() #30 Tabby Rosa (10-7)

1384.24 (7)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
26 Vengeance Loss 7-13 -30.06 4 5.59% Counts Jul 15th TCT Pro Elite Challenge East 2023
7 BENT Loss 10-14 20.63 46 5.59% Counts Jul 15th TCT Pro Elite Challenge East 2023
16 Grit Loss 9-11 3.36 20 5.59% Counts Jul 15th TCT Pro Elite Challenge East 2023
31 Rival Win 12-7 29.76 3 5.59% Counts (Why) Jul 16th TCT Pro Elite Challenge East 2023
7 BENT Loss 9-14 21.51 46 7.3% Counts Aug 19th TCT Elite Select Challenge 2023
38 FAB Win 10-8 -0.18 43 7.1% Counts Aug 19th TCT Elite Select Challenge 2023
14 Parcha Loss 8-15 -9.71 20 7.3% Counts Aug 19th TCT Elite Select Challenge 2023
27 Underground Win 9-6 31.91 8 6.48% Counts Aug 20th TCT Elite Select Challenge 2023
17 Ozone Loss 8-9 13.13 50 6.9% Counts Aug 20th TCT Elite Select Challenge 2023
54 Stellar Win 11-7 -3.09 15 7.1% Counts Aug 20th TCT Elite Select Challenge 2023
75 Calypso Win 12-9 -54.69 110 8.56% Counts Sep 9th 2023 Womens Florida Sectional Championship
58 Fiasco Win 10-7 -18.06 9 8.1% Counts Sep 9th 2023 Womens Florida Sectional Championship
75 Calypso** Win 10-3 0 110 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
67 Magma** Win 13-4 0 82 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
2 Phoenix** Loss 1-13 0 68 0% Ignored (Why) Sep 23rd 2023 Southeast Womens Regional Championship
55 Shiver Win 11-7 -4.77 39 9.27% Counts Sep 23rd 2023 Southeast Womens Regional Championship
44 Juice Box Win 15-11 -1.54 50 9.53% Counts 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.