(7) #75 Calypso (2-18)

454.85 (110)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
67 Magma Loss 6-8 -6.58 82 4.02% Counts Jul 8th Club Terminus 2023
44 Juice Box Loss 3-13 -3.26 50 4.68% Counts (Why) Jul 8th Club Terminus 2023
17 Ozone** Loss 1-13 0 50 0% Ignored (Why) Jul 8th Club Terminus 2023
35 Huntsville Laika** Loss 5-13 0 35 0% Ignored (Why) Jul 9th Club Terminus 2023
61 Steel Loss 6-10 -10.65 19 4.29% Counts Jul 9th Club Terminus 2023
58 Fiasco Loss 7-11 -6.3 9 4.55% Counts Jul 9th Club Terminus 2023
55 Shiver Loss 6-14 -11.98 39 6.11% Counts (Why) Aug 12th HoDown Showdown 2023
67 Magma Win 10-9 17.46 82 6.11% Counts Aug 12th HoDown Showdown 2023
44 Juice Box Loss 6-13 -4.32 50 6.11% Counts (Why) Aug 12th HoDown Showdown 2023
72 KnoxFusion Win 12-10 17.99 44 6.11% Counts Aug 12th HoDown Showdown 2023
46 San Antonio Problems Loss 6-15 -6.22 38 6.11% Counts (Why) Aug 13th HoDown Showdown 2023
55 Shiver Loss 6-13 -11.98 39 6.11% Counts (Why) Aug 13th HoDown Showdown 2023
44 Juice Box Loss 8-9 25.06 50 5.78% Counts Aug 13th HoDown Showdown 2023
30 Tabby Rosa Loss 9-12 47.77 7 7.56% Counts Sep 9th 2023 Womens Florida Sectional Championship
58 Fiasco Loss 11-12 17.16 9 7.56% Counts Sep 9th 2023 Womens Florida Sectional Championship
30 Tabby Rosa** Loss 3-10 0 7 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
67 Magma Loss 2-13 -41.95 82 8.41% Counts (Why) Sep 23rd 2023 Southeast Womens Regional Championship
55 Shiver Loss 3-12 -16.18 39 8.07% Counts (Why) Sep 23rd 2023 Southeast Womens Regional Championship
2 Phoenix** Loss 2-13 0 68 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
44 Juice Box Loss 7-15 -6.1 50 8.41% 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.