(2) #58 Fiasco (7-12)

789.62 (9)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
78 cATLanta Win 9-5 4.36 14 4.24% Counts (Why) Jul 8th Club Terminus 2023
61 Steel Win 9-5 20.04 19 4.24% Counts (Why) Jul 8th Club Terminus 2023
35 Huntsville Laika Loss 5-12 -10.79 35 4.74% Counts (Why) Jul 8th Club Terminus 2023
75 Calypso Win 11-7 6.66 110 4.8% Counts Jul 9th Club Terminus 2023
67 Magma Loss 7-8 -14.51 82 4.38% Counts Jul 9th Club Terminus 2023
78 cATLanta Loss 8-9 -27.19 14 4.67% Counts Jul 9th Club Terminus 2023
19 Dark Sky Loss 7-11 22.99 98 6.61% Counts Aug 19th Ski Town Classic 2023
100 Just Add Water** Win 12-0 0 34 0% Ignored (Why) Aug 19th Ski Town Classic 2023
87 Haboob Win 8-5 -10.68 27 5.62% Counts (Why) Aug 19th Ski Town Classic 2023
32 Crush City Loss 8-10 18.49 21 6.61% Counts Aug 20th Ski Town Classic 2023
45 Rampage Loss 4-10 -26.24 7 5.94% Counts (Why) Aug 20th Ski Town Classic 2023
49 Trainwreck Loss 7-8 1.25 26 6.04% Counts Aug 20th Ski Town Classic 2023
75 Calypso Win 12-11 -18.17 110 7.97% Counts Sep 9th 2023 Womens Florida Sectional Championship
30 Tabby Rosa Loss 7-10 16.72 7 7.54% Counts Sep 9th 2023 Womens Florida Sectional Championship
35 Huntsville Laika Loss 3-14 -21.12 35 8.87% Counts (Why) Sep 23rd 2023 Southeast Womens Regional Championship
17 Ozone** Loss 1-15 0 50 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
44 Juice Box Loss 11-12 7.18 50 8.87% Counts Sep 23rd 2023 Southeast Womens Regional Championship
2 Phoenix** Loss 2-15 0 68 0% Ignored (Why) Sep 24th 2023 Southeast Womens Regional Championship
67 Magma Win 12-7 32.03 82 8.87% Counts (Why) Sep 24th 2023 Southeast Womens Regional Championship
**Blowout Eligible. Learn more about how this works here.

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.