() #62 Wicked (8-12)

388.42 (1)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
50 Medusa Loss 9-12 -1.06 30 4.51% Counts Jul 9th Heavyweights 2022
27 Indy Rogue** Loss 5-15 0 8 0% Ignored (Why) Jul 9th Heavyweights 2022
59 Autonomous Loss 7-11 -18 18 4.39% Counts Jul 9th Heavyweights 2022
75 Iowa Wild Rose Win 12-9 -4.17 4 4.51% Counts Jul 9th Heavyweights 2022
72 Lady Forward Win 15-8 10.71 4 4.51% Counts (Why) Jul 10th Heavyweights 2022
57 Banshee Loss 8-13 -18.81 21 4.51% Counts Jul 10th Heavyweights 2022
69 Trainwreck Win 11-8 15.88 6 6.21% Counts Aug 20th OK Corral 2022
55 TWISTED Win 8-7 14.2 7 5.52% Counts Aug 20th OK Corral 2022
35 Hayride** Loss 4-13 0 7 0% Ignored (Why) Aug 20th OK Corral 2022
69 Trainwreck Win 13-10 13.4 6 6.21% Counts Aug 21st OK Corral 2022
35 Hayride Loss 8-15 5.01 7 6.21% Counts Aug 21st OK Corral 2022
- The Book Club Loss 6-13 -30.66 7 7.28% Counts (Why) Sep 10th 2022 West Plains Womens Sectional Championship
75 Iowa Wild Rose Win 15-4 13.06 4 7.28% Counts (Why) Sep 10th 2022 West Plains Womens Sectional Championship
33 Stellar Loss 7-15 5.8 3 7.28% Counts (Why) Sep 10th 2022 West Plains Womens Sectional Championship
57 Banshee Win 10-9 17.5 21 7.28% Counts Sep 10th 2022 West Plains Womens Sectional Championship
34 Heist** Loss 5-15 0 1 0% Ignored (Why) Sep 24th 2022 North Central Womens Regional Championships
50 Medusa Loss 9-15 -16.99 30 8.1% Counts Sep 24th 2022 North Central Womens Regional Championships
70 Stormborn Win 15-7 31.51 1 8.1% Counts (Why) Sep 24th 2022 North Central Womens Regional Championships
33 Stellar** Loss 5-15 0 3 0% Ignored (Why) Sep 25th 2022 North Central Womens Regional Championships
57 Banshee Loss 7-12 -37.28 21 8.1% Counts Sep 25th 2022 North Central Womens Regional Championships
**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.