(1) #75 Iowa Wild Rose (1-16)

-45.36 (4)

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# Opponent Result Effect Opp. Delta % of Ranking Status Date Event
62 Wicked Loss 9-12 4.93 1 5.28% Counts Jul 9th Heavyweights 2022
66 Solstice Loss 5-9 -8.3 65 4.53% Counts Jul 9th Heavyweights 2022
70 Stormborn Loss 7-11 -14.94 1 5.14% Counts Jul 9th Heavyweights 2022
34 Heist** Loss 1-15 0 1 0% Ignored (Why) Jul 9th Heavyweights 2022
57 Banshee Loss 4-12 -3.66 21 5.07% Counts (Why) Jul 10th Heavyweights 2022
72 Lady Forward Loss 10-11 -1.62 4 5.28% Counts Jul 10th Heavyweights 2022
57 Banshee Loss 7-11 4.39 21 6.36% Counts Aug 6th Spirit of the Plains 2022
70 Stormborn Win 11-6 48.6 1 6.18% Counts (Why) Aug 6th Spirit of the Plains 2022
- The Book Club Loss 6-13 4.06 7 8.53% Counts (Why) Sep 10th 2022 West Plains Womens Sectional Championship
62 Wicked Loss 4-15 -15.5 1 8.53% Counts (Why) Sep 10th 2022 West Plains Womens Sectional Championship
57 Banshee Loss 2-12 -6.11 21 8.19% Counts (Why) Sep 10th 2022 West Plains Womens Sectional Championship
33 Stellar** Loss 2-15 0 3 0% Ignored (Why) Sep 10th 2022 West Plains Womens Sectional Championship
57 Banshee Loss 5-11 -6.54 21 8.71% Counts (Why) Sep 24th 2022 North Central Womens Regional Championships
33 Stellar Loss 7-11 65.2 3 9.24% Counts Sep 24th 2022 North Central Womens Regional Championships
72 Lady Forward Loss 8-11 -28.28 4 9.49% Counts Sep 24th 2022 North Central Womens Regional Championships
21 Pop** Loss 0-11 0 3 0% Ignored (Why) Sep 24th 2022 North Central Womens Regional Championships
70 Stormborn Loss 2-15 -42.87 1 9.49% Counts (Why) 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.