(8) #98 Just Add Water (1-20)

-215.48 (88)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
41 FAB** Loss 1-15 0 39 0% Ignored (Why) Jun 10th Bay Area Ultimate Classic 2023
21 LOL** Loss 2-15 0 269 0% Ignored (Why) Jun 10th Bay Area Ultimate Classic 2023
99 Ultraviolet Loss 8-11 -33.35 39 8.19% Counts Jun 10th Bay Area Ultimate Classic 2023
55 Void Cat Rewind** Loss 5-15 0 236 0% Ignored (Why) Jun 11th Bay Area Ultimate Classic 2023
96 Tempo Win 11-8 48.99 445 8.19% Counts Jun 11th Bay Area Ultimate Classic 2023
100 Off Their Rockers Loss 7-8 -15.48 171 7.27% Counts Jun 11th Bay Area Ultimate Classic 2023
41 FAB** Loss 1-11 0 39 0% Ignored (Why) Jul 15th TCT Select Flight West 2023
79 Jackwagon Loss 5-9 3.24 108 9.17% Counts Jul 15th TCT Select Flight West 2023
47 Rampage** Loss 0-11 0 159 0% Ignored (Why) Jul 15th TCT Select Flight West 2023
23 Wildfire** Loss 2-11 0 170 0% Ignored (Why) Jul 16th TCT Select Flight West 2023
85 Haboob Loss 5-12 -22.92 164 10.26% Counts (Why) Jul 16th TCT Select Flight West 2023
24 Dark Sky** Loss 0-13 0 182 0% Ignored (Why) Aug 19th Ski Town Classic 2023
56 Fiasco** Loss 0-12 0 223 0% Ignored (Why) Aug 19th Ski Town Classic 2023
50 Seven Devils** Loss 2-13 0 150 0% Ignored (Why) Aug 19th Ski Town Classic 2023
85 Haboob Loss 8-11 5.5 164 13.95% Counts Aug 20th Ski Town Classic 2023
83 Seattle Soul Loss 8-9 58.02 111 13.2% Counts Aug 20th Ski Town Classic 2023
78 Swell Loss 5-12 -5.36 159 13.39% Counts (Why) Aug 20th Ski Town Classic 2023
71 Venom** Loss 2-10 0 109 0% Ignored (Why) Sep 9th 2023 Womens SoCal Sectional Championship
23 Wildfire** Loss 0-13 0 170 0% Ignored (Why) Sep 9th 2023 Womens SoCal Sectional Championship
85 Haboob Loss 6-13 -39.26 164 16.37% Counts (Why) Sep 9th 2023 Womens SoCal Sectional Championship
47 Rampage** Loss 1-13 0 159 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.