(1) #31 Rival (11-6)

1362.95 (74)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
38 Hayride Win 15-4 36.96 63 9.61% Counts (Why) Jul 15th TCT Pro Elite Challenge East 2023
18 Ozone Loss 7-11 -20 3 9.36% Counts Jul 15th TCT Pro Elite Challenge East 2023
14 Parcha Loss 9-10 38.09 28 9.61% Counts Jul 15th TCT Pro Elite Challenge East 2023
30 Tabby Rosa Loss 7-12 -52.31 96 9.61% Counts Jul 16th TCT Pro Elite Challenge East 2023
43 Zephyr Win 13-6 34.88 143 10.7% Counts (Why) Jul 29th TCT Select Flight East 2023
39 Brooklyn Book Club Loss 7-8 -40.67 148 9.5% Counts Jul 29th TCT Select Flight East 2023
51 Shiver Win 10-5 12.62 206 9.5% Counts (Why) Jul 29th TCT Select Flight East 2023
32 Crush City Win 13-9 46.75 142 10.7% Counts Jul 30th TCT Select Flight East 2023
34 Indy Rogue Loss 10-14 -64.64 66 10.7% Counts Jul 30th TCT Select Flight East 2023
15 Starling Ultimate Loss 10-13 9.23 80 10.7% Counts Jul 30th TCT Select Flight East 2023
77 Autonomous** Win 13-3 0 184 0% Ignored (Why) Sep 9th 2023 Womens East Plains Sectional Championship
84 Notorious C.L.E.** Win 13-2 0 96 0% Ignored (Why) Sep 9th 2023 Womens East Plains Sectional Championship
92 Sureshot** Win 13-0 0 264 0% Ignored (Why) Sep 9th 2023 Womens East Plains Sectional Championship
101 Solstice** Win 13-3 0 165 0% Ignored (Why) Sep 9th 2023 Womens East Plains Sectional Championship
97 Y'all** Win 13-0 0 204 0% Ignored (Why) Sep 10th 2023 Womens East Plains Sectional Championship
77 Autonomous** Win 15-3 0 184 0% Ignored (Why) Sep 10th 2023 Womens East Plains Sectional Championship
92 Sureshot** Win 15-2 0 264 0% Ignored (Why) Sep 10th 2023 Womens East Plains Sectional 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.