Ski Town Classic 2023
84 Seattle Soul Loss 8-9 49.47 22 13.2% Counts Aug 20th Ski Town Classic 2023
79 Swell Loss 5-12 -10.7 0 13.39% Counts (Why) Aug 20th Ski Town Classic 2023
68 Venom** Loss 2-10 0 59 0% Ignored (Why) Sep 9th 2023 Womens SoCal Sectional Championship
20 Wildfire** Loss 0-13 0 26 0% Ignored (Why) Sep 9th 2023 Womens SoCal Sectional Championship
87 Haboob Loss 6-13 -51.33 27 16.37% Counts (Why) Sep 9th 2023 Womens SoCal Sectional Championship
45 Rampage** Loss 1-13 0 7 0% Ignored (Why) Sep 9th 2023 Womens SoCal 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.